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 _

A

A - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

A - Variable in class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

Ablock - Variable in class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

add(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(D1Matrix64F, double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = a + β * b
c_ij = a_ij + β * b_ij

add(double, D1Matrix64F, double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = α * a + β * b
c_ij = α * a_ij + β * b_ij

add(double, D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = α * a + b
c_ij = α * a_ij + b_ij

add(D1Matrix64F, double) - Static method in class org.ejml.ops.CommonOps

Performs an in-place scalar addition:

a = a + val
a_ij = a_ij + val

add(D1Matrix64F, double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs scalar addition:

c = a + val
c_ij = a_ij + val

add_row(int, D1Submatrix64F, int, double, D1Submatrix64F, int, double, D1Submatrix64F, int, int, int) - Static method in class org.ejml.alg.block.BlockVectorOps

Row vector add:
add: c_i = α*a_i + βB_i
where 'a', 'b', and 'c' are row vectors within the row block vectors of A, B, and C respectively.

add_row(int, D1Submatrix64F, int, double, D1Submatrix64F, int, double, D1Submatrix64F, int, int, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

addComputedEigen2x2(int, int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

addEigenAt(int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

addEquals(FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(D1Matrix64F, double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

a = a + β * b
a_ij = a_ij + β * b_ij

addIdentity(RowD1Matrix64F, RowD1Matrix64F, double) - Static method in class org.ejml.ops.SpecializedOps

Performs the following operation:

B = A + αI

addOuterProd(double, D1Matrix64F, D1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

Adds to A ∈ ℜ ^{m × n} the results of an outer product multiplication of the two vectors.

addRandom(DenseMatrix64F, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Adds random values to each element in the matrix from an uniform distribution.

a_ij = a_ij + U(min,max)

addRow(DenseMatrix64F, DenseMatrix64F, double[], int, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QrUpdate

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.alg.dense.linsol.AdjustableLinearSolver

Adds a row to A.

addRowToA(double[], int) - Method in class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr_D64

AdjLinearSolverQr_D64 - Class in org.ejml.alg.dense.linsol.qr

A solver for QR decomposition that can efficiently modify the previous decomposition when data is added or removed.

AdjLinearSolverQr_D64() - Constructor for class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr_D64

adjustable() - Static method in class org.ejml.factory.LinearSolverFactory

Create a solver which can efficiently add and remove elements instead of recomputing everything from scratch.

AdjustableLinearSolver - Interface in org.ejml.alg.dense.linsol

In many situations solutions to linear systems that share many of the same data points are needed.

alg - Variable in class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

alg - Variable in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

applyQ(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

Multiplies the provided matrix by Q using householder reflectors.

applyQ(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

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(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

A = Q*A

applyQTran(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

Multiplies the provided matrix by Q^T using householder reflectors.

applyReflectorsToRow(int, D1Submatrix64F, D1Submatrix64F, int) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

Applies the reflectors that have been computed previously to the specified row.

applyTranQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

A = Q^T*A

assertCountable(RealMatrix64F) - Static method in class org.ejml.ops.EjmlUnitTests

Checks to see if every element in A is countable.

assertEquals(RealMatrix64F, RealMatrix64F, double) - Static method in class org.ejml.ops.EjmlUnitTests

Checks to see if each element in the matrices are within tolerance of each other and countable:

assertEquals(RealMatrix32F, RealMatrix32F, float) - Static method in class org.ejml.ops.EjmlUnitTests

assertEquals(Complex64F, Complex64F, double) - Static method in class org.ejml.ops.EjmlUnitTests

assertEquals(ComplexMatrix64F, ComplexMatrix64F, double) - Static method in class org.ejml.ops.EjmlUnitTests

assertEqualsTrans(RealMatrix64F, RealMatrix64F, double) - Static method in class org.ejml.ops.EjmlUnitTests

Checks to see if the transpose of B is equal to A and countable:

assertEqualsUncountable(RealMatrix64F, RealMatrix64F, double) - Static method in class org.ejml.ops.EjmlUnitTests

Checks to see if each element in the matrix is within tolerance of each other:

assertShape(Matrix, Matrix) - Static method in class org.ejml.ops.EjmlUnitTests

Checks to see if A and B have the same shape.

assertShape(RealMatrix64F, int, int) - Static method in class org.ejml.ops.EjmlUnitTests

Checks to see if the matrix has the specified number of rows and columns.

B

BaseDecomposition_B64_to_D64 - Class in org.ejml.alg.dense.decomposition

Generic interface for wrapping a BlockMatrix64F decomposition for processing of DenseMatrix64F.

BaseDecomposition_B64_to_D64(DecompositionInterface<BlockMatrix64F>, int) - Constructor for class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

BaseLinearSolverQrp_D64 - Class in org.ejml.alg.dense.linsol.qr

Base class for QR pivot based pseudo inverse classes.

BaseLinearSolverQrp_D64(QRPDecomposition<DenseMatrix64F>, boolean) - Constructor for class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

Configures internal parameters.

BidiagonalDecompositionRow_D64 - Class in org.ejml.alg.dense.decomposition.bidiagonal

Performs a BidiagonalDecomposition using householder reflectors.

BidiagonalDecompositionRow_D64(int) - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Creates a decompose that defines the specified amount of memory.

BidiagonalDecompositionRow_D64() - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

BidiagonalDecompositionTall_D64 - Class in org.ejml.alg.dense.decomposition.bidiagonal

BidiagonalDecomposition specifically designed for tall matrices.

BidiagonalDecompositionTall_D64() - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

BidiagonalHelper - Class in org.ejml.alg.block.decomposition.bidiagonal

BidiagonalHelper() - Constructor for class org.ejml.alg.block.decomposition.bidiagonal.BidiagonalHelper

bidiagOuterBlocks(int, D1Submatrix64F, double[], double[]) - Static method in class org.ejml.alg.block.decomposition.bidiagonal.BidiagonalHelper

Performs a standard bidiagonal decomposition just on the outer blocks of the provided matrix

block(RowD1Matrix64F, RowD1Matrix64F, int) - Static method in class org.ejml.alg.dense.misc.TransposeAlgs

Performs a transpose across block sub-matrices.

blockA - Variable in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

blockAligned(int, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Checks to see if the submatrix has its boundaries along inner blocks.

blockB - Variable in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

BlockCholeskyOuterSolver - Class in org.ejml.alg.block.linsol.chol

Linear solver that uses a block cholesky decomposition.

BlockCholeskyOuterSolver() - Constructor for class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

BlockHouseHolder - Class in org.ejml.alg.block.decomposition.qr

Contains various helper functions for performing a block matrix QR decomposition.

BlockHouseHolder() - Constructor for class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

BlockInnerMultiplication - Class in org.ejml.alg.block

Matrix multiplication for the inner row major blocks, typically inside of a BlockMatrix64F.

BlockInnerMultiplication() - Constructor for class org.ejml.alg.block.BlockInnerMultiplication

BlockInnerRankUpdate - Class in org.ejml.alg.block

Performs rank-n update operations on the inner blocks of a BlockMatrix64F It is assumed and not checked that the submatrices are aligned along the matrix's blocks.

BlockInnerRankUpdate() - Constructor for class org.ejml.alg.block.BlockInnerRankUpdate

BlockInnerTriangularSolver - Class in org.ejml.alg.block

Contains triangular solvers for inner blocks of a BlockMatrix64F.

BlockInnerTriangularSolver() - Constructor for class org.ejml.alg.block.BlockInnerTriangularSolver

blockLength - Variable in class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

BlockMatrixOps - Class in org.ejml.alg.block

Various operations on BlockMatrix64F.

BlockMatrixOps() - Constructor for class org.ejml.alg.block.BlockMatrixOps

BlockMultiplication - Class in org.ejml.alg.block

Matrix multiplication for BlockMatrix64F.

