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A

A - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
A - Variable in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
Ablock - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
add(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = a + b
cij = aij + bij
add(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = a + b
ci = ai + bi
add(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = a + b
cij = aij + bij
add(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = a + b
ci = ai + bi
add(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = a + b
cij = aij + bij
add(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = a + b
ci = ai + bi
add(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = a + b
cij = aij + bij
add(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = a + b
ci = ai + bi
add(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = a + b
cij = aij + bij
add(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = a + b
ci = ai + bi
add(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = a + b
cij = aij + bij
add(DMatrixD1, double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = a + β * b
cij = aij + β * bij
add(double, DMatrixD1, double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = α * a + β * b
cij = α * aij + β * bij
add(double, DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = α * a + b
cij = α * aij + bij
add(DMatrixD1, double) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an in-place scalar addition:

a = a + val
aij = aij + val
add(DMatrixD1, double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs scalar addition:

c = a + val
cij = aij + val
add_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
 
add_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB
Row vector add:
add: ci = α*ai + βBi
where 'a', 'b', and 'c' are row vectors within the row block vectors of A, B, and C respectively.
addComputedEigen2x2(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
addEigenAt(int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
addEquals(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

a = a + b
aij = aij + bij
addEquals(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

a = a + b
ai = ai + bi
addEquals(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

a = a + b
aij = aij + bij
addEquals(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

a = a + b
ai = ai + bi
addEquals(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

a = a + b
aij = aij + bij
addEquals(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

a = a + b
ai = ai + bi
addEquals(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

a = a + b
aij = aij + bij
addEquals(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

a = a + b
ai = ai + bi
addEquals(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

a = a + b
aij = aij + bij
addEquals(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

a = a + b
ai = ai + bi
addEquals(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

a = a + b
aij = aij + bij
addEquals(DMatrixD1, double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

a = a + β * b
aij = aij + β * bij
addIdentity(DMatrix1Row, DMatrix1Row, double) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Performs the following operation:

B = A + αI
addOuterProd(double, DMatrixD1, DMatrixD1, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
Adds to A ∈ ℜ m × n the results of an outer product multiplication of the two vectors.
addRow(DMatrixRMaj, DMatrixRMaj, double[], int, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
Adjusts the values of the Q and R matrices to take in account the effects of inserting a row to the 'A' matrix at the specified location.
addRowToA(double[], int) - Method in interface org.ejml.dense.row.linsol.AdjustableLinearSolver_DDRM
Adds a row to A.
addRowToA(double[], int) - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM
 
addUniform(DMatrixRMaj, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Adds random values to each element in the matrix from an uniform distribution.

aij = aij + U(min,max)
AdjLinearSolverQr_DDRM - Class in org.ejml.dense.row.linsol.qr
A solver for QR decomposition that can efficiently modify the previous decomposition when data is added or removed.
AdjLinearSolverQr_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM
 
adjustable() - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Create a solver which can efficiently add and remove elements instead of recomputing everything from scratch.
AdjustableLinearSolver_DDRM - Interface in org.ejml.dense.row.linsol
In many situations solutions to linear systems that share many of the same data points are needed.
alg - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
alg - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
applyQ(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
Multiplies the provided matrix by Q using householder reflectors.
applyQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
Specialized version of applyQ() that allows the zeros in an identity matrix to be taken advantage of depending on if isIdentity is true or not.
applyQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
A = Q*A
applyQTran(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
Multiplies the provided matrix by QT using householder reflectors.
applyReflectorsToRow(int, DSubmatrixD1, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Applies the reflectors that have been computed previously to the specified row.
applyTranQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
A = QT*A

B

BaseDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition
Generic interface for wrapping a DMatrixRBlock decomposition for processing of DMatrixRMaj.
BaseDecomposition_DDRB_to_DDRM(DecompositionInterface<DMatrixRBlock>, int) - Constructor for class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
BaseLinearSolverQrp_DDRM - Class in org.ejml.dense.row.linsol.qr
Base class for QR pivot based pseudo inverse classes.
BaseLinearSolverQrp_DDRM(QRPDecomposition_F64<DMatrixRMaj>, boolean) - Constructor for class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
Configures internal parameters.
BidiagonalDecompositionRow_DDRM - Class in org.ejml.dense.row.decomposition.bidiagonal
Performs a BidiagonalDecomposition_F64 using householder reflectors.
BidiagonalDecompositionRow_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Creates a decompose that defines the specified amount of memory.
BidiagonalDecompositionRow_DDRM() - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
BidiagonalDecompositionTall_DDRM - Class in org.ejml.dense.row.decomposition.bidiagonal
BidiagonalDecomposition_F64 specifically designed for tall matrices.
BidiagonalDecompositionTall_DDRM() - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
BidiagonalHelper_DDRB - Class in org.ejml.dense.block.decomposition.bidiagonal
 
BidiagonalHelper_DDRB() - Constructor for class org.ejml.dense.block.decomposition.bidiagonal.BidiagonalHelper_DDRB
 
bidiagOuterBlocks(int, DSubmatrixD1, double[], double[]) - Static method in class org.ejml.dense.block.decomposition.bidiagonal.BidiagonalHelper_DDRB
Performs a standard bidiagonal decomposition just on the outer blocks of the provided matrix
block(DMatrix1Row, DMatrix1Row, int) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_DDRM
Performs a transpose across block sub-matrices.
blockA - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
blockAligned(int, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Checks to see if the submatrix has its boundaries along inner blocks.
blockB - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
BlockHouseHolder_DDRB - Class in org.ejml.dense.block.decomposition.qr
Contains various helper functions for performing a block matrix QR decomposition.
BlockHouseHolder_DDRB() - Constructor for class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
 
blockLength - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
blockMultMinus(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C - A * B
blockMultMinusTransA(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C - AT * B
blockMultMinusTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C - A * BT
blockMultPlus(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C + A * B
blockMultPlus(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C + α A * B
blockMultPlusTransA(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C + AT * B
blockMultPlusTransA(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C + α AT * B
blockMultPlusTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C + A * BT
blockMultPlusTransB(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = C + α A * BT
blockMultSet(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = A * B
blockMultSet(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = α A * B
blockMultSetTransA(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = AT * B
blockMultSetTransA(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = α AT * B
blockMultSetTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = A * BT
blockMultSetTransB(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB
Performs the follow operation on individual inner blocks:

C = α A * BT
blockX - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
boundLargestEigenValue(DMatrixRMaj, double[]) - Static method in class org.ejml.dense.row.EigenOps_DDRM
Generates a bound for the largest eigen value of the provided matrix using Perron-Frobenius theorem.
bulgeDoubleStepQn(int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
bulgeDoubleStepQn(int, double, double, double, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
bulgeSingleStepQn(int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
bulgeSingleStepQn(int, double, double, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 

C

changeSign(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Changes the sign of every element in the matrix.

aij = -aij
changeSign(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Changes the sign of every element in the vector.

ai = -ai
changeSign(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Changes the sign of every element in the matrix.

aij = -aij
changeSign(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Changes the sign of every element in the vector.

ai = -ai
changeSign(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Changes the sign of every element in the matrix.

aij = -aij
changeSign(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Changes the sign of every element in the vector.

ai = -ai
changeSign(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Changes the sign of every element in the matrix.

aij = -aij
changeSign(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Changes the sign of every element in the vector.

ai = -ai
changeSign(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Changes the sign of every element in the matrix.

aij = -aij
changeSign(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Changes the sign of every element in the vector.

ai = -ai
changeSign(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Changes the sign of every element in the matrix.

aij = -aij
changeSign(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Changes the sign of every element in the matrix.

outputij = -inputij
checkForAndHandleZeros() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Checks to see if either the diagonal element or off diagonal element is zero.
checkIdenticalShape(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Checks to see if the two matrices have an identical shape an block size.
checkIdentity(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM
 
checkSvdMatrixSize(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Checks to see if all the provided matrices are the expected size for an SVD.
checkZeros(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM
 
checkZerosLT(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM
Creates a zeros matrix only if A does not already exist.
checkZerosUT(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM
Creates a zeros matrix only if A does not already exist.
chol(int, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns a CholeskyDecomposition_F64 that has been optimized for the specified matrix size.
chol(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a linear solver using Cholesky decomposition
CholeskyDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition.chol
Wrapper around CholeskyOuterForm_DDRB that allows it to process DMatrixRMaj.
CholeskyDecomposition_DDRB_to_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM
 
CholeskyDecompositionBlock_DDRM - Class in org.ejml.dense.row.decomposition.chol
This is an implementation of Cholesky that processes internal submatrices as blocks.
CholeskyDecompositionBlock_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM
Creates a CholeksyDecomposition capable of decomposing a matrix that is n by n, where n is the width.
CholeskyDecompositionCommon_DDRM - Class in org.ejml.dense.row.decomposition.chol
This is an abstract class for a Cholesky decomposition.
CholeskyDecompositionCommon_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
Specifies if a lower or upper variant should be constructed.
CholeskyDecompositionInner_DDRM - Class in org.ejml.dense.row.decomposition.chol
This implementation of a Cholesky decomposition using the inner-product form.
CholeskyDecompositionInner_DDRM() - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM
 
CholeskyDecompositionInner_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM
 
CholeskyDecompositionLDL_DDRM - Class in org.ejml.dense.row.decomposition.chol
This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition:

L*D*LT=A

where L is a lower triangular matrix with zeros on the diagonal.
CholeskyDecompositionLDL_DDRM() - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
 
CholeskyOuterForm_DDRB - Class in org.ejml.dense.block.decomposition.chol
Block Cholesky using outer product form.
CholeskyOuterForm_DDRB(boolean) - Constructor for class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB
Creates a new BlockCholeskyOuterForm
CholeskyOuterSolver_DDRB - Class in org.ejml.dense.block.linsol.chol
Linear solver that uses a block cholesky decomposition.
CholeskyOuterSolver_DDRB() - Constructor for class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
 
cholLDL(int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns a CholeskyDecompositionLDL_DDRM that has been optimized for the specified matrix size.
columnsToVector(DMatrixRMaj, DMatrixRMaj[]) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Converts the columns in a matrix into a set of vectors.
CommonOps_DDF2 - Class in org.ejml.dense.fixed
Common matrix operations for fixed sized matrices which are 2 x 2 or 2 element vectors.
CommonOps_DDF2() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF2
 
CommonOps_DDF3 - Class in org.ejml.dense.fixed
Common matrix operations for fixed sized matrices which are 3 x 3 or 3 element vectors.
CommonOps_DDF3() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF3
 
CommonOps_DDF4 - Class in org.ejml.dense.fixed
Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.
CommonOps_DDF4() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF4
 
CommonOps_DDF5 - Class in org.ejml.dense.fixed
Common matrix operations for fixed sized matrices which are 5 x 5 or 5 element vectors.
CommonOps_DDF5() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF5
 
CommonOps_DDF6 - Class in org.ejml.dense.fixed
Common matrix operations for fixed sized matrices which are 6 x 6 or 6 element vectors.
CommonOps_DDF6() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF6
 
CommonOps_DDRM - Class in org.ejml.dense.row
Common matrix operations are contained here.
CommonOps_DDRM() - Constructor for class org.ejml.dense.row.CommonOps_DDRM
 
commonSetup(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
This function performs sanity check on the input for decompose and sets up the QR matrix.
compute(DMatrix1Row) - Method in class org.ejml.dense.row.misc.DeterminantFromMinor_DDRM
Computes the determinant for the specified matrix.
computeDeterminant() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB
 
computeDeterminant() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM
 
computeDeterminant() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
computeDeterminant() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
Computes the determinant from the LU decomposition.
computeDirect(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
This method computes the eigen vector with the largest eigen value by using the direct power method.
computeEigenValue(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.EigenOps_DDRM
Given matrix A and an eigen vector of A, compute the corresponding eigen value.
computeEigenVector(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.EigenOps_DDRM
Given an eigenvalue it computes an eigenvector using inverse iteration:
for i=1:MAX {
(A - μI)z(i) = q(i-1)
q(i) = z(i) / ||z(i)||
λ(i) = q(i)T A q(i)
}
computeHouseHolderCol(int, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes the householder vector that is used to create reflector for the column.
computeHouseHolderRow(int, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes the householder vector from the specified row
computeLikelihoodP() - Method in class org.ejml.dense.row.CovarianceRandomDraw_DDRM
Computes the likelihood of the random draw
computeRotator(double, double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Computes a rotator that will set run to zero (?)
computeRowOfV(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Final computation for a single row of 'v':

v = y -(1/2)γ(y^T*u)*u
computeShift() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
computeShiftDirect(DMatrixRMaj, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
Computes the most dominant eigen vector of A using a shifted matrix.
computeShiftInvert(DMatrixRMaj, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
Computes the most dominant eigen vector of A using an inverted shifted matrix.
computeTauAndDivide(int, int, double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
computeTauAndDivide(int, int, double[], double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
Normalizes elements in 'u' by dividing by max and computes the norm2 of the normalized array u.
computeTauAndDivideCol(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
From the specified column of Y tau is computed and each element is divided by 'max'.
computeTauAndDivideRow(int, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
From the specified row of Y tau is computed and each element is divided by 'max'.
computeU(int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
computeV(int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
computeV_blockVector(int, DSubmatrixD1, double[], DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Given an already computed tridiagonal decomposition, compute the V row block vector.