BlockMultiplication() - Constructor for class org.ejml.alg.block.BlockMultiplication

blockMultMinus(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

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.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = C - A^T * B

blockMultMinusTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = C - A * B^T

blockMultPlus(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

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.alg.block.BlockInnerMultiplication

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.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = C + A^T * B

blockMultPlusTransA(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = C + α A^T * B

blockMultPlusTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = C + A * B^T

blockMultPlusTransB(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = C + α A * B^T

blockMultSet(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

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.alg.block.BlockInnerMultiplication

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.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = A^T * B

blockMultSetTransA(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = α A^T * B

blockMultSetTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = A * B^T

blockMultSetTransB(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerMultiplication

Performs the follow operation on individual inner blocks:

C = α A * B^T

BlockQrHouseHolderSolver - Class in org.ejml.alg.block.linsol.qr

A solver for QRDecompositionHouseholder_B64.

BlockQrHouseHolderSolver() - Constructor for class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

BlockTriangularSolver - Class in org.ejml.alg.block

Contains triangular solvers for BlockMatrix64F block aligned sub-matrices.

BlockTriangularSolver() - Constructor for class org.ejml.alg.block.BlockTriangularSolver

BlockVectorOps - Class in org.ejml.alg.block

Math operations for inner vectors (row and column) inside of block matrices:

scale: b_i = α*a_i
div: _i = a_i/α
add: c_i = α*a_i + βB_i
dot: c = sum a_i*b_i

BlockVectorOps() - Constructor for class org.ejml.alg.block.BlockVectorOps

blockX - Variable in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

boundLargestEigenValue(DenseMatrix64F, double[]) - Static method in class org.ejml.ops.EigenOps

Generates a bound for the largest eigen value of the provided matrix using Perron-Frobenius theorem.

bulgeDoubleStepQn(int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

bulgeDoubleStepQn(int, double, double, double, double, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

bulgeSingleStepQn(int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

bulgeSingleStepQn(int, double, double, double, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

C

changeSign(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Changes the sign of every element in the matrix.

output_ij = -input_ij

checkForAndHandleZeros() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Checks to see if either the diagonal element or off diagonal element is zero.

checkIdenticalShape(BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Checks to see if the two matrices have an identical shape an block size.

checkSvdMatrixSize(DenseMatrix64F, boolean, DenseMatrix64F, DenseMatrix64F, boolean) - Static method in class org.ejml.ops.SingularOps

Checks to see if all the provided matrices are the expected size for an SVD.

chol(int, boolean) - Static method in class org.ejml.factory.DecompositionFactory

Returns a CholeskyDecomposition that has been optimized for the specified matrix size.

chol(int) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a linear solver using Cholesky decomposition

CholeskyDecomposition_B64_to_D64 - Class in org.ejml.alg.dense.decomposition.chol

Wrapper around CholeskyOuterForm_B64 that allows it to process DenseMatrix64F.

CholeskyDecomposition_B64_to_D64(boolean) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecomposition_B64_to_D64

CholeskyDecompositionBlock_D64 - Class in org.ejml.alg.dense.decomposition.chol

This is an implementation of Cholesky that processes internal submatrices as blocks.

CholeskyDecompositionBlock_D64(int) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock_D64

Creates a CholeksyDecomposition capable of decomposing a matrix that is n by n, where n is the width.

CholeskyDecompositionCommon_D64 - Class in org.ejml.alg.dense.decomposition.chol

This is an abstract class for a Cholesky decomposition.

CholeskyDecompositionCommon_D64(boolean) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

Specifies if a lower or upper variant should be constructed.

CholeskyDecompositionInner_D64 - Class in org.ejml.alg.dense.decomposition.chol

This implementation of a Cholesky decomposition using the inner-product form.

CholeskyDecompositionInner_D64() - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner_D64

CholeskyDecompositionInner_D64(boolean) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner_D64

CholeskyDecompositionLDL_D64 - Class in org.ejml.alg.dense.decomposition.chol

This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition:

L*D*L^T=A

where L is a lower triangular matrix with zeros on the diagonal.

CholeskyDecompositionLDL_D64() - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

CholeskyOuterForm_B64 - Class in org.ejml.alg.block.decomposition.chol

Block Cholesky using outer product form.

CholeskyOuterForm_B64(boolean) - Constructor for class org.ejml.alg.block.decomposition.chol.CholeskyOuterForm_B64

Creates a new BlockCholeskyOuterForm

cholLDL(int) - Static method in class org.ejml.factory.DecompositionFactory

Returns a CholeskyDecompositionLDL_D64 that has been optimized for the specified matrix size.

CodeGeneratorMisc - Class in org.ejml.alg.generic

Various things related to auto generating code.

CodeGeneratorMisc() - Constructor for class org.ejml.alg.generic.CodeGeneratorMisc

columnsToVector(DenseMatrix64F, DenseMatrix64F[]) - Static method in class org.ejml.ops.CommonOps

Converts the columns in a matrix into a set of vectors.

CommonOps - Class in org.ejml.ops

Common matrix operations are contained here.

CommonOps() - Constructor for class org.ejml.ops.CommonOps

commonSetup(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

This function performs sanity check on the input for decompose and sets up the QR matrix.

compute(RowD1Matrix64F) - Method in class org.ejml.alg.dense.misc.DeterminantFromMinor

Computes the determinant for the specified matrix.

computeDeterminant() - Method in class org.ejml.alg.block.decomposition.chol.CholeskyOuterForm_B64

computeDeterminant() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecomposition_B64_to_D64

computeDeterminant() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

computeDeterminant() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

Computes the determinant from the LU decomposition.

computeDirect(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

This method computes the eigen vector with the largest eigen value by using the direct power method.

computeEigenValue(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.EigenOps

Given matrix A and an eigen vector of A, compute the corresponding eigen value.

computeEigenVector(DenseMatrix64F, double) - Static method in class org.ejml.ops.EigenOps

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, D1Submatrix64F, double[], int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes the householder vector that is used to create reflector for the column.

computeHouseHolderRow(int, D1Submatrix64F, double[], int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes the householder vector from the specified row

computeLikelihoodP() - Method in class org.ejml.ops.CovarianceRandomDraw

Computes the likelihood of the random draw

computeRotator(double, double) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Computes a rotator that will set run to zero (?)

computeRowOfV(int, D1Submatrix64F, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

Final computation for a single row of 'v':

v = y -(1/2)γ(y^T*u)*u

computeShift() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

computeShiftDirect(DenseMatrix64F, double) - Method in class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

Computes the most dominant eigen vector of A using a shifted matrix.

computeShiftInvert(DenseMatrix64F, double) - Method in class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

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.alg.dense.decomposition.qr.QrHelperFunctions_D64

computeTauAndDivide(int, int, double[], double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

Normalizes elements in 'u' by dividing by max and computes the norm2 of the normalized array u.

computeTauAndDivideCol(int, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

From the specified column of Y tau is computed and each element is divided by 'max'.

computeTauAndDivideRow(int, D1Submatrix64F, int, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

From the specified row of Y tau is computed and each element is divided by 'max'.

computeU(int) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

computeV(int) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

computeV_blockVector(int, D1Submatrix64F, double[], D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

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, D1Submatrix64F, D1Submatrix64F, double[], double[], int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes W from the householder reflectors stored in the columns of the column block submatrix Y.

computeW_row(int, D1Submatrix64F, D1Submatrix64F, double[], int) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

Computes W from the householder reflectors stored in the columns of the row block submatrix Y.

computeWilkinsonShift() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

computeY(int, D1Submatrix64F, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

Computes the 'y' vector and stores the result in 'v'

y = -γ(A + U*V^T + V*U^T)u

computeY_t_V(int, D1Submatrix64F, int, double[]) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes Y^Tv^(j).

computeZ(int, D1Submatrix64F, D1Submatrix64F, int, double[], double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes the vector z and inserts it into 'W':

z = - β_j*(V^j + W*h)

where h is a vector of length 'col' and was computed using BlockHouseHolder.computeY_t_V(int, org.ejml.data.D1Submatrix64F, int, double[]).

conditionP(DenseMatrix64F, double) - Static method in class org.ejml.ops.NormOps

The condition number of a matrix is used to measure the sensitivity of the linear system Ax=b.

conditionP2(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

The condition p = 2 number of a matrix is used to measure the sensitivity of the linear system Ax=b.

convert(DenseMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Converts a row major matrix into a row major block matrix.

convert(BlockMatrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Converts a row major block matrix into a row major matrix.

convert(DenseMatrix64F, int) - Static method in class org.ejml.alg.block.BlockMatrixOps

convert(DenseMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

convertBlockToRow(int, int, int, double[], double[]) - Static method in class org.ejml.alg.block.BlockMatrixOps

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.alg.dense.decomposition.BaseDecomposition_B64_to_D64

convertRowToBlock(int, int, int, double[], double[]) - Static method in class org.ejml.alg.block.BlockMatrixOps

Converts matrix data stored is a row major format into a block row major format in place.

convertToColumnMajor(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.

convertTranSrc(DenseMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Converts the transpose of a row major matrix into a row major block matrix.

copy(RealMatrix64F, RealMatrix64F) - Static method in class org.ejml.alg.generic.GenericMatrixOps

copyChangeRow(int[], DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.SpecializedOps

Creates a copy of a matrix but swaps the rows as specified by the order array.

copyDiag(double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

copyEigenvalues(double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

copyOff(double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

COPYRIGHT - Static variable in class org.ejml.alg.generic.CodeGeneratorMisc

copyTriangle(boolean, BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Copies either the upper or lower triangular portion of src into dst.

copyTriangle(DenseMatrix64F, DenseMatrix64F, boolean) - Static method in class org.ejml.ops.SpecializedOps

Copies just the upper or lower triangular portion of a matrix.

CovarianceOps - Class in org.ejml.ops

Contains operations specific to covariance matrices.

CovarianceOps() - Constructor for class org.ejml.ops.CovarianceOps

CovarianceRandomDraw - Class in org.ejml.ops

Generates random vectors based on a zero mean multivariate Gaussian distribution.

CovarianceRandomDraw(Random, DenseMatrix64F) - Constructor for class org.ejml.ops.CovarianceRandomDraw

Creates a random distribution with the specified mean and covariance.

createBulge(int, double, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Performs a similar transform on A-pI

createBulge(int, double, double, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Performs a similar transform on B^TB-pI

createBulge2by2(int, double, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

createBulgeSingleStep(int, double) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

createClass() - Method in class org.ejml.alg.block.GeneratorBlockInnerMultiplication

createDiagonal(int, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a random diagonal matrix where the diagonal elements are selected from a uniform distribution that goes from min to max.

createDiagonal(int, int, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a random matrix where all elements are zero but diagonal elements.

createEigenvaluesSymm(int, Random, double...) - Static method in class org.ejml.ops.RandomMatrices

Creates a new random symmetric matrix that will have the specified real eigenvalues.

createGaussian(int, int, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation

createInSpan(DenseMatrix64F[], double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a random vector that is inside the specified span.

createMatrixD(EigenDecomposition) - Static method in class org.ejml.ops.EigenOps

A diagonal matrix where real diagonal element contains a real eigenvalue.

createMatrixV(EigenDecomposition<DenseMatrix64F>) - Static method in class org.ejml.ops.EigenOps

Puts all the real eigenvectors into the columns of a matrix.

createOrthogonal(int, int, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a random orthogonal or isometric matrix, depending on the number of rows and columns.

createR - Variable in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

createRandom(int, int, double, double, Random) - Static method in class org.ejml.alg.block.BlockMatrixOps

createRandom(int, int, double, double, Random, int) - Static method in class org.ejml.alg.block.BlockMatrixOps

createRandom(int, int, Random) - Static method in class org.ejml.ops.RandomMatrices

Returns a matrix where all the elements are selected independently from a uniform distribution between 0 and 1 inclusive.

createRandom(int, int, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.

createReflector(RowD1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Creates a reflector from the provided vector.

Q = I - γ u u^T
γ = 2/||u||²

createReflector(DenseMatrix64F, double) - Static method in class org.ejml.ops.SpecializedOps

Creates a reflector from the provided vector and gamma.

Q = I - γ u u^T

createSingularValues(int, int, Random, double...) - Static method in class org.ejml.ops.RandomMatrices

Creates a random matrix which will have the provided singular values.

createSpan(int, int, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a randomly generated set of orthonormal vectors.

createSymmetric(int, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.

createSymmetric(DenseMatrix64F, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Sets the provided square matrix to be a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.

createSymmPosDef(int, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates a random symmetric positive definite matrix.

createUpperTriangle(int, int, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Creates an upper triangular matrix whose values are selected from a uniform distribution.

D

dataLU - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

dataQR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

dataQR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Where the Q and R matrices are stored.

declareInternalData(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QrUpdate

Declares the internal data structures so that it can process matrices up to the specified size.

decomp - Variable in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

decompose(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.chol.CholeskyOuterForm_B64

Decomposes the provided matrix and stores the result in the same matrix.

decompose(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

decompose(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Computes the decomposition of the provided matrix.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

Performs Choleksy decomposition on the provided matrix.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

Performs Choleksy decomposition on the provided matrix.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

Decomposes the matrix using the QR algorithm.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition_D64

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

Computes the decomposition of the provided matrix.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

Decomposes the provided symmetric matrix.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

Decomposes the provided symmetric matrix.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionAlt_D64

This is a modified version of what was found in the JAMA package.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

To decompose the matrix 'A' it must have full rank.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

In order to decompose the matrix 'A' it must have full rank.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

To decompose the matrix 'A' it must have full rank.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

To decompose the matrix 'A' it must have full rank.

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

decomposeCommonInit(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

decomposeLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock_D64

Performs Choleksy decomposition on the provided matrix.

decomposeLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

Performs an lower triangular decomposition.

decomposeLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner_D64

decomposeQR_block_col(int, D1Submatrix64F, double[]) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Performs a standard QR decomposition on the specified submatrix that is one block wide.

decomposer - Variable in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

decomposeSafe(DecompositionInterface<T>, T) - Static method in class org.ejml.factory.DecompositionFactory

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.alg.dense.decomposition.chol.CholeskyDecompositionBlock_D64

decomposeUpper() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

Performs an upper triangular decomposition.

decomposeUpper() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner_D64

DecompositionFactory - Class in org.ejml.factory

Contains operations related to creating and evaluating the quality of common matrix decompositions.

DecompositionFactory() - Constructor for class org.ejml.factory.DecompositionFactory

deleteRow(DenseMatrix64F, DenseMatrix64F, int, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QrUpdate

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(DenseMatrix64F, boolean, DenseMatrix64F, DenseMatrix64F, boolean) - Static method in class org.ejml.ops.SingularOps

Adjusts the matrices so that the singular values are in descending order.

descendingOrder(DenseMatrix64F, boolean, double[], int, DenseMatrix64F, boolean) - Static method in class org.ejml.ops.SingularOps

Similar to SingularOps.descendingOrder(org.ejml.data.DenseMatrix64F, boolean, org.ejml.data.DenseMatrix64F, org.ejml.data.DenseMatrix64F, boolean) but takes in an array of singular values instead.

det - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

det(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

det(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Computes the determinant using minor matrices.

det(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Computes the determinant using minor matrices.

det(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Computes the determinant using minor matrices.

det(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Computes the determinant using minor matrices.

det(DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Returns the determinant of the matrix.

det2(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

det3(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

det4(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

det5(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

det6(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

DeterminantFromMinor - Class in org.ejml.alg.dense.misc

Computes the determinant of a matrix using Laplace expansion.