y(:) = A*u
v(i) = y - (1/2)*γ*(y^T*u)*u
computeW_Column(int, DSubmatrixD1, DSubmatrixD1, double[], double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes W from the householder reflectors stored in the columns of the column block submatrix Y.
computeW_row(int, DSubmatrixD1, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Computes W from the householder reflectors stored in the columns of the row block submatrix Y.
computeWilkinsonShift() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
computeY(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Computes the 'y' vector and stores the result in 'v'

y = -γ(A + U*V^T + V*U^T)u
computeY_t_V(int, DSubmatrixD1, int, double[]) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes YTv(j).
computeZ(int, DSubmatrixD1, DSubmatrixD1, int, double[], double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes the vector z and inserts it into 'W':

z = - βj*(Vj + W*h)

where h is a vector of length 'col' and was computed using BlockHouseHolder_DDRB.computeY_t_V(int, org.ejml.data.DSubmatrixD1, int, double[]).
concatColumns(DMatrixRMaj...) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Concatinates all the matrices together along their columns.
concatRows(DMatrixRMaj...) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Concatinates all the matrices together along their columns.
conditionP(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.NormOps_DDRM
The condition number of a matrix is used to measure the sensitivity of the linear system Ax=b.
conditionP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
The condition p = 2 number of a matrix is used to measure the sensitivity of the linear system Ax=b.
convert(DMatrixRMaj, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Converts a row major matrix into a row major block matrix.
convert(DMatrixRBlock, DMatrixRMaj) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Converts a row major block matrix into a row major matrix.
convert(DMatrixRMaj, int) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
convert(DMatrixRMaj) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
convertBlockToRow(int, int, int, double[], double[]) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Converts matrix data stored is a block row major format into a row major format in place.
convertBlockToRow(int, int, int, double[]) - Method in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
convertRowToBlock(int, int, int, double[], double[]) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Converts matrix data stored is a row major format into a block row major format in place.
convertToColumnMajor(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.
convertTranSrc(DMatrixRMaj, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Converts the transpose of a row major matrix into a row major block matrix.
copy(DMatrix, DMatrix) - Static method in class org.ejml.generic.GenericMatrixOps_F64
 
copyChangeRow(int[], DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Creates a copy of a matrix but swaps the rows as specified by the order array.
copyDiag(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
copyEigenvalues(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
copyOff(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
copyTriangle(boolean, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Copies either the upper or lower triangular portion of src into dst.
copyTriangle(DMatrixRMaj, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Copies just the upper or lower triangular portion of a matrix.
countNonZero(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Counts the number of elements in A which are not zero.
countTrue(BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Counts the number of elements in A which are true
CovarianceOps_DDRM - Class in org.ejml.dense.row
Contains operations specific to covariance matrices.
CovarianceOps_DDRM() - Constructor for class org.ejml.dense.row.CovarianceOps_DDRM
 
CovarianceRandomDraw_DDRM - Class in org.ejml.dense.row
Generates random vectors based on a zero mean multivariate Gaussian distribution.
CovarianceRandomDraw_DDRM(Random, DMatrixRMaj) - Constructor for class org.ejml.dense.row.CovarianceRandomDraw_DDRM
Creates a random distribution with the specified mean and covariance.
createBulge(int, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Performs a similar transform on A-pI
createBulge(int, double, double, boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Performs a similar transform on BTB-pI
createBulge2by2(int, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
createBulgeSingleStep(int, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
createMatrixD(EigenDecomposition_F64) - Static method in class org.ejml.dense.row.EigenOps_DDRM
A diagonal matrix where real diagonal element contains a real eigenvalue.
createMatrixV(EigenDecomposition_F64<DMatrixRMaj>) - Static method in class org.ejml.dense.row.EigenOps_DDRM
Puts all the real eigenvectors into the columns of a matrix.
createR - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
createRandom(int, int, double, double, Random) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
createRandom(int, int, double, double, Random, int) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
createReflector(DMatrix1Row) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Creates a reflector from the provided vector.

Q = I - γ u uT
γ = 2/||u||2
createReflector(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Creates a reflector from the provided vector and gamma.

Q = I - γ u uT

D

dataLU - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
dataQR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
dataQR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Where the Q and R matrices are stored.
declareInternalData(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
Declares the internal data structures so that it can process matrices up to the specified size.
decomp - Variable in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB
Decomposes the provided matrix and stores the result in the same matrix.
decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
 
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Computes the decomposition of the provided matrix.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
Performs Choleksy decomposition on the provided matrix.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
Performs Choleksy decomposition on the provided matrix.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
Decomposes the matrix using the QR algorithm.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM
 
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
Computes the decomposition of the provided matrix.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
Decomposes the provided symmetric matrix.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
Decomposes the provided symmetric matrix.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionAlt_DDRM
This is a modified version of what was found in the JAMA package.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
To decompose the matrix 'A' it must have full rank.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
In order to decompose the matrix 'A' it must have full rank.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
To decompose the matrix 'A' it must have full rank.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
To decompose the matrix 'A' it must have full rank.
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
decomposeCommonInit(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
decomposeLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM
Performs Choleksy decomposition on the provided matrix.
decomposeLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
Performs an lower triangular decomposition.
decomposeLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM
 
decomposeQR_block_col(int, DSubmatrixD1, double[]) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Performs a standard QR decomposition on the specified submatrix that is one block wide.
decomposer - Variable in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
decomposeSafe(DecompositionInterface<T>, T) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
A simple convinience function that decomposes the matrix but automatically checks the input ti make sure is not being modified.
decomposeUpper() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM
 
decomposeUpper() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
Performs an upper triangular decomposition.
decomposeUpper() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM
 
DecompositionFactory_DDRM - Class in org.ejml.dense.row.factory
Contains operations related to creating and evaluating the quality of common matrix decompositions.
DecompositionFactory_DDRM() - Constructor for class org.ejml.dense.row.factory.DecompositionFactory_DDRM
 
deleteRow(DMatrixRMaj, DMatrixRMaj, int, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
Adjusts the values of the Q and R matrices to take in account the effects of removing a row from the 'A' matrix at the specified location.
descendingOrder(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Adjusts the matrices so that the singular values are in descending order.
descendingOrder(DMatrixRMaj, boolean, double[], int, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Similar to SingularOps_DDRM.descendingOrder(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) but takes in an array of singular values instead.
det(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.
det(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.
det(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.
det(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.
det(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Returns the determinant of the matrix.
det - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
det(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
det2(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
det3(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
det4(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
det5(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
det6(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
DeterminantFromMinor_DDRM - Class in org.ejml.dense.row.misc
Computes the determinant of a matrix using Laplace expansion.
DeterminantFromMinor_DDRM(int) - Constructor for class org.ejml.dense.row.misc.DeterminantFromMinor_DDRM
 
DeterminantFromMinor_DDRM(int, int) - Constructor for class org.ejml.dense.row.misc.DeterminantFromMinor_DDRM
 
diag(DMatrix2x2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Extracts all diagonal elements from 'input' and places them inside the 'out' vector.
diag(DMatrix3x3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Extracts all diagonal elements from 'input' and places them inside the 'out' vector.
diag(DMatrix4x4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Extracts all diagonal elements from 'input' and places them inside the 'out' vector.
diag(DMatrix5x5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Extracts all diagonal elements from 'input' and places them inside the 'out' vector.
diag(DMatrix6x6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Extracts all diagonal elements from 'input' and places them inside the 'out' vector.
diag(double...) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero.

aij = 0 if i ≤ j
aij = diag[i] if i = j
diag(DMatrixRMaj, int, double...) - Static method in class org.ejml.dense.row.CommonOps_DDRM
 
diag - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
diag - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
diagonal(int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random diagonal matrix where the diagonal elements are selected from a uniform distribution that goes from min to max.
diagonal(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random matrix where all elements are zero but diagonal elements.
diagProd(DMatrix1Row) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Computes the product of the diagonal elements.
diagR(int, int, double...) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero.

aij = 0 if i ≤ j
aij = diag[i] if i = j
diffNormF(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Computes the F norm of the difference between the two Matrices:

Sqrt{∑i=1:mj=1:n ( aij - bij)2}
diffNormF_fast(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
 
diffNormP1(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Computes the p=1 p-norm of the difference between the two Matrices:

i=1:mj=1:n | aij - bij|

where |x| is the absolute value of x.
div_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB
Row vector divide:
div: bi = ai
where 'a' and 'b' are row vectors within the row block vector A and B.
divide(DMatrix2x2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an in-place element by element scalar division.
divide(DMatrix2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an in-place element by element scalar division.
divide(DMatrix2x2, double, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element scalar division.
divide(DMatrix2, double, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element scalar division.
divide(DMatrix3x3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an in-place element by element scalar division.
divide(DMatrix3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an in-place element by element scalar division.
divide(DMatrix3x3, double, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element scalar division.
divide(DMatrix3, double, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element scalar division.
divide(DMatrix4x4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an in-place element by element scalar division.
divide(DMatrix4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an in-place element by element scalar division.
divide(DMatrix4x4, double, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element scalar division.
divide(DMatrix4, double, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element scalar division.
divide(DMatrix5x5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an in-place element by element scalar division.
divide(DMatrix5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an in-place element by element scalar division.
divide(DMatrix5x5, double, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element scalar division.
divide(DMatrix5, double, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element scalar division.
divide(DMatrix6x6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an in-place element by element scalar division.
divide(DMatrix6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an in-place element by element scalar division.
divide(DMatrix6x6, double, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element scalar division.
divide(DMatrix6, double, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element scalar division.
divide(double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an in-place element by element scalar division with the scalar on top.

aij = α/aij
divide(DMatrixD1, double) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an in-place element by element scalar division with the scalar on bottom.

aij = aij
divide(double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an element by element scalar division with the scalar on top.

bij = α/aij
divide(DMatrixD1, double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an element by element scalar division with the scalar on botton.

bij = aij
divideElements(int, int, double[], double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
divideElements(int, int, double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
divideElements_Bcol(int, int, int, double[], double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
divideElements_Brow(int, int, double[], double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
divideElementsCol(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Divides the elements at the specified column by 'val'.
DMatrixComponent - Class in org.ejml.dense.row
Renders a matrix as an image.
DMatrixComponent(int, int) - Constructor for class org.ejml.dense.row.DMatrixComponent
 
DMatrixVisualization - Class in org.ejml.dense.row
Functions for visualizing matrices in a GUI matrices.
DMatrixVisualization() - Constructor for class org.ejml.dense.row.DMatrixVisualization
 
dominantEigenpair(DMatrixRMaj) - Static method in class org.ejml.dense.row.EigenOps_DDRM
Computes the dominant eigen vector for a matrix.
dot(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the vector dot product:

c = a * b

c ≥ ∑k=1:n { bk * ak }
dot(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the vector dot product:

c = a * b

c ≥ ∑k=1:n { bk * ak }
dot(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the vector dot product:

c = a * b

c ≥ ∑k=1:n { bk * ak }
dot(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the vector dot product:

c = a * b

c ≥ ∑k=1:n { bk * ak }
dot(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the vector dot product:

c = a * b

c ≥ ∑k=1:n { bk * ak }
dot(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the dot product or inner product between two vectors.
dot_row(int, DSubmatrixD1, int, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB
Row vector dot/inner product:
dot: c = sum ai*bi
where 'a' and 'b' are row vectors within the row block vector A and B, and 'c' is a scalar.
dot_row_col(int, DSubmatrixD1, int, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB
vector dot/inner product from one row vector and one column vector:
dot: c = sum ai*bi
where 'a' is a row vector 'b' is a column vectors within the row block vector A and B, and 'c' is a scalar.

E

eig(int, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns an EigenDecomposition that has been optimized for the specified matrix size.
eig(int, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.
eigen2by2_scale(double, double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
eigenBB_2x2(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Computes the eigenvalue of the 2 by 2 matrix BTB
EigenOps_DDRM - Class in org.ejml.dense.row
Additional functions related to eigenvalues and eigenvectors of a matrix.
EigenOps_DDRM() - Constructor for class org.ejml.dense.row.EigenOps_DDRM
 
EigenPowerMethod_DDRM - Class in org.ejml.dense.row.decomposition.eig
The power method is an iterative method that can be used to find dominant eigen vector in a matrix.
EigenPowerMethod_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
 
eigenSmall - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
eigenSmall - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
eigenvalue2by2(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Computes the eigenvalue of the 2 by 2 matrix.
EigenvalueExtractor_DDRM - Interface in org.ejml.dense.row.decomposition.eig
 
EigenvalueSmall_F64 - Class in org.ejml.dense.row.decomposition.eig
 
EigenvalueSmall_F64() - Constructor for class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64
 
elementDiagonalMaxAbs(DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Returns the absolute value of the digonal element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementDiv(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element division operation:

aij = aij / bij
elementDiv(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element division operation:

ai = ai / bi
elementDiv(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element division operation:

cij = aij / bij
elementDiv(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element division operation:

ci = ai / bi
elementDiv(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element division operation:

aij = aij / bij
elementDiv(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element division operation:

ai = ai / bi
elementDiv(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element division operation:

cij = aij / bij
elementDiv(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element division operation:

ci = ai / bi
elementDiv(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element division operation:

aij = aij / bij
elementDiv(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element division operation:

ai = ai / bi
elementDiv(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element division operation:

cij = aij / bij
elementDiv(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element division operation:

ci = ai / bi
elementDiv(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element division operation:

aij = aij / bij
elementDiv(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element division operation:

ai = ai / bi
elementDiv(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element division operation:

cij = aij / bij
elementDiv(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element division operation:

ci = ai / bi
elementDiv(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element division operation:

aij = aij / bij
elementDiv(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element division operation:

ai = ai / bi
elementDiv(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element division operation:

cij = aij / bij
elementDiv(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element division operation:

ci = ai / bi
elementDiv(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the an element by element division operation:

aij = aij / bij
elementDiv(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the an element by element division operation:

cij = aij / bij
elementExp(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Element-wise exp operation
cij = Math.log(aij)
elementLessThan(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the > operator to each element in A.
elementLessThan(DMatrixRMaj, DMatrixRMaj, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the < operator to each element in A.
elementLessThanOrEqual(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the ≥ operator to each element in A.
elementLessThanOrEqual(DMatrixRMaj, DMatrixRMaj, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the A ≤ B operator to each element.
elementLog(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Element-wise log operation
cij = Math.log(aij)
elementMax(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the value of the element in the matrix that has the largest value.