DeterminantFromMinor(int) - Constructor for class org.ejml.alg.dense.misc.DeterminantFromMinor

DeterminantFromMinor(int, int) - Constructor for class org.ejml.alg.dense.misc.DeterminantFromMinor

diag - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

diag - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

diag(FixedMatrix2x2_64F, FixedMatrix2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(FixedMatrix3x3_64F, FixedMatrix3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(FixedMatrix4x4_64F, FixedMatrix4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(FixedMatrix5x5_64F, FixedMatrix5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(FixedMatrix6x6_64F, FixedMatrix6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(double...) - Static method in class org.ejml.ops.CommonOps

Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero.

a_ij = 0 if i ≤ j
a_ij = diag[i] if i = j

diag(DenseMatrix64F, int, double...) - Static method in class org.ejml.ops.CommonOps

diagProd(RowD1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Computes the product of the diagonal elements.

diagR(int, int, double...) - Static method in class org.ejml.ops.CommonOps

Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero.

a_ij = 0 if i ≤ j
a_ij = diag[i] if i = j

diffNormF(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Computes the F norm of the difference between the two Matrices:

Sqrt{∑_i=1:m ∑_j=1:n ( a_ij - b_ij)²}

diffNormF_fast(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

diffNormP1(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Computes the p=1 p-norm of the difference between the two Matrices:

∑_i=1:m ∑_j=1:n | a_ij - b_ij|

where |x| is the absolute value of x.

div_row(int, D1Submatrix64F, int, double, D1Submatrix64F, int, int, int) - Static method in class org.ejml.alg.block.BlockVectorOps

Row vector divide:
div: b_i = a_i/α
where 'a' and 'b' are row vectors within the row block vector A and B.

divide(FixedMatrix2x2_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs an in-place element by element scalar division.

divide(FixedMatrix2x2_64F, double, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs an element by element scalar division.

divide(FixedMatrix3x3_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs an in-place element by element scalar division.

divide(FixedMatrix3x3_64F, double, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs an element by element scalar division.

divide(FixedMatrix4x4_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs an in-place element by element scalar division.

divide(FixedMatrix4x4_64F, double, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs an element by element scalar division.

divide(FixedMatrix5x5_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs an in-place element by element scalar division.

divide(FixedMatrix5x5_64F, double, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs an element by element scalar division.

divide(FixedMatrix6x6_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs an in-place element by element scalar division.

divide(FixedMatrix6x6_64F, double, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs an element by element scalar division.

divide(double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs an in-place element by element scalar division with the scalar on top.

a_ij = &alpha/a_ij;

divide(D1Matrix64F, double) - Static method in class org.ejml.ops.CommonOps

Performs an in-place element by element scalar division with the scalar on bottom.

a_ij = a_ij/α

divide(double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs an element by element scalar division with the scalar on top.

b_ij = &alpha/a_ij;

divide(D1Matrix64F, double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs an element by element scalar division with the scalar on botton.

b_ij = a_ij /α

divideElements(int, int, double[], double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

divideElements(int, int, double[], int, double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

divideElements_Bcol(int, int, int, double[], double[], int, double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

divideElements_Brow(int, int, double[], double[], int, double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

divideElementsCol(int, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Divides the elements at the specified column by 'val'.

dominantEigenpair(DenseMatrix64F) - Static method in class org.ejml.ops.EigenOps

Computes the dominant eigen vector for a matrix.

dot(FixedMatrix2_64F, FixedMatrix2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the vector dot product:

c = a * b

c> = ∑_k=1:n { b_k * a_k }

dot(FixedMatrix3_64F, FixedMatrix3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the vector dot product:

c = a * b

c> = ∑_k=1:n { b_k * a_k }

dot(FixedMatrix4_64F, FixedMatrix4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the vector dot product:

c = a * b

c> = ∑_k=1:n { b_k * a_k }

dot(FixedMatrix5_64F, FixedMatrix5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the vector dot product:

c = a * b

c> = ∑_k=1:n { b_k * a_k }

dot(FixedMatrix6_64F, FixedMatrix6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the vector dot product:

c = a * b

c> = ∑_k=1:n { b_k * a_k }

dot(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

dot_row(int, D1Submatrix64F, int, D1Submatrix64F, int, int, int) - Static method in class org.ejml.alg.block.BlockVectorOps

Row vector dot/inner product:
dot: c = sum a_i*b_i
where 'a' and 'b' are row vectors within the row block vector A and B, and 'c' is a scalar.

dot_row_col(int, D1Submatrix64F, int, D1Submatrix64F, int, int, int) - Static method in class org.ejml.alg.block.BlockVectorOps

vector dot/inner product from one row vector and one column vector:
dot: c = sum a_i*b_i
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.factory.DecompositionFactory

Returns an EigenDecomposition that has been optimized for the specified matrix size.

eig(int, boolean, boolean) - Static method in class org.ejml.factory.DecompositionFactory

Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.

eigen2by2_scale(double, double, double, double) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

eigenBB_2x2(int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Computes the eigenvalue of the 2 by 2 matrix B^TB

EigenOps - Class in org.ejml.ops

Additional functions related to eigenvalues and eigenvectors of a matrix.

EigenOps() - Constructor for class org.ejml.ops.EigenOps

EigenPowerMethod - Class in org.ejml.alg.dense.decomposition.eig

The power method is an iterative method that can be used to find dominant eigen vector in a matrix.

EigenPowerMethod(int) - Constructor for class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

eigenSmall - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

eigenSmall - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

eigenvalue2by2(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Computes the eigenvalue of the 2 by 2 matrix.

EigenvalueExtractor - Interface in org.ejml.alg.dense.decomposition.eig

EigenvalueSmall - Class in org.ejml.alg.dense.decomposition.eig

EigenvalueSmall() - Constructor for class org.ejml.alg.dense.decomposition.eig.EigenvalueSmall

EjmlUnitTests - Class in org.ejml.ops

Contains various functions related to unit testing matrix operations.

EjmlUnitTests() - Constructor for class org.ejml.ops.EjmlUnitTests

EjmlUnitTests.TestException - Exception in org.ejml.ops

elementDiagonalMaxAbs(D1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Returns the absolute value of the digonal element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementDiv(FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementExp(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Element-wise exp operation
c_ij = Math.log(a_ij)

elementLog(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Element-wise log operation
c_ij = Math.log(a_ij)

elementMax(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMaxAbs(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMin(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMinAbs(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMult(FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementP(RowD1Matrix64F, double) - Static method in class org.ejml.ops.NormOps

Element wise p-norm:

norm = {∑_i=1:m ∑_j=1:n { |a_ij|^p}}^1/p

elementPower(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Element-wise power operation
c_ij = a_ij ^ b_ij

elementPower(double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Element-wise power operation
c_ij = a ^ b_ij

elementPower(D1Matrix64F, double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Element-wise power operation
c_ij = a_ij ^ b

elementSum(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the sum of all the elements in the matrix:

sum(i=1:m , j=1:n ; a_ij)

elementSumAbs(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the sum of the absolute value all the elements in the matrix:

sum(i=1:m , j=1:n ; |a_ij|)

elementSumSq(D1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Sums up the square of each element in the matrix.

error - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

error - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

error - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

exceptionalShift() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

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.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

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.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

It is possible for the QR algorithm to get stuck in a loop because of symmetries.

extract(DenseMatrix64F, int, int, DenseMatrix64F, int, int, int, int) - Static method in class org.ejml.alg.dense.misc.ImplCommonOps_DenseMatrix64F

extract(RealMatrix64F, int, int, RealMatrix64F, int, int, int, int) - Static method in class org.ejml.alg.dense.misc.ImplCommonOps_Matrix64F

extract(RealMatrix64F, int, int, int, int, RealMatrix64F, int, int) - Static method in class org.ejml.ops.CommonOps

Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.

extract(DenseMatrix64F, int, int, int, int) - Static method in class org.ejml.ops.CommonOps

Creates a new matrix which is the specified submatrix of 'src'

extractAligned(BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Extracts a matrix from src into dst.

extractColumn(FixedMatrix2x2_64F, int, FixedMatrix2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Extracts the column from the matrix a.

extractColumn(FixedMatrix3x3_64F, int, FixedMatrix3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Extracts the column from the matrix a.

extractColumn(FixedMatrix4x4_64F, int, FixedMatrix4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Extracts the column from the matrix a.

extractColumn(FixedMatrix5x5_64F, int, FixedMatrix5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Extracts the column from the matrix a.

extractColumn(FixedMatrix6x6_64F, int, FixedMatrix6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Extracts the column from the matrix a.

extractColumn(DenseMatrix64F, int, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Extracts the column from a matrix.

extractDiag(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Extracts the diagonal elements 'src' write it to the 'dst' vector.

extractRow(FixedMatrix2x2_64F, int, FixedMatrix2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Extracts the row from the matrix a.

extractRow(FixedMatrix3x3_64F, int, FixedMatrix3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Extracts the row from the matrix a.

extractRow(FixedMatrix4x4_64F, int, FixedMatrix4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Extracts the row from the matrix a.

extractRow(FixedMatrix5x5_64F, int, FixedMatrix5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Extracts the row from the matrix a.

extractRow(FixedMatrix6x6_64F, int, FixedMatrix6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Extracts the row from the matrix a.

extractRow(DenseMatrix64F, int, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Extracts the row from a matrix.

extractVectors(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

F

fastElementP(D1Matrix64F, double) - Static method in class org.ejml.ops.NormOps

Same as NormOps.elementP(org.ejml.data.RowD1Matrix64F, double) but runs faster by not mitigating overflow/underflow related problems.

fastNormF(D1Matrix64F) - Static method in class org.ejml.ops.NormOps

This implementation of the Frobenius norm is a straight forward implementation and can be susceptible for overflow/underflow issues.

fastNormP(DenseMatrix64F, double) - Static method in class org.ejml.ops.NormOps

An unsafe but faster version of NormOps.normP(org.ejml.data.DenseMatrix64F, double) that calls routines which are faster but more prone to overflow/underflow problems.

fastNormP2(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Computes the p=2 norm.

fill(FixedMatrix2x2_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps2

Sets every element in the matrix to the specified value.

a_ij = value

fill(FixedMatrix3x3_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps3

Sets every element in the matrix to the specified value.

a_ij = value

fill(FixedMatrix4x4_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps4

Sets every element in the matrix to the specified value.

a_ij = value

fill(FixedMatrix5x5_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps5

Sets every element in the matrix to the specified value.

a_ij = value

fill(FixedMatrix6x6_64F, double) - Static method in class org.ejml.alg.fixed.FixedOps6

Sets every element in the matrix to the specified value.

a_ij = value

fill(D1Matrix64F, double) - Static method in class org.ejml.ops.CommonOps

Sets every element in the matrix to the specified value.

a_ij = value

findMax(double[], int, int) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

findMaxCol(int, D1Submatrix64F, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Finds the element in the column with the largest absolute value.

findMaxRow(int, D1Submatrix64F, int, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Finds the element in the column with the largest absolute value.

findQandR() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

FixedOps2 - Class in org.ejml.alg.fixed

Common matrix operations for fixed sized matrices which are 2 x 2 or 2 element vectors.

FixedOps2() - Constructor for class org.ejml.alg.fixed.FixedOps2

FixedOps3 - Class in org.ejml.alg.fixed

Common matrix operations for fixed sized matrices which are 3 x 3 or 3 element vectors.

FixedOps3() - Constructor for class org.ejml.alg.fixed.FixedOps3

FixedOps4 - Class in org.ejml.alg.fixed

Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.

FixedOps4() - Constructor for class org.ejml.alg.fixed.FixedOps4

FixedOps5 - Class in org.ejml.alg.fixed

Common matrix operations for fixed sized matrices which are 5 x 5 or 5 element vectors.

FixedOps5() - Constructor for class org.ejml.alg.fixed.FixedOps5

FixedOps6 - Class in org.ejml.alg.fixed

Common matrix operations for fixed sized matrices which are 6 x 6 or 6 element vectors.

FixedOps6() - Constructor for class org.ejml.alg.fixed.FixedOps6

G

gamma - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

gamma - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

gamma - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

gammas - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

gammas - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

gammas - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

gammas - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

general(int, int) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a general purpose solver.

GeneratorBlockInnerMultiplication - Class in org.ejml.alg.block

GeneratorBlockInnerMultiplication(String) - Constructor for class org.ejml.alg.block.GeneratorBlockInnerMultiplication

GenericMatrixOps - Class in org.ejml.alg.generic

GenericMatrixOps() - Constructor for class org.ejml.alg.generic.GenericMatrixOps

getA() - Method in class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

getA() - Method in class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr_D64

Compute the A matrix from the Q and R matrices.

getB(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Returns the bidiagonal matrix.

getB(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

getD(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

getDecomposer() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

getDecomposer() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

getDecomposition() - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

getDecomposition() - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

getDecomposition() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

getDecomposition() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

getDecomposition() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

getDiag() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getDiagonal(double[], double[]) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

getDiagonal() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

Diagonal elements of the diagonal D matrix.

getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecomposition_B64_to_D64

getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

getEigenvalue(int) - Method in class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

getEigenvalue(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

Returns the eigenvalue at the specified index.

getEigenvalue(int) - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

getEigenvalue(int) - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition_D64

getEigenvalues() - Method in interface org.ejml.alg.dense.decomposition.eig.EigenvalueExtractor

getEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

getEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue

getEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

getEigenVector() - Method in class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

getEigenVector(int) - Method in class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

getEigenVector(int) - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

getEigenVector(int) - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition_D64

getEigenvectors() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

getGamma(int) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

getGammas() - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

getGammas() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

getGammas() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

getGammas() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

getGammasU() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Returns gammas from the householder operations for the U matrix.

getGammasV() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Returns gammas from the householder operations for the V matrix.

getH(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

An upper Hessenberg matrix from the decompostion.

getImplicit() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

getImplicitQR() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue

getIndx() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

getL() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

Returns L matrix from the decomposition.
L*D*L^T=A

getL(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

getLower(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

Writes the lower triangular matrix into the specified matrix.

getLU() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

getMatrixSize() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

getMaxValue() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getNumberOfEigenvalues() - Method in interface org.ejml.alg.dense.decomposition.eig.EigenvalueExtractor

getNumberOfEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

getNumberOfEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

Returns the number of eigenvalues available.

getNumberOfEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

getNumberOfEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

getNumberOfEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue

getNumberOfEigenvalues() - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition_D64

getNumberOfSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getOff() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getPivot() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

getPivot(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

getPivotMatrix(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

getPivots() - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

getQ(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

getQ(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

getQ() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

getQ() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

getQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

An orthogonal matrix that has the following property: H = Q^TAQ

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecomposition_B64_to_D64

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

An orthogonal matrix that has the following property: T = Q^TAQ

getQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

An orthogonal matrix that has the following property: T = Q^TAQ

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

Computes the Q matrix from the information stored in the QR matrix.

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecomposition_B64_to_D64

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

Computes the Q matrix from the imformation stored in the QR matrix.

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Computes the Q matrix from the imformation stored in the QR matrix.

getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

Computes the Q matrix from the information stored in the QR matrix.

getQ() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

getQH() - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

The raw QH matrix that is stored internally.

getQR() - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

This is the input matrix after it has been overwritten with the decomposition.

getQR() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

Returns a single matrix which contains the combined values of Q and R.

getQR() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Returns the combined QR matrix in a 2D array format that is column major.

getQR() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

Inner matrix that stores the decomposition

getQT() - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

Returns the internal matrix where the decomposed results are stored.

getQT() - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

Returns the interal matrix where the decomposed results are stored.

getR(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

getR(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecomposition_B64_to_D64

getR(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

Returns an upper triangular matrix which is the R in the QR decomposition.

getR(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Returns an upper triangular matrix which is the R in the QR decomposition.

getR(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

Returns an upper triangular matrix which is the R in the QR decomposition.

getR() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

getRank() - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

getSingularValue(int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

getSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

getT(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.chol.CholeskyOuterForm_B64

getT(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecomposition_B64_to_D64

getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

getT() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

Returns the triangular matrix from the decomposition.

getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecomposition_B64_to_D64

getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

Extracts the tridiagonal matrix found in the decomposition.

getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

Extracts the tridiagonal matrix found in the decomposition.

getU(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Returns the orthogonal U matrix.

getU(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

getU(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

getU(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

getU_tran() - Method in class org.ejml.alg.dense.decomposition.qr.QrUpdate

getUBV() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

The raw UBV matrix that is stored internally.

getUpper(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

Writes the upper triangular matrix into the specified matrix.

getUt() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getV(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Returns the orthogonal V matrix.

getV(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

getV(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

getV(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

getVt() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

getW(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

getW(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

H

handleB(DenseMatrix64F, boolean, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

handleU(DenseMatrix64F, boolean, boolean, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

handleV(DenseMatrix64F, boolean, boolean, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

hasNaN(D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if any element in the matrix is NaN.

hasUncountable(D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if any element in the matrix is NaN of Infinite.