Max{ aij } for all i and j
elementMax(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the value of the element in the vector that has the largest value.

Max{ ai } for all i
elementMax(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the value of the element in the matrix that has the largest value.

Max{ aij } for all i and j
elementMax(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the value of the element in the vector that has the largest value.

Max{ ai } for all i
elementMax(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the value of the element in the matrix that has the largest value.

Max{ aij } for all i and j
elementMax(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the value of the element in the vector that has the largest value.

Max{ ai } for all i
elementMax(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the value of the element in the matrix that has the largest value.

Max{ aij } for all i and j
elementMax(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the value of the element in the vector that has the largest value.

Max{ ai } for all i
elementMax(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the value of the element in the matrix that has the largest value.

Max{ aij } for all i and j
elementMax(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the value of the element in the vector that has the largest value.

Max{ ai } for all i
elementMax(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Returns the value of the element in the matrix that has the largest value.

Max{ aij } for all i and j
elementMaxAbs(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementMaxAbs(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |ai| } for all i
elementMaxAbs(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementMaxAbs(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |ai| } for all i
elementMaxAbs(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementMaxAbs(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |ai| } for all i
elementMaxAbs(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementMaxAbs(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |ai| } for all i
elementMaxAbs(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementMaxAbs(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |ai| } for all i
elementMaxAbs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |aij| } for all i and j
elementMin(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the value of the element in the matrix that has the minimum value.

Min{ aij } for all i and j
elementMin(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the value of the element in the vector that has the minimum value.

Min{ ai } for all
elementMin(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the value of the element in the matrix that has the minimum value.

Min{ aij } for all i and j
elementMin(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the value of the element in the vector that has the minimum value.

Min{ ai } for all
elementMin(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the value of the element in the matrix that has the minimum value.

Min{ aij } for all i and j
elementMin(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the value of the element in the vector that has the minimum value.

Min{ ai } for all
elementMin(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the value of the element in the matrix that has the minimum value.

Min{ aij } for all i and j
elementMin(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the value of the element in the vector that has the minimum value.

Min{ ai } for all
elementMin(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the value of the element in the matrix that has the minimum value.

Min{ aij } for all i and j
elementMin(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the value of the element in the vector that has the minimum value.

Min{ ai } for all
elementMin(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Returns the value of the element in the matrix that has the minimum value.

Min{ aij } for all i and j
elementMinAbs(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |aij| } for all i and j
elementMinAbs(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |ai| } for all i
elementMinAbs(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |aij| } for all i and j
elementMinAbs(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |ai| } for all i
elementMinAbs(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |aij| } for all i and j
elementMinAbs(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |ai| } for all i
elementMinAbs(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |aij| } for all i and j
elementMinAbs(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |ai| } for all i
elementMinAbs(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |aij| } for all i and j
elementMinAbs(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |ai| } for all i
elementMinAbs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |aij| } for all i and j
elementMoreThan(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the > operator to each element in A.
elementMoreThanOrEqual(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the ≥ operator to each element in A.
elementMult(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element multiplication operation:

aij = aij * bij
elementMult(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element multiplication operation:

ai = ai * bi
elementMult(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element multiplication operation:

cij = aij * bij
elementMult(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element multiplication operation:

ci = ai * bj
elementMult(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element multiplication operation:

aij = aij * bij
elementMult(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element multiplication operation:

ai = ai * bi
elementMult(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element multiplication operation:

cij = aij * bij
elementMult(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element multiplication operation:

ci = ai * bj
elementMult(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element multiplication operation:

aij = aij * bij
elementMult(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element multiplication operation:

ai = ai * bi
elementMult(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element multiplication operation:

cij = aij * bij
elementMult(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element multiplication operation:

ci = ai * bj
elementMult(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element multiplication operation:

aij = aij * bij
elementMult(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element multiplication operation:

ai = ai * bi
elementMult(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element multiplication operation:

cij = aij * bij
elementMult(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element multiplication operation:

ci = ai * bj
elementMult(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element multiplication operation:

aij = aij * bij
elementMult(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element multiplication operation:

ai = ai * bi
elementMult(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element multiplication operation:

cij = aij * bij
elementMult(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element multiplication operation:

ci = ai * bj
elementMult(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the an element by element multiplication operation:

aij = aij * bij
elementMult(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the an element by element multiplication operation:

cij = aij * bij
elementP(DMatrix1Row, double) - Static method in class org.ejml.dense.row.NormOps_DDRM
Element wise p-norm:

norm = {∑i=1:mj=1:n { |aij|p}}1/p
elementPower(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Element-wise power operation
cij = aij ^ bij
elementPower(double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Element-wise power operation
cij = a ^ bij
elementPower(DMatrixD1, double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Element-wise power operation
cij = aij ^ b
elements(DMatrixRMaj, BMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'
elementSum(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the sum of all the elements in the matrix:

sum(i=1:m , j=1:n ; aij)
elementSumAbs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the sum of the absolute value all the elements in the matrix:

sum(i=1:m , j=1:n ; |aij|)
elementSumSq(DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Sums up the square of each element in the matrix.
error - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
error - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
error - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
exceptionalShift() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Perform a shift in a random direction that is of the same magnitude as the elements in the matrix.
exceptionalShift(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
Perform a shift in a random direction that is of the same magnitude as the elements in the matrix.
exceptionShift() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
It is possible for the QR algorithm to get stuck in a loop because of symmetries.
extract(DMatrix, int, int, int, int, DMatrix, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.
extract(DMatrixRMaj, int, int, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Creates a new matrix which is the specified submatrix of 'src'
extract(DMatrixRMaj, int[], int, int[], int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists
extract(DMatrixRMaj, int[], int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Extracts the elements from the source matrix by their 1D index.
extract(DMatrix, int, int, DMatrix, int, int, int, int) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDMA
 
extract(DMatrixRMaj, int, int, DMatrixRMaj, int, int, int, int) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM
 
extractAligned(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Extracts a matrix from src into dst.
extractColumn(DMatrix2x2, int, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Extracts the column from the matrix a.
extractColumn(DMatrix3x3, int, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Extracts the column from the matrix a.
extractColumn(DMatrix4x4, int, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Extracts the column from the matrix a.
extractColumn(DMatrix5x5, int, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Extracts the column from the matrix a.
extractColumn(DMatrix6x6, int, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Extracts the column from the matrix a.
extractColumn(DMatrixRMaj, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Extracts the column from a matrix.
extractDiag(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Extracts the diagonal elements 'src' write it to the 'dst' vector.
extractRow(DMatrix2x2, int, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Extracts the row from the matrix a.
extractRow(DMatrix3x3, int, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Extracts the row from the matrix a.
extractRow(DMatrix4x4, int, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Extracts the row from the matrix a.
extractRow(DMatrix5x5, int, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Extracts the row from the matrix a.
extractRow(DMatrix6x6, int, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Extracts the row from the matrix a.
extractRow(DMatrixRMaj, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Extracts the row from a matrix.
extractVectors(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 

F

fastElementP(DMatrixD1, double) - Static method in class org.ejml.dense.row.NormOps_DDRM
Same as NormOps_DDRM.elementP(org.ejml.data.DMatrix1Row, double) but runs faster by not mitigating overflow/underflow related problems.
fastNormF(DMatrix2x2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2
 
fastNormF(DMatrix2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2
 
fastNormF(DMatrix3x3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3
 
fastNormF(DMatrix3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3
 
fastNormF(DMatrix4x4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4
 
fastNormF(DMatrix4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4
 
fastNormF(DMatrix5x5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5
 
fastNormF(DMatrix5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5
 
fastNormF(DMatrix6x6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6
 
fastNormF(DMatrix6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6
 
fastNormF(DMatrixD1) - Static method in class org.ejml.dense.row.NormOps_DDRM
This implementation of the Frobenius norm is a straight forward implementation and can be susceptible for overflow/underflow issues.
fastNormP(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.NormOps_DDRM
An unsafe but faster version of NormOps_DDRM.normP(org.ejml.data.DMatrixRMaj, double) that calls routines which are faster but more prone to overflow/underflow problems.
fastNormP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the p=2 norm.
fill(DMatrix2x2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Sets every element in the matrix to the specified value.

aij = value
fill(DMatrix2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Sets every element in the vector to the specified value.

ai = value
fill(DMatrix3x3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Sets every element in the matrix to the specified value.

aij = value
fill(DMatrix3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Sets every element in the vector to the specified value.

ai = value
fill(DMatrix4x4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Sets every element in the matrix to the specified value.

aij = value
fill(DMatrix4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Sets every element in the vector to the specified value.

ai = value
fill(DMatrix5x5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Sets every element in the matrix to the specified value.

aij = value
fill(DMatrix5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Sets every element in the vector to the specified value.

ai = value
fill(DMatrix6x6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Sets every element in the matrix to the specified value.

aij = value
fill(DMatrix6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Sets every element in the vector to the specified value.

ai = value
fill(DMatrixD1, double) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Sets every element in the matrix to the specified value.

aij = value
fillGaussian(DMatrixD1, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation
fillUniform(DMatrixRMaj, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.
fillUniform(DMatrixD1, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Sets each element in the matrix to a value drawn from an uniform distribution from 'min' to 'max' inclusive.
findMax(double[], int, int) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
findMaxCol(int, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Finds the element in the column with the largest absolute value.
findMaxRow(int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Finds the element in the column with the largest absolute value.
findQandR() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 

G

gamma - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
gamma - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
gamma - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
gammas - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
gammas - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
gammas - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
gammas - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
general(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a general purpose solver.
GenericMatrixOps_F64 - Class in org.ejml.generic
 
GenericMatrixOps_F64() - Constructor for class org.ejml.generic.GenericMatrixOps_F64
 
getA() - Method in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
getA() - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM
Compute the A matrix from the Q and R matrices.
getB(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Returns the bidiagonal matrix.
getB(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
getColPivotMatrix(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
getColPivots() - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
getD(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
 
getDecomposer() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
getDecomposer() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
getDecomposition() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
 
getDecomposition() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
getDecomposition() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
getDiag() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getDiagonal(double[], double[]) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
getDiagonal() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
Diagonal elements of the diagonal D matrix.
getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM
 
getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
 
getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
Returns the eigenvalue at the specified index.
getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM
 
getEigenvalues() - Method in interface org.ejml.dense.row.decomposition.eig.EigenvalueExtractor_DDRM
 
getEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
getEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM
 
getEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 
getEigenVector() - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
 
getEigenVector(int) - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
getEigenVector(int) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
getEigenVector(int) - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM
 
getEigenvectors() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 
getGamma(int) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
 
getGammas() - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
 
getGammas() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
getGammas() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
getGammas() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
getGammasU() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Returns gammas from the householder operations for the U matrix.
getGammasV() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Returns gammas from the householder operations for the V matrix.
getH(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
An upper Hessenberg matrix from the decomposition.
getImplicit() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 
getImplicitQR() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM
 
getIndx() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
getL() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
Returns L matrix from the decomposition.
L*D*LT=A
getL(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
 
getLower(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
Writes the lower triangular matrix into the specified matrix.
getLU() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
getMatrixSize() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
getMaxValue() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getNumberOfEigenvalues() - Method in interface org.ejml.dense.row.decomposition.eig.EigenvalueExtractor_DDRM
 
getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
Returns the number of eigenvalues available.
getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM
 
getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM
 
getNumberOfSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getOff() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getPivot() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
getQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
getQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
 
getQ() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
 
getQ() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 
getQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
An orthogonal matrix that has the following property: H = QTAQ
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM
 
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
An orthogonal matrix that has the following property: T = QTAQ
getQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
An orthogonal matrix that has the following property: T = QTAQ
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
Computes the Q matrix from the information stored in the QR matrix.
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecomposition_DDRB_to_DDRM
 
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
Computes the Q matrix from the imformation stored in the QR matrix.
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Computes the Q matrix from the imformation stored in the QR matrix.
getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
Computes the Q matrix from the information stored in the QR matrix.
getQ() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
getQ() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM
 
getQ() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM
 
getQH() - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
The raw QH matrix that is stored internally.
getQR() - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
This is the input matrix after it has been overwritten with the decomposition.
getQR() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
Returns a single matrix which contains the combined values of Q and R.
getQR() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Returns the combined QR matrix in a 2D array format that is column major.
getQR() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
Inner matrix that stores the decomposition
getQT() - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
Returns the internal matrix where the decomposed results are stored.
getQT() - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
Returns the interal matrix where the decomposed results are stored.
getR(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
 
getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecomposition_DDRB_to_DDRM
 
getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
Returns an upper triangular matrix which is the R in the QR decomposition.
getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Returns an upper triangular matrix which is the R in the QR decomposition.
getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
Returns an upper triangular matrix which is the R in the QR decomposition.
getR() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
getRank() - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
getRowPivot(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
getRowPivotV(IGrowArray) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
getSingularValue(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
getSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
getSingularValues() - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM
 
getSvd() - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM
 
getT(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB
 
getT(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM
 
getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
getT() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
Returns the triangular matrix from the decomposition.
getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM
 
getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
Extracts the tridiagonal matrix found in the decomposition.
getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
Extracts the tridiagonal matrix found in the decomposition.
getU(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Returns the orthogonal U matrix.
getU(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
getU(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
getU(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
getU_tran() - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
 
getUBV() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
The raw UBV matrix that is stored internally.
getUpper(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
Writes the upper triangular matrix into the specified matrix.
getUt() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getV(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Returns the orthogonal V matrix.
getV(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
getV(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
getV(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
getVt() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
getW(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
getW(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 

H

handleB(DMatrixRMaj, boolean, int, int, int) - Static method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
handleU(DMatrixRMaj, boolean, boolean, int, int, int) - Static method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
handleV(DMatrixRMaj, boolean, boolean, int, int, int) - Static method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
hasNaN(DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if any element in the matrix is NaN.
hasUncountable(DMatrix2x2) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2
 
hasUncountable(DMatrix2) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2
 
hasUncountable(DMatrix3x3) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3
 
hasUncountable(DMatrix3) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3
 
hasUncountable(DMatrix4x4) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4
 
hasUncountable(DMatrix4) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4
 
hasUncountable(DMatrix5x5) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5
 
hasUncountable(DMatrix5) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5
 
hasUncountable(DMatrix6x6) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6
 
hasUncountable(DMatrix6) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6
 
hasUncountable(DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if any element in the matrix is NaN of Infinite.
HessenbergSimilarDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg
Finds the decomposition of a matrix in the form of:

A = OHOT

where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.
HessenbergSimilarDecomposition_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
Creates a decomposition that won't need to allocate new memory if it is passed matrices up to the specified size.
HessenbergSimilarDecomposition_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
 
householder(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
Computes the householder vector "u" for the first column of submatrix j.
householder(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Computes the householder vector "u" for the first column of submatrix j.
householder(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
Computes the householder vector "u" for the first column of submatrix j.
householder(double, DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
Multiplies a householder reflection against a vector:

y = (I + γ u uT)x
householderPivot(int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
Computes the householder vector "u" for the first column of submatrix j.
householderSymmetric(int, double) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
Performs the householder operations on left and right and side of the matrix.
householderSymmetric(int, double) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
Performs the householder operations on left and right and side of the matrix.