HessenbergSimilarDecomposition_D64 - Class in org.ejml.alg.dense.decomposition.hessenberg

Finds the decomposition of a matrix in the form of:

A = OHO^T

where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.

HessenbergSimilarDecomposition_D64(int) - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

Creates a decomposition that won't need to allocate new memory if it is passed matrices up to the specified size.

HessenbergSimilarDecomposition_D64() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

householder(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

Computes the householder vector "u" for the first column of submatrix j.

householder(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Computes the householder vector "u" for the first column of submatrix j.

householder(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

Computes the householder vector "u" for the first column of submatrix j.

householder(double, D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

Multiplies a householder reflection against a vector:

y = (I + γ u u^T)x

householderPivot(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

Computes the householder vector "u" for the first column of submatrix j.

householderSymmetric(int, double) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

Performs the householder operations on left and right and side of the matrix.

householderSymmetric(int, double) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

Performs the householder operations on left and right and side of the matrix.

I

I - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

identity(int, int, int) - Static method in class org.ejml.alg.block.BlockMatrixOps

Returns a new matrix with ones along the diagonal and zeros everywhere else.

identity(int) - Static method in class org.ejml.ops.CommonOps

Creates an identity matrix of the specified size.

a_ij = 0 if i ≠ j
a_ij = 1 if i = j

identity(int, int) - Static method in class org.ejml.ops.CommonOps

Creates a rectangular matrix which is zero except along the diagonals.

ImplCommonOps_DenseMatrix64F - Class in org.ejml.alg.dense.misc

Implementations of common ops routines for DenseMatrix64F.

ImplCommonOps_DenseMatrix64F() - Constructor for class org.ejml.alg.dense.misc.ImplCommonOps_DenseMatrix64F

ImplCommonOps_Matrix64F - Class in org.ejml.alg.dense.misc

Implementations of common ops routines for DenseMatrix64F.

ImplCommonOps_Matrix64F() - Constructor for class org.ejml.alg.dense.misc.ImplCommonOps_Matrix64F

implicitDoubleStep(int, int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

Performs an implicit double step using the values contained in the lower right hand side of the submatrix for the estimated eigenvector values.

improveSol(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

This attempts to improve upon the solution generated by account for numerical imprecisions.

incrementSteps() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

incrementSteps() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

incrementSteps() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

inducedP1(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Computes the induced p = 1 matrix norm.

||A||₁= max(j=1 to n; sum(i=1 to m; |a_ij|))

inducedP2(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Computes the induced p = 2 matrix norm, which is the largest singular value.

inducedPInf(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Induced matrix p = infinity norm.

||A||_∞ = max(i=1 to m; sum(j=1 to n; |a_ij|))

indx - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

init(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

Sets up internal data structures and creates a copy of the input matrix.

init(double[], double[], int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Sets up and declares internal data structures.

init(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

If needed declares and sets up internal data structures.

init(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

If needed declares and sets up internal data structures.

initializeQ(BlockMatrix64F, int, int, int, boolean) - Static method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

Sanity checks the input or declares a new matrix.

initializeW(int, D1Submatrix64F, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

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.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

inner_reorder(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMultProduct

inner_reorder_upper(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMultProduct

inner_small(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMultProduct

InnerCholesky_B64 - Class in org.ejml.alg.block.decomposition.chol

Performs a cholesky decomposition on an individual inner block.

InnerCholesky_B64() - Constructor for class org.ejml.alg.block.decomposition.chol.InnerCholesky_B64

innerProd(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

Computes the inner product of the two vectors.

innerProdA(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

return = x^T*A*y

innerProdCol(int, D1Submatrix64F, int, int, int, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes the inner product of column vector 'colA' against column vector 'colB' while taking account leading zeros and one.

ret = a^T*b

innerProdRow(int, D1Submatrix64F, int, D1Submatrix64F, int, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Computes the inner product of row vector 'rowA' against row vector 'rowB' while taking account leading zeros and one.

ret = a^T*b

innerProdRowSymm(int, D1Submatrix64F, int, D1Submatrix64F, int, int) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

innerProdTranA(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

x^TA^Ty

inputModified() - Method in class org.ejml.alg.block.decomposition.chol.CholeskyOuterForm_B64

inputModified() - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

inputModified() - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

The input matrix is always modified.

inputModified() - Method in class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

inputModified() - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

inputModified() - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

inputModified() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

insert(RealMatrix64F, RealMatrix64F, int, int) - Static method in class org.ejml.ops.CommonOps

Inserts matrix 'src' into matrix 'dest' with the (0,0) of src at (row,col) in dest.

internalSolver - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

inv(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

inv2(DenseMatrix64F, DenseMatrix64F, double) - Static method in class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

inv3(DenseMatrix64F, DenseMatrix64F, double) - Static method in class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

inv4(DenseMatrix64F, DenseMatrix64F, double) - Static method in class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

inv5(DenseMatrix64F, DenseMatrix64F, double) - Static method in class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

invert(int, boolean, D1Submatrix64F, D1Submatrix64F, double[]) - Static method in class org.ejml.alg.block.BlockTriangularSolver

Inverts an upper or lower triangular block submatrix.

invert(int, boolean, D1Submatrix64F, double[]) - Static method in class org.ejml.alg.block.BlockTriangularSolver

Inverts an upper or lower triangular block submatrix.

invert(BlockMatrix64F) - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

invert(BlockMatrix64F) - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

Invert by solving for against an identity matrix.

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.

invert(LinearSolver<DenseMatrix64F>, RowD1Matrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.linsol.InvertUsingSolve

invert(LinearSolver<DenseMatrix64F>, RowD1Matrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.linsol.InvertUsingSolve

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

Creates a block matrix the same size as A_inv, inverts the matrix and copies the results back onto A_inv.

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

invert(FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix.

a = a^-1

invert(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.

invert(DenseMatrix64F) - Static method in class org.ejml.ops.CovarianceOps

Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.

invert(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CovarianceOps

Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.

invertLower(double[], double[], int, int, int) - Static method in class org.ejml.alg.block.BlockInnerTriangularSolver

Inverts a square lower triangular matrix: L = L^-1

invertLower(double[], int, int) - Static method in class org.ejml.alg.block.BlockInnerTriangularSolver

Inverts a square lower triangular matrix: L = L^-1

invertLower(double[], int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

Inverts a square lower triangular matrix: L = L^-1

invertLower(double[], double[], int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

InvertUsingSolve - Class in org.ejml.alg.dense.linsol

A matrix can be easily inverted by solving a system with an identify matrix.