I

I - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
identity(int, int, int) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Returns a new matrix with ones along the diagonal and zeros everywhere else.
identity(int) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Creates an identity matrix of the specified size.

aij = 0 if i ≠ j
aij = 1 if i = j
identity(int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Creates a rectangular matrix which is zero except along the diagonals.
ImplCommonOps_DDMA - Class in org.ejml.dense.row.misc
Implementations of common ops routines for DMatrixRMaj.
ImplCommonOps_DDMA() - Constructor for class org.ejml.dense.row.misc.ImplCommonOps_DDMA
 
ImplCommonOps_DDRM - Class in org.ejml.dense.row.misc
Implementations of common ops routines for DMatrixRMaj.
ImplCommonOps_DDRM() - Constructor for class org.ejml.dense.row.misc.ImplCommonOps_DDRM
 
implicitDoubleStep(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
Performs an implicit double step using the values contained in the lower right hand side of the submatrix for the estimated eigenvector values.
improveSol(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
This attempts to improve upon the solution generated by account for numerical imprecisions.
incrementSteps() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
incrementSteps() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
incrementSteps() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
inducedP1(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the induced p = 1 matrix norm.

||A||1= max(j=1 to n; sum(i=1 to m; |aij|))
inducedP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the induced p = 2 matrix norm, which is the largest singular value.
inducedPInf(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Induced matrix p = infinity norm.

||A|| = max(i=1 to m; sum(j=1 to n; |aij|))
indx - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
init(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
Sets up internal data structures and creates a copy of the input matrix.
init(double[], double[], int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Sets up and declares internal data structures.
init(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
If needed declares and sets up internal data structures.
init(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
If needed declares and sets up internal data structures.
initializeQ(DMatrixRBlock, int, int, int, boolean) - Static method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
Sanity checks the input or declares a new matrix.
initializeW(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Sets W to its initial value using the first column of 'y' and the value of 'b':
W = -βv

where v = Y(:,0).
initParam(int, int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
inner_reorder(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM
 
inner_reorder_upper(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM
 
inner_small(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM
 
InnerCholesky_DDRB - Class in org.ejml.dense.block.decomposition.chol
Performs a cholesky decomposition on an individual inner block.
InnerCholesky_DDRB() - Constructor for class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB
 
InnerMultiplication_DDRB - Class in org.ejml.dense.block
Matrix multiplication for the inner row major blocks, typically inside of a DMatrixRBlock.
InnerMultiplication_DDRB() - Constructor for class org.ejml.dense.block.InnerMultiplication_DDRB
 
innerProd(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
Computes the inner product of the two vectors.
innerProdA(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
return = xT*A*y
innerProdCol(int, DSubmatrixD1, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes the inner product of column vector 'colA' against column vector 'colB' while taking account leading zeros and one.

ret = aT*b
innerProdRow(int, DSubmatrixD1, int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Computes the inner product of row vector 'rowA' against row vector 'rowB' while taking account leading zeros and one.

ret = aT*b
innerProdRowSymm(int, DSubmatrixD1, int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
 
innerProdTranA(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
xTATy
InnerRankUpdate_DDRB - Class in org.ejml.dense.block
Performs rank-n update operations on the inner blocks of a DMatrixRBlock It is assumed and not checked that the submatrices are aligned along the matrix's blocks.
InnerRankUpdate_DDRB() - Constructor for class org.ejml.dense.block.InnerRankUpdate_DDRB
 
InnerTriangularSolver_DDRB - Class in org.ejml.dense.block
Contains triangular solvers for inner blocks of a DMatrixRBlock.
InnerTriangularSolver_DDRB() - Constructor for class org.ejml.dense.block.InnerTriangularSolver_DDRB
 
inputModified() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB
 
inputModified() - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
inputModified() - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
The input matrix is always modified.
inputModified() - Method in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
inputModified() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
inputModified() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM
 
inputModified() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM
 
inputModified() - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM
 
insert(DMatrixRMaj, DMatrixRMaj, int[], int, int[], int) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Inserts into the specified elements of dst the source matrix.
insert(DMatrix, DMatrix, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Inserts matrix 'src' into matrix 'dest' with the (0,0) of src at (row,col) in dest.
insideSpan(DMatrixRMaj[], double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random vector that is inside the specified span.
internalSolver - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
inv(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
inv2(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
inv3(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
inv4(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
inv5(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
invert(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
 
invert(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
Invert by solving for against an identity matrix.
invert(int, boolean, DSubmatrixD1, DSubmatrixD1, double[]) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB
Inverts an upper or lower triangular block submatrix.
invert(int, boolean, DSubmatrixD1, double[]) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB
Inverts an upper or lower triangular block submatrix.
invert(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Inverts matrix 'a' using minor matrices and stores the results in 'inv'.
invert(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Inverts matrix 'a' using minor matrices and stores the results in 'inv'.
invert(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Inverts matrix 'a' using minor matrices and stores the results in 'inv'.
invert(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Inverts matrix 'a' using minor matrices and stores the results in 'inv'.
invert(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix.

a = a-1
invert(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
invert(DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM
Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
invert(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM
Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
invert(LinearSolverDense<DMatrixRMaj>, DMatrix1Row, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.linsol.InvertUsingSolve_DDRM
 
invert(LinearSolverDense<DMatrixRMaj>, DMatrix1Row, DMatrixRMaj) - Static method in class org.ejml.dense.row.linsol.InvertUsingSolve_DDRM
 
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
Creates a block matrix the same size as A_inv, inverts the matrix and copies the results back onto A_inv.
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
invertLower(double[], double[], int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Inverts a square lower triangular matrix: L = L-1
invertLower(double[], int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Inverts a square lower triangular matrix: L = L-1
invertLower(double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
Inverts a square lower triangular matrix: L = L-1
invertLower(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
 
InvertUsingSolve_DDRM - Class in org.ejml.dense.row.linsol
A matrix can be easily inverted by solving a system with an identify matrix.
InvertUsingSolve_DDRM() - Constructor for class org.ejml.dense.row.linsol.InvertUsingSolve_DDRM
 
isCompact() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
isCompact() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
isConstantVal(DMatrixRMaj, double, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if every value in the matrix is the specified value.
isDiagonalPositive(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if all the diagonal elements in the matrix are positive.
isDiagonalZero(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
isEquals(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
isEquals(DMatrixRBlock, DMatrixRBlock, double) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
isEquals(DMatrixD1, DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if each element in the two matrices are within tolerance of each other: tol ≥ |aij - bij|.
isEquals(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if each element in the two matrices are equal: aij == bij
isEquals(BMatrixRMaj, BMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if each element in the two matrices are equal: aij == bij
isEqualsTriangle(DMatrix, DMatrix, boolean, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if each element in the upper or lower triangular portion of the two matrices are within tolerance of each other: tol ≥ |aij - bij|.
isEquivalent(DMatrix, DMatrix, double) - Static method in class org.ejml.generic.GenericMatrixOps_F64
 
isEquivalentTriangle(boolean, DMatrix, DMatrix, double) - Static method in class org.ejml.generic.GenericMatrixOps_F64
 
isFullRank(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
 
isIdentical(DMatrix2x2, DMatrix2x2, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2
 
isIdentical(DMatrix2, DMatrix2, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2
 
isIdentical(DMatrix3x3, DMatrix3x3, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3
 
isIdentical(DMatrix3, DMatrix3, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3
 
isIdentical(DMatrix4x4, DMatrix4x4, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4
 
isIdentical(DMatrix4, DMatrix4, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4
 
isIdentical(DMatrix5x5, DMatrix5x5, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5
 
isIdentical(DMatrix5, DMatrix5, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5
 
isIdentical(DMatrix6x6, DMatrix6x6, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6
 
isIdentical(DMatrix6, DMatrix6, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6
 
isIdentical(DMatrixD1, DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if each corresponding element in the two matrices are within tolerance of each other or have the some symbolic meaning.
isIdentity(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the provided matrix is within tolerance to an identity matrix.
isIdentity(DMatrix, double) - Static method in class org.ejml.generic.GenericMatrixOps_F64
Returns true if the provided matrix is has a value of 1 along the diagonal elements and zero along all the other elements.
isInverse(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the two matrices are inverses of each other.
isLower() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB
 
isLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM
 
isLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
If true the decomposition was for a lower triangular matrix.
isLowerTriangle(DMatrixRMaj, int, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if a matrix is lower triangular or Hessenberg.
isNegative(DMatrixD1, DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the two matrices are the negative of each other:

aij = -bij
isOffZero(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
isOrthogonal(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if a matrix is orthogonal or isometric.
isPositiveDefinite(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the matrix is positive definite.
isPositiveSemidefinite(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the matrix is positive semidefinite:
isReal2x2(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
isRowsLinearIndependent(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the rows of the provided matrix are linearly independent.
isSingular() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
Determines if the decomposed matrix is singular.
isSkewSymmetric(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if a matrix is skew symmetric with in tolerance:

-A = AT
or
|aij + aji| ≤ tol
isSquare(DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if it is a square matrix.
isSymmetric(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Returns true if the matrix is symmetric within the tolerance.
isSymmetric(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Returns true if the matrix is perfectly symmetric.
isUpperTriangle(DMatrixRMaj, int, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if a matrix is upper triangular or Hessenberg.
isValid(DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM
Performs a variety of tests to see if the provided matrix is a valid covariance matrix.
isValidFast(DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM
This is a fairly light weight check to see of a covariance matrix is valid.
isVector(Matrix) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see if the matrix is a vector or not.
isZero(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Checks to see if the specified off diagonal element is zero using a relative metric.
isZero(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
isZeros(DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Checks to see all the elements in the matrix are zeros

K

kron(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
The Kronecker product of two matrices is defined as:
Cij = aijB
where Cij is a sub matrix inside of C ∈ ℜ m*k × n*l, A ∈ ℜ m × n, and B ∈ ℜ k × l.

L

lastExceptional - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
leastSquares(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.
leastSquaresQrPivot(boolean, boolean) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Linear solver which uses QR pivot decomposition.
linear(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a solver for linear systems.
LinearSolver_DDRB_to_DDRM - Class in org.ejml.dense.row.linsol
Wrapper that allows DMatrixRBlock to implements LinearSolverDense.
LinearSolver_DDRB_to_DDRM(LinearSolverDense<DMatrixRBlock>) - Constructor for class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
LinearSolverAbstract_DDRM - Class in org.ejml.dense.row.linsol
An abstract class that provides some common functionality and a default implementation of invert that uses the solve function of the child class.
LinearSolverAbstract_DDRM() - Constructor for class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
LinearSolverChol_DDRB - Class in org.ejml.dense.row.linsol.chol
A wrapper around CholeskyDecomposition_F64(DMatrixRBlock) that allows it to be easily used with DMatrixRMaj.
LinearSolverChol_DDRB() - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRB
 
LinearSolverChol_DDRM - Class in org.ejml.dense.row.linsol.chol
 
LinearSolverChol_DDRM(CholeskyDecompositionCommon_DDRM) - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
 
LinearSolverCholLDL_DDRM - Class in org.ejml.dense.row.linsol.chol
 
LinearSolverCholLDL_DDRM(CholeskyDecompositionLDL_DDRM) - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
LinearSolverCholLDL_DDRM() - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
LinearSolverFactory_DDRM - Class in org.ejml.dense.row.factory
A factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.
LinearSolverFactory_DDRM() - Constructor for class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
 
LinearSolverLu_DDRM - Class in org.ejml.dense.row.linsol.lu
For each column in the B matrix it makes a copy, which is then solved for and writen into X.
LinearSolverLu_DDRM(LUDecompositionBase_DDRM) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLu_DDRM
 
LinearSolverLu_DDRM(LUDecompositionBase_DDRM, boolean) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLu_DDRM
 
LinearSolverLuBase_DDRM - Class in org.ejml.dense.row.linsol.lu
 
LinearSolverLuBase_DDRM(LUDecompositionBase_DDRM) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
LinearSolverLuKJI_DDRM - Class in org.ejml.dense.row.linsol.lu
To avoid cpu cache issues the order in which the arrays are traversed have been changed.
LinearSolverLuKJI_DDRM(LUDecompositionBase_DDRM) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM
 
LinearSolverQr_DDRM - Class in org.ejml.dense.row.linsol.qr
A solver for a generic QR decomposition algorithm.
LinearSolverQr_DDRM(QRDecomposition<DMatrixRMaj>) - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
Creates a linear solver that uses QR decomposition.
LinearSolverQrBlock64_DDRM - Class in org.ejml.dense.row.linsol.qr
Wrapper around QrHouseHolderSolver_DDRB that allows it to process DMatrixRMaj.
LinearSolverQrBlock64_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrBlock64_DDRM
 
LinearSolverQrHouse_DDRM - Class in org.ejml.dense.row.linsol.qr
QR decomposition can be used to solve for systems.
LinearSolverQrHouse_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
Creates a linear solver that uses QR decomposition.
LinearSolverQrHouseCol_DDRM - Class in org.ejml.dense.row.linsol.qr
QR decomposition can be used to solve for systems.
LinearSolverQrHouseCol_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
Creates a linear solver that uses QR decomposition.
LinearSolverQrHouseTran_DDRM - Class in org.ejml.dense.row.linsol.qr
QR decomposition can be used to solve for systems.
LinearSolverQrHouseTran_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
Creates a linear solver that uses QR decomposition.
LinearSolverQrpHouseCol_DDRM - Class in org.ejml.dense.row.linsol.qr
Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn_DDRM decomposition directly.
LinearSolverQrpHouseCol_DDRM(QRColPivDecompositionHouseholderColumn_DDRM, boolean) - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM
 
LinearSolverUnrolled_DDRM - Class in org.ejml.dense.row.linsol
Solver which uses an unrolled inverse to compute the inverse.
LinearSolverUnrolled_DDRM() - Constructor for class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
lower(DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB
 
lower(double[], int, int) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB
Performs an inline lower Cholesky decomposition on an inner row-major matrix.
lower - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
LU - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
lu(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns a LUDecomposition that has been optimized for the specified matrix size.
lu(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a linear solver using LU decomposition
LUDecompositionAlt_DDRM - Class in org.ejml.dense.row.decomposition.lu
An LU decomposition algorithm that originally came from Jama.
LUDecompositionAlt_DDRM() - Constructor for class org.ejml.dense.row.decomposition.lu.LUDecompositionAlt_DDRM
 
LUDecompositionBase_DDRM - Class in org.ejml.dense.row.decomposition.lu
Contains common data structures and operations for LU decomposition algorithms.
LUDecompositionBase_DDRM() - Constructor for class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 

M

m - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
MatrixFeatures_DDF2 - Class in org.ejml.dense.fixed
Matrix features for fixed sized matrices which are 2 x 2 or 2 element vectors.
MatrixFeatures_DDF2() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF2
 
MatrixFeatures_DDF3 - Class in org.ejml.dense.fixed
Matrix features for fixed sized matrices which are 3 x 3 or 3 element vectors.
MatrixFeatures_DDF3() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF3
 
MatrixFeatures_DDF4 - Class in org.ejml.dense.fixed
Matrix features for fixed sized matrices which are 4 x 4 or 4 element vectors.
MatrixFeatures_DDF4() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF4
 
MatrixFeatures_DDF5 - Class in org.ejml.dense.fixed
Matrix features for fixed sized matrices which are 5 x 5 or 5 element vectors.
MatrixFeatures_DDF5() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF5
 
MatrixFeatures_DDF6 - Class in org.ejml.dense.fixed
Matrix features for fixed sized matrices which are 6 x 6 or 6 element vectors.
MatrixFeatures_DDF6() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF6
 
MatrixFeatures_DDRM - Class in org.ejml.dense.row
Used to compute features that describe the structure of a matrix.
MatrixFeatures_DDRM() - Constructor for class org.ejml.dense.row.MatrixFeatures_DDRM
 
MatrixMatrixMult_DDRM - Class in org.ejml.dense.row.mult
This class contains various types of matrix matrix multiplication operations for DMatrix1Row.
MatrixMatrixMult_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
MatrixMult_DDRB - Class in org.ejml.dense.block
Matrix multiplication for DMatrixRBlock.
MatrixMult_DDRB() - Constructor for class org.ejml.dense.block.MatrixMult_DDRB
 
MatrixMultProduct_DDRM - Class in org.ejml.dense.row.mult
Specialized operations for performing inner and outer products for matrices.
MatrixMultProduct_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixMultProduct_DDRM
 
MatrixOps_DDRB - Class in org.ejml.dense.block
Various operations on DMatrixRBlock.
MatrixOps_DDRB() - Constructor for class org.ejml.dense.block.MatrixOps_DDRB
 
MatrixVectorMult_DDRM - Class in org.ejml.dense.row.mult
This class contains various types of matrix vector multiplcation operations for DMatrixRMaj.
MatrixVectorMult_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
 
MAX - Static variable in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
MAX - Static variable in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
maxCols(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Finds the element with the minimum value along column in the input matrix and returns the results in a vector:

bj = min(i=1:m ; aij)
maxCols - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
maxCols - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
maxCols - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
maxRows(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Finds the element with the maximum value along each row in the input matrix and returns the results in a vector:

bj = max(i=1:n ; aji)
maxRows - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
maxRows - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
maxRows - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
maxValue - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
maxWidth - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
maxWidth - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
minCols(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Finds the element with the minimum value along column in the input matrix and returns the results in a vector:

bj = min(i=1:m ; aij)
minLength - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
minLength - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
minLength - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
minRows(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Finds the element with the minimum value along each row in the input matrix and returns the results in a vector:

bj = min(i=1:n ; aji)
modifiesA() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
 
modifiesA() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
modifiesA() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM
 
modifiesA() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
modifiesB() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
 
modifiesB() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
modifiesB() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM
 
modifiesB() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
mult(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
Performs a matrix multiplication on DMatrixRBlock submatrices.

c = a * b

mult(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
mult(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = a * b

cij = ∑k=1:n { aik * bkj}
mult(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = α * a * b

cij = α ∑k=1:n { aik * bkj}
mult(DMatrix2x2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs matrix to vector multiplication:

c = a * b

ci = ∑k=1:n { aik * bk}
mult(DMatrix2, DMatrix2x2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs vector to matrix multiplication:

c = a * b

cj = ∑k=1:n { bk * akj }
mult(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = a * b

cij = ∑k=1:n { aik * bkj}
mult(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = α * a * b

cij = α ∑k=1:n { aik * bkj}
mult(DMatrix3x3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs matrix to vector multiplication:

c = a * b

ci = ∑k=1:n { aik * bk}
mult(DMatrix3, DMatrix3x3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs vector to matrix multiplication:

c = a * b

cj = ∑k=1:n { bk * akj }
mult(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = a * b

cij = ∑k=1:n { aik * bkj}
mult(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = α * a * b

cij = α ∑k=1:n { aik * bkj}
mult(DMatrix4x4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs matrix to vector multiplication:

c = a * b

ci = ∑k=1:n { aik * bk}
mult(DMatrix4, DMatrix4x4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs vector to matrix multiplication:

c = a * b

cj = ∑k=1:n { bk * akj }
mult(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = a * b

cij = ∑k=1:n { aik * bkj}
mult(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = α * a * b

cij = α ∑k=1:n { aik * bkj}
mult(DMatrix5x5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs matrix to vector multiplication:

c = a * b

ci = ∑k=1:n { aik * bk}
mult(DMatrix5, DMatrix5x5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs vector to matrix multiplication:

c = a * b

cj = ∑k=1:n { bk * akj }
mult(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = a * b

cij = ∑k=1:n { aik * bkj}
mult(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = α * a * b

cij = α ∑k=1:n { aik * bkj}
mult(DMatrix6x6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs matrix to vector multiplication:

c = a * b

ci = ∑k=1:n { aik * bk}
mult(DMatrix6, DMatrix6x6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs vector to matrix multiplication:

c = a * b

cj = ∑k=1:n { bk * akj }
mult(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = a * b

cij = ∑k=1:n { aik * bkj}
mult(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = α * a * b

cij = α ∑k=1:n { * aik * bkj}
mult(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
Performs a matrix vector multiply.

c = A * b
and
c = A * bT

ci = Sum{ j=1:n, aij * bj}

where A is a matrix, b is a column or transposed row vector, and c is a column vector.
mult_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
mult_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
mult_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
mult_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
mult_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
mult_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multA_u(int, DSubmatrixD1, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Multiples the appropriate submatrix of A by the specified reflector and stores the result ('y') in V.

y = A*u
multAdd(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += a * b

cij += ∑k=1:n { aik * bkj}
multAdd(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += α * a * b

cij += α ∑k=1:n { aik * bkj}
multAdd(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += a * b

cij += ∑k=1:n { aik * bkj}
multAdd(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += α * a * b

cij += α ∑k=1:n { aik * bkj}
multAdd(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += a * b

cij += ∑k=1:n { aik * bkj}
multAdd(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += α * a * b

cij += α ∑k=1:n { aik * bkj}
multAdd(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += a * b

cij += ∑k=1:n { aik * bkj}
multAdd(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += α * a * b

cij += α ∑k=1:n { aik * bkj}
multAdd(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += a * b

cij += ∑k=1:n { aik * bkj}
multAdd(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += α * a * b

cij += α ∑k=1:n { aik * bkj}
multAdd(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + a * b
cij = cij + ∑k=1:n { aik * bkj}
multAdd(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + α * a * b
cij = cij + α * ∑k=1:n { aik * bkj}
multAdd(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
Performs a matrix vector multiply.

C = C + A * B
or
C = C + A * BT

ci = Sum{ j=1:n, ci + aij * bj}

where A is a matrix, B is a column or transposed row vector, and C is a column vector.
multAdd_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAdd_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAdd_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAdd_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAdd_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAdd_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAdd_zeros(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Special multiplication that takes in account the zeros and one in Y, which is the matrix that stores the householder vectors.
multAddTransA(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += aT * b

cij += ∑k=1:n { aki * bkj}
multAddTransA(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += α * aT * b

cij += α * ∑k=1:n { aki * bkj}
multAddTransA(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += aT * b

cij += ∑k=1:n { aki * bkj}
multAddTransA(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += α * aT * b

cij += α * ∑k=1:n { aki * bkj}
multAddTransA(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += aT * b

cij += ∑k=1:n { aki * bkj}
multAddTransA(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += α * aT * b

cij += α * ∑k=1:n { aki * bkj}
multAddTransA(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += aT * b

cij += ∑k=1:n { aki * bkj}
multAddTransA(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += α * aT * b

cij += α * ∑k=1:n { aki * bkj}
multAddTransA(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += aT * b

cij += ∑k=1:n { aki * bkj}
multAddTransA(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += α * aT * b

cij += α * ∑k=1:n { aki * bkj}
multAddTransA(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + aT * b
cij = cij + ∑k=1:n { aki * bkj}
multAddTransA(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + α * aT * b
cij =cij + α * ∑k=1:n { aki * bkj}
multAddTransA_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransA_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransA_reorder(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
multAddTransA_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransA_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransA_small(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
Performs a matrix vector multiply.

C = C + AT * B
or
C = CT + AT * BT

ci = Sum{ j=1:n, ci + aji * bj}

where A is a matrix, B is a column or transposed row vector, and C is a column vector.
multAddTransAB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += aT * bT
cij += ∑k=1:n { aki * bjk}
multAddTransAB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}
multAddTransAB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += aT * bT
cij += ∑k=1:n { aki * bjk}
multAddTransAB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}
multAddTransAB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += aT * bT
cij += ∑k=1:n { aki * bjk}
multAddTransAB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}
multAddTransAB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += aT * bT
cij += ∑k=1:n { aki * bjk}
multAddTransAB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}
multAddTransAB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += aT * bT
cij += ∑k=1:n { aki * bjk}
multAddTransAB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}
multAddTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + aT * bT
cij = cij + ∑k=1:n { aki * bjk}
multAddTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + α * aT * bT
cij = cij + α * ∑k=1:n { aki * bjk}
multAddTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransAB_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransAB_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += a * bT
cij += ∑k=1:n { aik * bjk}
multAddTransB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c += α * a * bT
cij += α*∑k=1:n { aik * bjk}
multAddTransB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += a * bT
cij += ∑k=1:n { aik * bjk}
multAddTransB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c += α * a * bT
cij += α*∑k=1:n { aik * bjk}
multAddTransB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += a * bT
cij += ∑k=1:n { aik * bjk}
multAddTransB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c += α * a * bT
cij += α*∑k=1:n { aik * bjk}
multAddTransB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += a * bT
cij += ∑k=1:n { aik * bjk}
multAddTransB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c += α * a * bT
cij += α*∑k=1:n { aik * bjk}
multAddTransB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += a * bT
cij += ∑k=1:n { aik * bjk}
multAddTransB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c += α * a * bT
cij += α*∑k=1:n { aik * bjk}
multAddTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + a * bT
cij = cij + ∑k=1:n { aik * bjk}
multAddTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = c + α * a * bT
cij = cij + α * ∑k=1:n { aik * bjk}
multAddTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multAddTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multBlockAdd_zerosone(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Inner block mult add operation that takes in account the zeros and on in dataA, which is the top part of the Y block vector that has the householder vectors.