InvertUsingSolve() - Constructor for class org.ejml.alg.dense.linsol.InvertUsingSolve

isCompact() - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

isCompact() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

isConstantVal(DenseMatrix64F, double, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if every value in the matrix is the specified value.

isDiagonalPositive(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if all the diagonal elements in the matrix are positive.

isDiagonalZero(int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

isEquals(BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

isEquals(BlockMatrix64F, BlockMatrix64F, double) - Static method in class org.ejml.alg.block.BlockMatrixOps

isEquals(D1Matrix64F, D1Matrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if each element in the two matrices are within tolerance of each other: tol ≥ |a_ij - b_ij|.

isEquals(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if each element in the two matrices are equal: a_ij == b_ij

isEqualsTriangle(RealMatrix64F, RealMatrix64F, boolean, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if each element in the upper or lower triangular portion of the two matrices are within tolerance of each other: tol ≥ |a_ij - b_ij|.

isEquivalent(RealMatrix64F, RealMatrix64F, double) - Static method in class org.ejml.alg.generic.GenericMatrixOps

isEquivalentTriangle(boolean, RealMatrix64F, RealMatrix64F, double) - Static method in class org.ejml.alg.generic.GenericMatrixOps

isFullRank(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

isIdentical(D1Matrix64F, D1Matrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if each corresponding element in the two matrices are within tolerance of each other or have the some symbolic meaning.

isIdentity(RealMatrix64F, double) - Static method in class org.ejml.alg.generic.GenericMatrixOps

Returns true if the provided matrix is has a value of 1 along the diagonal elements and zero along all the other elements.

isIdentity(DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the provided matrix is within tolerance to an identity matrix.

isInverse(DenseMatrix64F, DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the two matrices are inverses of each other.

isLower() - Method in class org.ejml.alg.block.decomposition.chol.CholeskyOuterForm_B64

isLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecomposition_B64_to_D64

isLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

If true the decomposition was for a lower triangular matrix.

isNegative(D1Matrix64F, D1Matrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the two matrices are the negative of each other:

a_ij = -b_ij

isOffZero(int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

isOrthogonal(DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if a matrix is orthogonal or isometric.

isPositiveDefinite(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the matrix is positive definite.

isPositiveSemidefinite(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the matrix is positive semidefinite:

isReal2x2(int, int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

isRowsLinearIndependent(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the rows of the provided matrix are linearly independent.

isSingular() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

Determines if the decomposed matrix is singular.

isSkewSymmetric(DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if a matrix is skew symmetric with in tolerance:

-A = A^T
or
|a_ij + a_ji| ≤ tol

isSquare(D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if it is a square matrix.

isSymmetric(DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Returns true if the matrix is symmetric within the tolerance.

isSymmetric(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Returns true if the matrix is perfectly symmetric.

isUpperTriangle(DenseMatrix64F, int, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if a matrix is upper triangular or Hessenberg.

isValid(DenseMatrix64F) - Static method in class org.ejml.ops.CovarianceOps

Performs a variety of tests to see if the provided matrix is a valid covariance matrix.

isValidFast(DenseMatrix64F) - Static method in class org.ejml.ops.CovarianceOps

This is a fairly light weight check to see of a covariance matrix is valid.

isVector(Matrix) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see if the matrix is a vector or not.

isZero(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Checks to see if the specified off diagonal element is zero using a relative metric.

isZero(int, int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

isZeros(D1Matrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Checks to see all the elements in the matrix are zeros

K

kron(DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

The Kronecker product of two matrices is defined as:
C_ij = a_ijB
where C_ij 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.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

leastSquares(int, int) - Static method in class org.ejml.factory.LinearSolverFactory

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.factory.LinearSolverFactory

Linear solver which uses QR pivot decomposition.

linear(int) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a solver for linear systems.

LinearSolver_B64_to_D64 - Class in org.ejml.alg.dense.linsol

Wrapper that allows to implements LinearSolver.

LinearSolver_B64_to_D64(LinearSolver<BlockMatrix64F>) - Constructor for class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

LinearSolverAbstract_D64 - Class in org.ejml.alg.dense.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_D64() - Constructor for class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

LinearSolverChol_B64 - Class in org.ejml.alg.dense.linsol.chol

A wrapper around CholeskyDecomposition(BlockMatrix64F) that allows it to be easily used with DenseMatrix64F.

LinearSolverChol_B64() - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverChol_B64

LinearSolverChol_D64 - Class in org.ejml.alg.dense.linsol.chol

LinearSolverChol_D64(CholeskyDecompositionCommon_D64) - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

LinearSolverCholLDL_D64 - Class in org.ejml.alg.dense.linsol.chol

LinearSolverCholLDL_D64(CholeskyDecompositionLDL_D64) - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

LinearSolverCholLDL_D64() - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

LinearSolverFactory - Class in org.ejml.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() - Constructor for class org.ejml.factory.LinearSolverFactory

LinearSolverLu_D64 - Class in org.ejml.alg.dense.linsol.lu

For each column in the B matrix it makes a copy, which is then solved for and writen into X.

LinearSolverLu_D64(LUDecompositionBase_D64) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLu_D64

LinearSolverLu_D64(LUDecompositionBase_D64, boolean) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLu_D64

LinearSolverLuBase_D64 - Class in org.ejml.alg.dense.linsol.lu

LinearSolverLuBase_D64(LUDecompositionBase_D64) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

LinearSolverLuKJI_D64 - Class in org.ejml.alg.dense.linsol.lu

To avoid cpu cache issues the order in which the arrays are traversed have been changed.

LinearSolverLuKJI_D64(LUDecompositionBase_D64) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLuKJI_D64

LinearSolverQr_D64 - Class in org.ejml.alg.dense.linsol.qr

A solver for a generic QR decomposition algorithm.

LinearSolverQr_D64(QRDecomposition<DenseMatrix64F>) - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

Creates a linear solver that uses QR decomposition.

LinearSolverQrBlock64_D64 - Class in org.ejml.alg.dense.linsol.qr

Wrapper around BlockQrHouseHolderSolver that allows it to process DenseMatrix64F.

LinearSolverQrBlock64_D64() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrBlock64_D64

LinearSolverQrHouse_D64 - Class in org.ejml.alg.dense.linsol.qr

QR decomposition can be used to solve for systems.

LinearSolverQrHouse_D64() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

Creates a linear solver that uses QR decomposition.

LinearSolverQrHouseCol_D64 - Class in org.ejml.alg.dense.linsol.qr

QR decomposition can be used to solve for systems.

LinearSolverQrHouseCol_D64() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

Creates a linear solver that uses QR decomposition.

LinearSolverQrHouseTran_D64 - Class in org.ejml.alg.dense.linsol.qr

QR decomposition can be used to solve for systems.

LinearSolverQrHouseTran_D64() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

Creates a linear solver that uses QR decomposition.

LinearSolverQrpHouseCol_D64 - Class in org.ejml.alg.dense.linsol.qr

Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn_D64 decomposition directly.

LinearSolverQrpHouseCol_D64(QRColPivDecompositionHouseholderColumn_D64, boolean) - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol_D64

LinearSolverUnrolled - Class in org.ejml.alg.dense.linsol

Solver which uses an unrolled inverse to compute the inverse.

LinearSolverUnrolled() - Constructor for class org.ejml.alg.dense.linsol.LinearSolverUnrolled

lower(D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.chol.InnerCholesky_B64

lower(double[], int, int) - Static method in class org.ejml.alg.block.decomposition.chol.InnerCholesky_B64

Performs an inline lower Cholesky decomposition on an inner row-major matrix.

lower - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

LU - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

lu(int, int) - Static method in class org.ejml.factory.DecompositionFactory

Returns a LUDecomposition that has been optimized for the specified matrix size.

lu(int) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a linear solver using LU decomposition

LUDecompositionAlt_D64 - Class in org.ejml.alg.dense.decomposition.lu

An LU decomposition algorithm that originally came from Jama.

LUDecompositionAlt_D64() - Constructor for class org.ejml.alg.dense.decomposition.lu.LUDecompositionAlt_D64

LUDecompositionBase_D64 - Class in org.ejml.alg.dense.decomposition.lu

Contains common data structures and operations for LU decomposition algorithms.

LUDecompositionBase_D64() - Constructor for class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

M

m - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

main(String[]) - Static method in class org.ejml.alg.block.GeneratorBlockInnerMultiplication

MatrixComponent - Class in org.ejml.ops

Renders a matrix as an image.