C = C + A * B
multInner(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the matrix multiplication inner product:

c = aT * a

cij = ∑k=1:n { aki * akj}
multMinus(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
Performs a matrix multiplication on DMatrixRBlock submatrices.

c = c - a * b

multMinusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
 
multOuter(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the matrix multiplication outer product:

c = a * aT

cij = ∑k=1:m { aik * ajk}
multPlus(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
Performs a matrix multiplication on DMatrixRBlock submatrices.

c = c + a * b

multPlusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
C = C + A^T*B
multPlusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
 
multTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
Performs a matrix multiplication with a transpose on DMatrixRBlock submatrices.

c = aT * b

multTransA(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
multTransA(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = aT * b

cij = ∑k=1:n { aki * bkj}
multTransA(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = α * aT * b

cij = α * ∑k=1:n { aki * bkj}
multTransA(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = aT * b

cij = ∑k=1:n { aki * bkj}
multTransA(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = α * aT * b

cij = α * ∑k=1:n { aki * bkj}
multTransA(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = aT * b

cij = ∑k=1:n { aki * bkj}
multTransA(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = α * aT * b

cij = α * ∑k=1:n { aki * bkj}
multTransA(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = aT * b

cij = ∑k=1:n { aki * bkj}
multTransA(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = α * aT * b

cij = α * ∑k=1:n { aki * bkj}
multTransA(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = aT * b

cij = ∑k=1:n { aki * bkj}
multTransA(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = α * aT * b

cij = α * ∑k=1:n { aki * bkj}
multTransA(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = aT * b

cij = ∑k=1:n { aki * bkj}
multTransA(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = α * aT * b

cij = α ∑k=1:n { aki * bkj}
multTransA_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransA_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransA_reorder(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
multTransA_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransA_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransA_small(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM
Performs a matrix vector multiply.

C = AT * B
where B is a column vector.
or
C = AT * BT
where B is a row vector.
multTransA_vecCol(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Performs a matrix multiplication on the block aligned submatrices.
multTransAB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = aT * bT
cij = ∑k=1:n { aki * bjk}
multTransAB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}
multTransAB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = aT * bT
cij = ∑k=1:n { aki * bjk}
multTransAB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}
multTransAB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = aT * bT
cij = ∑k=1:n { aki * bjk}
multTransAB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}
multTransAB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = aT * bT
cij = ∑k=1:n { aki * bjk}
multTransAB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}
multTransAB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = aT * bT
cij = ∑k=1:n { aki * bjk}
multTransAB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}
multTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = aT * bT
cij = ∑k=1:n { aki * bjk}
multTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = α * aT * bT
cij = α ∑k=1:n { aki * bjk}
multTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransAB_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransAB_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransABlockMinus(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Performs the following operation on a block:

c = c - aTa
multTransABlockMinus_U(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Performs the following operation on the upper triangular portion of a block:

c = c - aTa
multTransABlockSet_lowerTriag(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Performs a matrix multiplication on an single inner block where A is assumed to be lower triangular with diagonal elements equal to 1.

C = A^T * B
multTransB(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB
Performs a matrix multiplication with a transpose on DMatrixRBlock submatrices.

c = a * b T

multTransB(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
 
multTransB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = a * bT
cij = ∑k=1:n { aik * bjk}
multTransB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = α * a * bT
cij = α*∑k=1:n { aik * bjk}
multTransB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = a * bT
cij = ∑k=1:n { aik * bjk}
multTransB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = α * a * bT
cij = α*∑k=1:n { aik * bjk}
multTransB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = a * bT
cij = ∑k=1:n { aik * bjk}
multTransB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = α * a * bT
cij = α*∑k=1:n { aik * bjk}
multTransB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = a * bT
cij = ∑k=1:n { aik * bjk}
multTransB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = α * a * bT
cij = α*∑k=1:n { aik * bjk}
multTransB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = a * bT
cij = ∑k=1:n { aik * bjk}
multTransB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = α * a * bT
cij = α*∑k=1:n { aik * bjk}
multTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = a * bT
cij = ∑k=1:n { aik * bjk}
multTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following operation:

c = α * a * bT
cij = α ∑k=1:n { aik * bjk}
multTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM
 
multTransBBlockMinus(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Performs the following operation on a block:

c = c - a*aT
multTransBBlockMinus_L(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Performs the following operation on the lower triangular portion of a block:

c = c - a*aT

N

n - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
N - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
n - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
N - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
next(DMatrixRMaj) - Method in class org.ejml.dense.row.CovarianceRandomDraw_DDRM
Makes a draw on the distribution.
nextExceptional - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
nextSplit() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Tells it to process the submatrix at the next split.
nextSplit() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Tells it to process the submatrix at the next split.
norm2Solution - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
normalizeF(DMatrix2x2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2
 
normalizeF(DMatrix2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2
 
normalizeF(DMatrix3x3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3
 
normalizeF(DMatrix3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3
 
normalizeF(DMatrix4x4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4
 
normalizeF(DMatrix4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4
 
normalizeF(DMatrix5x5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5
 
normalizeF(DMatrix5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5
 
normalizeF(DMatrix6x6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6
 
normalizeF(DMatrix6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6
 
normalizeF(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Normalizes the matrix such that the Frobenius norm is equal to one.
normF(DMatrix2x2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2
 
normF(DMatrix2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2
 
normF(DMatrix3x3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3
 
normF(DMatrix3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3
 
normF(DMatrix4x4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4
 
normF(DMatrix4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4
 
normF(DMatrix5x5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5
 
normF(DMatrix5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5
 
normF(DMatrix6x6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6
 
normF(DMatrix6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6
 
normF(DMatrixD1) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the Frobenius matrix norm:

normF = Sqrt{ ∑i=1:mj=1:n { aij2} }
NormOps_DDF2 - Class in org.ejml.dense.fixed
Matrix norm related operations for fixed sized matrices of size 2.
NormOps_DDF2() - Constructor for class org.ejml.dense.fixed.NormOps_DDF2
 
NormOps_DDF3 - Class in org.ejml.dense.fixed
Matrix norm related operations for fixed sized matrices of size 3.
NormOps_DDF3() - Constructor for class org.ejml.dense.fixed.NormOps_DDF3
 
NormOps_DDF4 - Class in org.ejml.dense.fixed
Matrix norm related operations for fixed sized matrices of size 4.
NormOps_DDF4() - Constructor for class org.ejml.dense.fixed.NormOps_DDF4
 
NormOps_DDF5 - Class in org.ejml.dense.fixed
Matrix norm related operations for fixed sized matrices of size 5.
NormOps_DDF5() - Constructor for class org.ejml.dense.fixed.NormOps_DDF5
 
NormOps_DDF6 - Class in org.ejml.dense.fixed
Matrix norm related operations for fixed sized matrices of size 6.
NormOps_DDF6() - Constructor for class org.ejml.dense.fixed.NormOps_DDF6
 
NormOps_DDRM - Class in org.ejml.dense.row
Norms are a measure of the size of a vector or a matrix.
NormOps_DDRM() - Constructor for class org.ejml.dense.row.NormOps_DDRM
 
normP(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes either the vector p-norm or the induced matrix p-norm depending on A being a vector or a matrix respectively.
normP1(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the p=1 norm.
normP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the p=2 norm.
normPInf(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM
Computes the p=∞ norm.
normsCol - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
nullity(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Computes the nullity of a matrix using the default tolerance.
nullity(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Computes the nullity of a matrix using the specified tolerance.
nullity(SingularValueDecomposition_F64) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Extracts the nullity of a matrix using a preexisting decomposition and default threshold.
nullity(SingularValueDecomposition_F64, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Extracts the nullity of a matrix using a preexisting decomposition.
nullSpace(SingularValueDecomposition_F64<DMatrixRMaj>, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Returns the null-space from the singular value decomposition.
nullspaceQR(DMatrixRMaj, int) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Computes the null space using QR decomposition.
nullspaceQRP(DMatrixRMaj, int) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Computes the null space using QRP decomposition.
nullspaceSVD(DMatrixRMaj, int) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Computes the null space using SVD.
nullVector(SingularValueDecomposition_F64<DMatrixRMaj>, boolean, DMatrixRMaj) - Static method in class org.ejml.dense.row.SingularOps_DDRM
The vector associated will the smallest singular value is returned as the null space of the decomposed system.
numberOfSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
numberOfSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
numCols - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
numCols - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
numCols - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
numCols() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
numCols() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
numCols - Variable in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
numExceptional - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
numExceptional - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
numRows - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
numRows - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
numRows - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
numRows() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
numRows() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
 
numRows - Variable in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
numSplits - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
numSplits - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 

O

off - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
off - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
org.ejml.dense.block - package org.ejml.dense.block
 
org.ejml.dense.block.decomposition.bidiagonal - package org.ejml.dense.block.decomposition.bidiagonal
 
org.ejml.dense.block.decomposition.chol - package org.ejml.dense.block.decomposition.chol
 
org.ejml.dense.block.decomposition.hessenberg - package org.ejml.dense.block.decomposition.hessenberg
 
org.ejml.dense.block.decomposition.qr - package org.ejml.dense.block.decomposition.qr
 
org.ejml.dense.block.linsol.chol - package org.ejml.dense.block.linsol.chol
 
org.ejml.dense.block.linsol.qr - package org.ejml.dense.block.linsol.qr
 
org.ejml.dense.fixed - package org.ejml.dense.fixed
 
org.ejml.dense.row - package org.ejml.dense.row
 
org.ejml.dense.row.decomposition - package org.ejml.dense.row.decomposition
 
org.ejml.dense.row.decomposition.bidiagonal - package org.ejml.dense.row.decomposition.bidiagonal
 
org.ejml.dense.row.decomposition.chol - package org.ejml.dense.row.decomposition.chol
 
org.ejml.dense.row.decomposition.eig - package org.ejml.dense.row.decomposition.eig
 
org.ejml.dense.row.decomposition.eig.symm - package org.ejml.dense.row.decomposition.eig.symm
 
org.ejml.dense.row.decomposition.eig.watched - package org.ejml.dense.row.decomposition.eig.watched
 
org.ejml.dense.row.decomposition.hessenberg - package org.ejml.dense.row.decomposition.hessenberg
 
org.ejml.dense.row.decomposition.lu - package org.ejml.dense.row.decomposition.lu
 
org.ejml.dense.row.decomposition.qr - package org.ejml.dense.row.decomposition.qr
 
org.ejml.dense.row.decomposition.svd - package org.ejml.dense.row.decomposition.svd
 
org.ejml.dense.row.decomposition.svd.implicitqr - package org.ejml.dense.row.decomposition.svd.implicitqr
 
org.ejml.dense.row.factory - package org.ejml.dense.row.factory
 
org.ejml.dense.row.linsol - package org.ejml.dense.row.linsol
 
org.ejml.dense.row.linsol.chol - package org.ejml.dense.row.linsol.chol
 
org.ejml.dense.row.linsol.lu - package org.ejml.dense.row.linsol.lu
 
org.ejml.dense.row.linsol.qr - package org.ejml.dense.row.linsol.qr
 
org.ejml.dense.row.linsol.svd - package org.ejml.dense.row.linsol.svd
 
org.ejml.dense.row.misc - package org.ejml.dense.row.misc
 
org.ejml.dense.row.mult - package org.ejml.dense.row.mult
 
org.ejml.generic - package org.ejml.generic
 
orthogonal(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random orthogonal or isometric matrix, depending on the number of rows and columns.
outer(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM
 
outerProd(DMatrixD1, DMatrixD1, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
Sets A ∈ ℜ m × n equal to an outer product multiplication of the two vectors.

P

paint(Graphics) - Method in class org.ejml.dense.row.DMatrixComponent
 
performImplicitDoubleStep(int, int, double, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
Performs an implicit double step given the set of two imaginary eigenvalues provided.
performImplicitSingleStep(double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
performImplicitSingleStep(int, int, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
performImplicitSingleStep(double, double, boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Given the lambda value perform an implicit QR step on the matrix.
performStep() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
First looks for zeros and then performs the implicit single step in the QR Algorithm.
permuteRowInv(int[], DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.
pinv(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the Moore-Penrose pseudo-inverse:

pinv(A) = (ATA)-1 AT
or
pinv(A) = AT(AAT)-1
pivot - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
pivotMatrix(DMatrixRMaj, int[], int, boolean) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Creates a pivot matrix that exchanges the rows in a matrix:
A' = P*A
pivots - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
pivsign - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
printMatrix() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
printMatrix() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
printSteps() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
process(DMatrixRMaj) - Method in interface org.ejml.dense.row.decomposition.eig.EigenvalueExtractor_DDRM
 
process(int, double[], double[], double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
Computes the eigenvalue of the provided tridiagonal matrix.
process(int, double[], double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
 
process(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM
 
process(WatchedDoubleStepQREigen_DDRM, DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 
process() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
process(double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Perform a sequence of steps based off of the singular values provided.
process(DMatrixRMaj, int, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM
Finds the null space of A
process(DMatrixRMaj, int, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM
Finds the null space of A
process(DMatrixRMaj, int, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM
 
pseudoInverse(boolean) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Returns a solver which uses the pseudo inverse.

Q

Q - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
Q - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
Q - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
QR - Variable in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
QR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
Where the Q and R matrices are stored.
QR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
Where the Q and R matrices are stored.
qr(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns a QRDecomposition that has been optimized for the specified matrix size.
qr(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a linear solver using QR decomposition
QRColPivDecompositionHouseholderColumn_DDRM - Class in org.ejml.dense.row.decomposition.qr
Performs QR decomposition with column pivoting.
QRColPivDecompositionHouseholderColumn_DDRM(double) - Constructor for class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
Configure parameters.
QRColPivDecompositionHouseholderColumn_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
QRDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition.qr
Wrapper that allows QRDecomposition(DMatrixRBlock) to be used as a QRDecomposition(DMatrixRMaj).
QRDecomposition_DDRB_to_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecomposition_DDRB_to_DDRM
 
QRDecompositionHouseholder_DDRB - Class in org.ejml.dense.block.decomposition.qr
QR decomposition for DMatrixRBlock using householder reflectors.
QRDecompositionHouseholder_DDRB() - Constructor for class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
 
QRDecompositionHouseholder_DDRM - Class in org.ejml.dense.row.decomposition.qr
This variation of QR decomposition uses reflections to compute the Q matrix.
QRDecompositionHouseholder_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
QRDecompositionHouseholderColumn_DDRM - Class in org.ejml.dense.row.decomposition.qr
Householder QR decomposition is rich in operations along the columns of the matrix.
QRDecompositionHouseholderColumn_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
QRDecompositionHouseholderTran_DDRM - Class in org.ejml.dense.row.decomposition.qr
Householder QR decomposition is rich in operations along the columns of the matrix.
QRDecompositionHouseholderTran_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
QrHelperFunctions_DDRM - Class in org.ejml.dense.row.decomposition.qr
Contains different functions that are useful for computing the QR decomposition of a matrix.
QrHelperFunctions_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
QrHouseHolderSolver_DDRB - Class in org.ejml.dense.block.linsol.qr
QrHouseHolderSolver_DDRB() - Constructor for class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
qrp(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns a QRPDecomposition_F64 that has been optimized for the specified matrix size.
qrp(boolean, boolean) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a linear solver using QRP decomposition
QrUpdate_DDRM - Class in org.ejml.dense.row.decomposition.qr
The effects of adding and removing rows from the A matrix in a QR decomposition can be computed much faster than simply recomputing the whole decomposition.
QrUpdate_DDRM(int, int) - Constructor for class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
Creates an update which can decompose matrices up to the specified size.
QrUpdate_DDRM(int, int, boolean) - Constructor for class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
Creates an update which can decompose matrices up to the specified size.
QrUpdate_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM
Does not predeclare data and it will autogrow.
quality() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
 
quality() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
Computes the quality using diagonal elements the triangular R matrix in the QR decomposition.
quality() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
quality(DMatrixRMaj, SingularValueDecomposition<DMatrixRMaj>) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Computes a metric which measures the the quality of a singular value decomposition.
quality(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
 
quality(DMatrixRMaj, EigenDecomposition_F64<DMatrixRMaj>) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Computes a metric which measures the the quality of an eigen value decomposition.
quality() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
quality() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
qualityTriangular(DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Computes the quality of a triangular matrix, where the quality of a matrix is defined in LinearSolver.quality().

R

R - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
R - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
 
R11 - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
rand - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
rand - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
randomBinary(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Returns new boolean matrix with true or false values selected with equal probability.
RandomMatrices_DDRM - Class in org.ejml.dense.row
Contains a list of functions for creating random row real matrices and vectors with different structures.
RandomMatrices_DDRM() - Constructor for class org.ejml.dense.row.RandomMatrices_DDRM
 
randomVector(DMatrixRMaj, DMatrixRMaj, Random) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM
Sets vector to a random value based upon a zero-mean multivariate Gaussian distribution with covariance 'cov'.
rank - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
rank - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
rank(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Computes the rank of a matrix using a default tolerance.
rank(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM
Computes the rank of a matrix using the specified tolerance.
rank(SingularValueDecomposition_F64) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Extracts the rank of a matrix using a preexisting decomposition and default threshold.
rank(SingularValueDecomposition_F64, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Extracts the rank of a matrix using a preexisting decomposition.
rank1Update(double, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
Performs a rank one update on matrix A using vectors u and w.
rank1Update(double, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM
Performs a rank one update on matrix A using vectors u and w.
rank1UpdateMultL(DMatrixRMaj, double[], double, int, int, int) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
Performs a rank-1 update operation on the submatrix specified by w with the multiply on the left.

A = A(I - γ*u*uT)
rank1UpdateMultL_LeftCol(int, DSubmatrixD1, int, double, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Applies a householder reflector stored in row 'row' to the left column block.
rank1UpdateMultL_Row(int, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Applies a householder reflector stored in row 'row' to the remainder of the row in the block after it.
rank1UpdateMultR(DMatrixRMaj, double[], double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right.

A = (I - γ*u*uT)*A
rank1UpdateMultR(DMatrixRMaj, double[], int, double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM
 
rank1UpdateMultR_Col(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Applies a householder reflector stored in column 'col' to the remainder of the columns in the block after it.
rank1UpdateMultR_TopRow(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Applies a householder reflector stored in column 'col' to the top block row (excluding the first column) of A.
rankNUpdate(int, double, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Performs:

A = A + α B TB
rectangle(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Returns a matrix where all the elements are selected independently from a uniform distribution between 0 and 1 inclusive.
rectangle(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.
rectangleGaussian(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation
reduce(DMatrixRMaj, int) - Method in class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM
 
removeBulge(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
removeBulgeEnd(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Rotator to remove the bulge
removeBulgeLeft(int, boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
removeBulgeRight(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
removeRowFromA(int) - Method in interface org.ejml.dense.row.linsol.AdjustableLinearSolver_DDRM
Removes a row from A.
removeRowFromA(int) - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM
 
renderMatrix(DMatrixD1, BufferedImage, double) - Static method in class org.ejml.dense.row.DMatrixComponent
 
reset(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Sets the size of the matrix being decomposed, declares new memory if needed, and sets all helper functions to their initial value.
resetSteps() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
resetSteps() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
rowsToVector(DMatrixRMaj, DMatrixRMaj[]) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Converts the rows in a matrix into a set of vectors.
rref(DMatrixRMaj, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.
RrefGaussJordanRowPivot_DDRM - Class in org.ejml.dense.row.misc
Reduction to RREF using Gauss-Jordan elimination with row (partial) pivots.
RrefGaussJordanRowPivot_DDRM() - Constructor for class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM
 

S

SafeSvd_DDRM - Class in org.ejml.dense.row.decomposition.svd
Wraps around a SingularValueDecomposition and ensures that the input is not modified.
SafeSvd_DDRM(SingularValueDecomposition_F64<DMatrixRMaj>) - Constructor for class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM
 
scale(double, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element scalar multiplication.

bij = α*aij
scale(double, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an element by element scalar multiplication.

bi = α*ai
scale(double, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element scalar multiplication.

bij = α*aij
scale(double, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an element by element scalar multiplication.

bi = α*ai
scale(double, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element scalar multiplication.

bij = α*aij
scale(double, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an element by element scalar multiplication.

bi = α*ai
scale(double, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element scalar multiplication.

bij = α*aij
scale(double, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an element by element scalar multiplication.

bi = α*ai
scale(double, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element scalar multiplication.

bij = α*aij
scale(double, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an element by element scalar multiplication.

bi = α*ai
scale(double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an in-place element by element scalar multiplication.

aij = α*aij
scale(double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an element by element scalar multiplication.

bij = α*aij
scale_row(int, DSubmatrixD1, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB
Scales the elements in the specified row starting at element colStart by 'val'.
W = val*Y Takes in account zeros and leading one automatically.
scale_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB
Row vector scale:
scale: bi = α*ai
where 'a' and 'b' are row vectors within the row block vector A and B.
selectWilkinsonShift(double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Selects the Wilkinson's shift for BTB.
set(DMatrixRBlock, double) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Sets every element in the matrix to the specified value.

aij = value
setA(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
Decomposes and overwrites the input matrix.
setA(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
Computes the QR decomposition of A and store the results in A.
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
Converts 'A' into a block matrix and call setA() on the block matrix solver.
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
Performs QR decomposition on A
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
Performs QR decomposition on A
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
Performs QR decomposition on A
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
Performs QR decomposition on A
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM
 
setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
setChecks(boolean, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
setComputeVectorsWithValues(boolean) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM
Declares additional internal data structures.
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
setFastEigenvalues(boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
 
setFastValues(boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
setIdentity(DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Sets the value of A to all zeros except along the diagonal.
setIdentity(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Sets all the diagonal elements equal to one and everything else equal to zero.
setIdentity(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Sets all the diagonal elements equal to one and everything else equal to zero.
setIdentity(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Sets all the diagonal elements equal to one and everything else equal to zero.
setIdentity(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Sets all the diagonal elements equal to one and everything else equal to zero.
setIdentity(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Sets all the diagonal elements equal to one and everything else equal to zero.
setIdentity(DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Sets all the diagonal elements equal to one and everything else equal to zero.
setMatrix(int, int, double[], double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
setMatrix(DMatrixD1) - Method in class org.ejml.dense.row.DMatrixComponent
 
setMaxIterations(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
 
setMaxIterations(int) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
Used to limit the number of internal QR iterations that the QR algorithm performs.
setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM
 
setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
Changes the size of the matrix it can solve for
setMaxSize(int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
 
setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
 
setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
 
setMaxValue(double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
setOptions(int, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
 
setQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
 
setQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
setQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
setRandom(DMatrix, double, double, Random) - Static method in class org.ejml.generic.GenericMatrixOps_F64
 
setRandomB(BMatrixRMaj, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Sets each element in the boolean matrix to true or false with equal probability
setSaveW(boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
Sets if it should internally save the W matrix before performing the decomposition.
setSeed(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM
Sets the value of the vector to use in the start of the iterations.
setSingularThreshold(double) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
setSubmatrix(int, int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Sets which submatrix is being processed.
setSubmatrix(int, int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
setSubMatrix(DMatrix1Row, DMatrix1Row, int, int, int, int, int, int) - Static method in class org.ejml.dense.row.mult.SubmatrixOps_DDRM
 
setThreshold(double) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
Specify the relative threshold used to select singular values.
setToInverseL(double[]) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
Sets the matrix to the inverse using a lower triangular matrix.
setTolerance(double) - Method in class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM
 
setup(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
setup(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM
 
setupPivotInfo() - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
Sets the initial pivot ordering and compute the F-norm squared for each column
setUt(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
setVt(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
show(DMatrixD1, String) - Static method in class org.ejml.dense.row.DMatrixVisualization
Creates a window visually showing the matrix's state.
singular(int, int, Random, double...) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random matrix which will have the provided singular values.
SingularOps_DDRM - Class in org.ejml.dense.row
Operations related to singular value decomposition.
SingularOps_DDRM() - Constructor for class org.ejml.dense.row.SingularOps_DDRM
 
singularThreshold - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
 
singularThreshold(SingularValueDecomposition_F64) - Static method in class org.ejml.dense.row.SingularOps_DDRM
Returns a reasonable threshold for singular values.

tol = max (size (A)) * largest sigma * eps;
solve(DMatrixRBlock, DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB
If X == null then the solution is written into B.
solve(DMatrixRBlock, DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB
 
solve(int, boolean, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB
Performs an in-place solve operation on the provided block aligned sub-matrices.

B = T-1 B

where T is a triangular matrix.
solve(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Solves for x in the following equation:

A*x = b
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRB
Only converts the B matrix and passes that onto solve.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM
Using the decomposition, finds the value of 'X' in the linear equation below:
A*x = b
where A has dimension of n by n, x and b are n by m dimension.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM
Using the decomposition, finds the value of 'X' in the linear equation below:
A*x = b
where A has dimension of n by n, x and b are n by m dimension.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM
Converts B and X into block matrices and calls the block matrix solve routine.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM
 
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLu_DDRM
 
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM
An other implementation of solve() that processes the matrices in a different order.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM
Solves for X using the QR decomposition.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM
Solves for X using the QR decomposition.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM
Solves for X using the QR decomposition.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM
Solves for X using the QR decomposition.
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM
 
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM
 
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
 
solveBlock(int, boolean, DSubmatrixD1, DSubmatrixD1, boolean, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB
Performs an in-place solve operation where T is contained in a single block.

B = T-1 B

where T is a triangular matrix contained in an inner block.
solveL(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Solves for non-singular lower triangular matrices using forward substitution.
solveL(int, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB
Solves lower triangular systems:

B = L-1 B

solveL(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
Solves for non-singular lower triangular matrices using forward substitution.
solveL(double[], double[], int, int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
L is a m by m matrix B is a m by n matrix
solveL_special(double[], DMatrixRMaj, int, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM
This is a variation on the TriangularSolver_DDRM.solveL(double[], double[], int) function.
solveLTransB(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Solves for non-singular lower triangular matrices using forward substitution.
SolveNullSpaceQR_DDRM - Class in org.ejml.dense.row.linsol.qr
Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.
SolveNullSpaceQR_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM
 
SolveNullSpaceQRP_DDRM - Class in org.ejml.dense.row.linsol.qr
Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.=
SolveNullSpaceQRP_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM
 
SolveNullSpaceSvd_DDRM - Class in org.ejml.dense.row.linsol.svd
 
SolveNullSpaceSvd_DDRM() - Constructor for class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM
 
SolvePseudoInverseQrp_DDRM - Class in org.ejml.dense.row.linsol.qr
A pseudo inverse solver for a generic QR column pivot decomposition algorithm.
SolvePseudoInverseQrp_DDRM(QRPDecomposition_F64<DMatrixRMaj>, boolean) - Constructor for class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM
Configure and provide decomposition
SolvePseudoInverseSvd_DDRM - Class in org.ejml.dense.row.linsol.svd
The pseudo-inverse is typically used to solve over determined system for which there is no unique solution.
x=inv(ATA)ATb
where A ∈ ℜ m × n and m ≥ n.
SolvePseudoInverseSvd_DDRM(int, int) - Constructor for class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
Creates a new solver targeted at the specified matrix size.
SolvePseudoInverseSvd_DDRM() - Constructor for class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM
Creates a solver targeted at matrices around 100x100
solveR(int, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB
Solves upper triangular systems:

B = R-1 B

solveTranL(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
This is a forward substitution solver for non-singular lower triangular matrices.
solveTransL(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Solves for non-singular transposed lower triangular matrices using backwards substitution:
B = L-TB

where B is a (m by n) matrix, L is a lower triangular (m by m) matrix.
solveTransU(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Solves for non-singular upper triangular matrices using forward substitution.
solveU(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB
Solves for non-singular upper triangular matrices using backwards substitution.
solveU(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
This is a forward substitution solver for non-singular upper triangular matrices.
solveU(double[], double[], int, int, int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
 
solveU(double[], int, int, int, double[], int, int, int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
This is a forward substitution solver for non-singular upper triangular matrices which are a sub-matrix inside a larger.
span(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a randomly generated set of orthonormal vectors.
SpecializedOps_DDRM - Class in org.ejml.dense.row
This contains less common or more specialized matrix operations.
SpecializedOps_DDRM() - Constructor for class org.ejml.dense.row.SpecializedOps_DDRM
 
splitIntoVectors(DMatrix1Row, boolean) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Takes a matrix and splits it into a set of row or column vectors.
splits - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
splits - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
square(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_DDRM
In-place transpose for a square matrix.
standard(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_DDRM
A straight forward transpose.
steps - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
SubmatrixOps_DDRM - Class in org.ejml.dense.row.mult
Operations that are performed on a submatrix inside a larger matrix.
SubmatrixOps_DDRM() - Constructor for class org.ejml.dense.row.mult.SubmatrixOps_DDRM
 
subtract(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = a - b
cij = aij - bij
subtract(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

c = a - b
ci = ai - bi
subtract(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = a - b
cij = aij - bij
subtract(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

c = a - b
ci = ai - bi
subtract(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = a - b
cij = aij - bij
subtract(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

c = a - b
ci = ai - bi
subtract(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = a - b
cij = aij - bij
subtract(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

c = a - b
ci = ai - bi
subtract(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = a - b
cij = aij - bij
subtract(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

c = a - b
ci = ai - bi
subtract(DMatrixD1, double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs matrix scalar subtraction:

c = a - val
cij = aij - val
subtract(double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs matrix scalar subtraction:

c = val - a
cij = val - aij
subtract(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following subtraction operation:

c = a - b
cij = aij - bij
subtractEquals(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

a = a - b
aij = aij - bij
subtractEquals(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs the following operation:

a = a - b
ai = ai - bi
subtractEquals(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

a = a - b
aij = aij - bij
subtractEquals(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs the following operation:

a = a - b
ai = ai - bi
subtractEquals(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

a = a - b
aij = aij - bij
subtractEquals(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs the following operation:

a = a - b
ai = ai - bi
subtractEquals(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

a = a - b
aij = aij - bij
subtractEquals(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs the following operation:

a = a - b
ai = ai - bi
subtractEquals(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

a = a - b
aij = aij - bij
subtractEquals(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs the following operation:

a = a - b
ai = ai - bi
subtractEquals(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs the following subtraction operation:

a = a - b
aij = aij - bij
subvector(DMatrix1Row, int, int, int, boolean, int, DMatrix1Row) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM
Extracts a row or column vector from matrix A.
sumCols(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the sum of each column in the input matrix and returns the results in a vector:

bj = min(i=1:m ; aij)
sumRows(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Computes the sum of each row in the input matrix and returns the results in a vector:

bj = sum(i=1:n ; aji)
svd(int, int, boolean, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Returns a SingularValueDecomposition that has been optimized for the specified matrix size.
SvdImplicitQrAlgorithm_DDRM - Class in org.ejml.dense.row.decomposition.svd.implicitqr
Computes the QR decomposition of a bidiagonal matrix.
SvdImplicitQrAlgorithm_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
SvdImplicitQrAlgorithm_DDRM() - Constructor for class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
SvdImplicitQrDecompose_DDRM - Class in org.ejml.dense.row.decomposition.svd
Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.
SvdImplicitQrDecompose_DDRM(boolean, boolean, boolean, boolean) - Constructor for class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM
Configures the class
swapColumns(int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
Finds the column with the largest normal and makes that the first column
swapDiag(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Exchanges the internal array of the diagonal elements for the provided one.
swapDiag(double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
swapOff(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
Exchanges the internal array of the off diagonal elements for the provided one.
swapOff(double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
swapRows(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM
 
SwitchingEigenDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.eig
Checks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.
SwitchingEigenDecomposition_DDRM(int, boolean, double) - Constructor for class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
SwitchingEigenDecomposition_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM
 
symm2x2_fast(double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64
Compute the symmetric eigenvalue using a slightly safer technique
symmetric(int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
symmetric(DMatrixRMaj, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Sets the provided square matrix to be a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
symmetricPosDef(int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a random symmetric positive definite matrix.
SymmetricQrAlgorithm_DDRM - Class in org.ejml.dense.row.decomposition.eig.symm
Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.
SymmetricQrAlgorithm_DDRM(SymmetricQREigenHelper_DDRM) - Constructor for class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
 
SymmetricQrAlgorithm_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM
Creates a new SymmetricQREigenvalue class that declares its own SymmetricQREigenHelper.
SymmetricQRAlgorithmDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.eig
Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.
SymmetricQRAlgorithmDecomposition_DDRM(TridiagonalSimilarDecomposition_F64<DMatrixRMaj>, boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
SymmetricQRAlgorithmDecomposition_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM
 
SymmetricQREigenHelper_DDRM - Class in org.ejml.dense.row.decomposition.eig.symm
A helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.
SymmetricQREigenHelper_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
symmetricWithEigenvalues(int, Random, double...) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates a new random symmetric matrix that will have the specified real eigenvalues.
symmPosDef(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM
Creates a solver for symmetric positive definite matrices.
symmRankNMinus_L(int, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Rank N update function for a symmetric inner submatrix and only operates on the lower triangular portion of the submatrix.

A = A - B*BT
symmRankNMinus_U(int, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB
Rank N update function for a symmetric inner submatrix and only operates on the upper triangular portion of the submatrix.

A = A - B TB
symmRankTranA_sub(DMatrixRMaj, DMatrixRMaj, int) - Static method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM
Performs this operation:

c = c - aTa
where c is a submatrix.

T

T - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
t - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
tau - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
tau - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
tau - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
tmp - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
tmp - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM
 
TOL - Static variable in class org.ejml.dense.row.CovarianceOps_DDRM
 
totalSteps - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
trace(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
This computes the trace of the matrix:

trace = ∑i=1:n { aii }
trace(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
This computes the trace of the matrix:

trace = ∑i=1:n { aii }
trace(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
This computes the trace of the matrix:

trace = ∑i=1:n { aii }
trace(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
This computes the trace of the matrix:

trace = ∑i=1:n { aii }
trace(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
This computes the trace of the matrix:

trace = ∑i=1:n { aii }
trace(DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM
This computes the trace of the matrix:

trace = ∑i=1:n { aii }
where n = min(numRows,numCols)
transpose(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Transposes a block matrix.
transpose(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Performs an in-place transpose.
transpose(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2
Transposes matrix 'a' and stores the results in 'b':

bij = aji
where 'b' is the transpose of 'a'.
transpose(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Performs an in-place transpose.
transpose(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3
Transposes matrix 'a' and stores the results in 'b':

bij = aji
where 'b' is the transpose of 'a'.
transpose(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Performs an in-place transpose.
transpose(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4
Transposes matrix 'a' and stores the results in 'b':

bij = aji
where 'b' is the transpose of 'a'.
transpose(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Performs an in-place transpose.
transpose(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5
Transposes matrix 'a' and stores the results in 'b':

bij = aji
where 'b' is the transpose of 'a'.
transpose(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Performs an in-place transpose.
transpose(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6
Transposes matrix 'a' and stores the results in 'b':

bij = aji
where 'b' is the transpose of 'a'.
transpose(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Performs an "in-place" transpose.
transpose(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM
Transposes matrix 'a' and stores the results in 'b':

bij = aji
where 'b' is the transpose of 'a'.
TransposeAlgs_DDRM - Class in org.ejml.dense.row.misc
Low level transpose algorithms.
TransposeAlgs_DDRM() - Constructor for class org.ejml.dense.row.misc.TransposeAlgs_DDRM
 
TriangularSolver_DDRB - Class in org.ejml.dense.block
Contains triangular solvers for DMatrixRBlock block aligned sub-matrices.
TriangularSolver_DDRB() - Constructor for class org.ejml.dense.block.TriangularSolver_DDRB
 
TriangularSolver_DDRM - Class in org.ejml.dense.row.decomposition
This contains algorithms for solving systems of equations where T is a non-singular triangular matrix:

T*x = b

where x and b are vectors, and T is an n by n matrix.
TriangularSolver_DDRM() - Constructor for class org.ejml.dense.row.decomposition.TriangularSolver_DDRM
 
triangularUpper(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM
Creates an upper triangular matrix whose values are selected from a uniform distribution.
tridiagonal(int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM
Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.
TridiagonalDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg
Wrapper around a block implementation of TridiagonalSimilarDecomposition_F64
TridiagonalDecomposition_DDRB_to_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM
 
TridiagonalDecomposition_DDRB_to_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM
 
TridiagonalDecompositionHouseholder_DDRB - Class in org.ejml.dense.block.decomposition.hessenberg
Tridiagonal similar decomposition for block matrices.
TridiagonalDecompositionHouseholder_DDRB() - Constructor for class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
TridiagonalDecompositionHouseholder_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg
Performs a similar tridiagonal decomposition on a square symmetric input matrix.
TridiagonalDecompositionHouseholder_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM
 
TridiagonalDecompositionHouseholderOrig_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg
A straight forward implementation from "Fundamentals of Matrix Computations," Second Edition.

This is only saved to provide a point of reference in benchmarks.
TridiagonalDecompositionHouseholderOrig_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM
 
TridiagonalHelper_DDRB - Class in org.ejml.dense.block.decomposition.hessenberg
 
TridiagonalHelper_DDRB() - Constructor for class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
 
tridiagUpperRow(int, DSubmatrixD1, double[], DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB
Performs a tridiagonal decomposition on the upper row only.

U

u - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
UnrolledDeterminantFromMinor_DDRM - Class in org.ejml.dense.row.misc
This code was auto generated by GenerateDeterminantFromMinor and should not be modified directly.
UnrolledDeterminantFromMinor_DDRM() - Constructor for class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM
 
UnrolledInverseFromMinor_DDRM - Class in org.ejml.dense.row.misc
This code was auto generated by GenerateInverseFromMinor and should not be modified directly.
UnrolledInverseFromMinor_DDRM() - Constructor for class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM
 
updateA(DSubmatrixD1) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB
A = (I + W YT)TA
A = A + Y (WTA)

where A is a submatrix of the input matrix.
updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*uT)A
updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*uT)A
updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*uT)A
updateNorms(int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM
Performs an efficient update of each columns' norm
updateQ(int, int, double, double) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
updateRotator(DMatrixRMaj, int, int, double, double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
Multiplied a transpose orthogonal matrix Q by the specified rotator.
upgradeSolution(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
Upgrades the basic solution to the optimal 2-norm solution.
upper(DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB
 
upper(double[], int, int) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB
Performs an inline upper Cholesky decomposition on an inner row-major matrix.
Ut - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
UtilDecompositons_DDRM - Class in org.ejml.dense.row.decomposition
Helper functions for generic decompsotions.
UtilDecompositons_DDRM() - Constructor for class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM
 

V

V - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
v - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM
 
v - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM
 
v - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM
 
value0 - Variable in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64
 
value1 - Variable in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64
 
value2x2(double, double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64
 
value2x2_fast(double, double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64
Computes the eigenvalues of a 2 by 2 matrix using a faster but more prone to errors method.
VectorOps_DDRB - Class in org.ejml.dense.block
Math operations for inner vectors (row and column) inside of block matrices:

scale: bi = α*ai
div: i = ai
add: ci = α*ai + βBi
dot: c = sum ai*bi
VectorOps_DDRB() - Constructor for class org.ejml.dense.block.VectorOps_DDRB
 
VectorVectorMult_DDRM - Class in org.ejml.dense.row.mult
Operations that involve multiplication of two vectors.
VectorVectorMult_DDRM() - Constructor for class org.ejml.dense.row.mult.VectorVectorMult_DDRM
 
Vt - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
vv - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
vv - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 

W

WatchedDoubleStepQRDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.eig
Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.
WatchedDoubleStepQRDecomposition_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM
 
WatchedDoubleStepQREigen_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched
The double step implicit Eigenvalue decomposition algorithm is fairly complicated and needs to be designed so that it can handle several special cases.
WatchedDoubleStepQREigen_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM
 
WatchedDoubleStepQREigenvalue_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched
 
WatchedDoubleStepQREigenvalue_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM
 
WatchedDoubleStepQREigenvector_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched
 
WatchedDoubleStepQREigenvector_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM
 

X

x1 - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
x1 - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
x2 - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM
 
x2 - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 

Y

Y - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM
 

Z

zerosM - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB
 
zeroTriangle(boolean, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB
Sets either the upper or low triangle of a matrix to zero

_

_getVV() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM
 
_getVV() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM
 
_getVV() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
 
_process() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM
 
_setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM
 
_solveVectorInternal(double[]) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM
a specialized version of solve that avoid additional checks that are not needed.
A B C D E F G H I K L M N O P Q R S T U V W X Y Z _ 
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