MatrixComponent(int, int) - Constructor for class org.ejml.ops.MatrixComponent

MatrixFeatures - Class in org.ejml.ops

Used to compute features that describe the structure of a matrix.

MatrixFeatures() - Constructor for class org.ejml.ops.MatrixFeatures

MatrixMatrixMult - Class in org.ejml.alg.dense.mult

This class contains various types of matrix matrix multiplication operations for RowD1Matrix64F.

MatrixMatrixMult() - Constructor for class org.ejml.alg.dense.mult.MatrixMatrixMult

MatrixMultProduct - Class in org.ejml.alg.dense.mult

Specialized operations for performing inner and outer products for matrices.

MatrixMultProduct() - Constructor for class org.ejml.alg.dense.mult.MatrixMultProduct

MatrixVectorMult - Class in org.ejml.alg.dense.mult

This class contains various types of matrix vector multiplcation operations for DenseMatrix64F.

MatrixVectorMult() - Constructor for class org.ejml.alg.dense.mult.MatrixVectorMult

MatrixVisualization - Class in org.ejml.ops

Functions for visualizing matrices in a GUI matrices.

MatrixVisualization() - Constructor for class org.ejml.ops.MatrixVisualization

MAX - Static variable in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

MAX - Static variable in class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

maxAbs - Variable in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

maxCols - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

maxCols - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

maxCols - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

maxRows - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

maxRows - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

maxRows - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

maxValue - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

maxWidth - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

maxWidth - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

minLength - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

minLength - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

minLength - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

modifiesA() - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

modifiesA() - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

modifiesA() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

modifiesA() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp_D64

modifiesA() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

modifiesB() - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

modifiesB() - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

modifiesB() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

modifiesB() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp_D64

modifiesB() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

mult(BlockMatrix64F, BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

mult(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

Performs a matrix multiplication on BlockMatrix64F submatrices.

c = a * b

mult(RowD1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixVectorMult

Performs a matrix vector multiply.

c = A * b
and
c = A * b^T

c_i = Sum{ j=1:n, a_ij * b_j}

where A is a matrix, b is a column or transposed row vector, and c is a column vector.

mult(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(FixedMatrix2x2_64F, FixedMatrix2_64F, FixedMatrix2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(FixedMatrix2_64F, FixedMatrix2x2_64F, FixedMatrix2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(FixedMatrix3x3_64F, FixedMatrix3_64F, FixedMatrix3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(FixedMatrix3_64F, FixedMatrix3x3_64F, FixedMatrix3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(FixedMatrix4x4_64F, FixedMatrix4_64F, FixedMatrix4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(FixedMatrix4_64F, FixedMatrix4x4_64F, FixedMatrix4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(FixedMatrix5x5_64F, FixedMatrix5_64F, FixedMatrix5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(FixedMatrix5_64F, FixedMatrix5x5_64F, FixedMatrix5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(FixedMatrix6x6_64F, FixedMatrix6_64F, FixedMatrix6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(FixedMatrix6_64F, FixedMatrix6x6_64F, FixedMatrix6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { * a_ik * b_kj}

mult_aux(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

mult_aux(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

mult_reorder(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

mult_reorder(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

mult_small(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

mult_small(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multA_u(int, D1Submatrix64F, D1Submatrix64F, int) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

Multiples the appropriate submatrix of A by the specified reflector and stores the result ('y') in V.

y = A*u

multAdd(RowD1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixVectorMult

Performs a matrix vector multiply.

C = C + A * B
or
C = C + A * B^T

c_i = Sum{ j=1:n, c_i + a_ij * b_j}

where A is a matrix, B is a column or transposed row vector, and C is a column vector.

multAdd(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + a * b
c_ij = c_ij + ∑_k=1:n { a_ik * b_kj}

multAdd(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + α * a * b
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_kj}

multAdd_aux(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAdd_aux(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAdd_reorder(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAdd_reorder(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAdd_small(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAdd_small(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAdd_zeros(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Special multiplication that takes in account the zeros and one in Y, which is the matrix that stores the householder vectors.

multAddTransA(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + a^T * b
c_ij = c_ij + ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + α * a^T * b
c_ij =c_ij + α * ∑_k=1:n { a_ki * b_kj}

multAddTransA_reorder(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransA_reorder(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransA_reorder(RowD1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixVectorMult

An alternative implementation of MatrixVectorMult.multAddTransA_small(org.ejml.data.RowD1Matrix64F, org.ejml.data.D1Matrix64F, org.ejml.data.D1Matrix64F) that performs well on large matrices.

multAddTransA_small(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransA_small(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransA_small(RowD1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixVectorMult

Performs a matrix vector multiply.

C = C + A^T * B
or
C = C^T + A^T * B^T

c_i = Sum{ j=1:n, c_i + a_ji * b_j}

where A is a matrix, B is a column or transposed row vector, and C is a column vector.

multAddTransAB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransAB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransAB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + a^T * b^T
c_ij = c_ij + ∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + α * a^T * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ki * b_jk}

multAddTransAB_aux(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransAB_aux(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multAddTransB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + a * b^T
c_ij = c_ij + ∑_k=1:n { a_ik * b_jk}

multAddTransB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = c + α * a * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_jk}

multBlockAdd_zerosone(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

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(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the matrix multiplication inner product:

c = a^T * a

c_ij = ∑_k=1:n { a_ki * a_kj}

multMinus(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

Performs a matrix multiplication on BlockMatrix64F submatrices.

c = c - a * b

multMinusTransA(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

multOuter(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the matrix multiplication outer product:

c = a * a^T

c_ij = ∑_k=1:m { a_ik * a_jk}

multPlus(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

Performs a matrix multiplication on BlockMatrix64F submatrices.

c = c + a * b

multPlusTransA(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

multPlusTransA(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

C = C + A^T*B

multTransA(BlockMatrix64F, BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

multTransA(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

Performs a matrix multiplication with a transpose on BlockMatrix64F submatrices.

c = a^T * b

multTransA(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = α * a^T * b

c_ij = α ∑_k=1:n { a_ki * b_kj}

multTransA_reorder(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransA_reorder(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransA_reorder(RowD1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixVectorMult

An alternative implementation of MatrixVectorMult.multTransA_small(org.ejml.data.RowD1Matrix64F, org.ejml.data.D1Matrix64F, org.ejml.data.D1Matrix64F) that performs well on large matrices.

multTransA_small(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransA_small(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransA_small(RowD1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixVectorMult

Performs a matrix vector multiply.

C = A^T * B
where B is a column vector.
or
C = A^T * B^T
where B is a row vector.

multTransA_vecCol(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Performs a matrix multiplication on the block aligned submatrices.

multTransAB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransAB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransAB(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = α * a^T * b^T
c_ij = α ∑_k=1:n { a_ki * b_jk}

multTransAB_aux(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransAB_aux(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F, double[]) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransABlockMinus(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

Performs the following operation on a block:

c = c - a^Ta

multTransABlockMinus_U(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

Performs the following operation on the upper triangular portion of a block:

c = c - a^Ta

multTransABlockSet_lowerTriag(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

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(BlockMatrix64F, BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

multTransB(int, D1Submatrix64F, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockMultiplication

Performs a matrix multiplication with a transpose on BlockMatrix64F submatrices.

c = a * b ^T

multTransB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMatrixMult

multTransB(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(double, RowD1Matrix64F, RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following operation:

c = α * a * b^T
c_ij = α ∑_k=1:n { a_ik * b_jk}

multTransBBlockMinus(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

Performs the following operation on a block:

c = c - a*a^T

multTransBBlockMinus_L(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

Performs the following operation on the lower triangular portion of a block:

c = c - a*a^T

N

n - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

N - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

n - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

N - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

next(DenseMatrix64F) - Method in class org.ejml.ops.CovarianceRandomDraw

Makes a draw on the distribution.

nextExceptional - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

nextSplit() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Tells it to process the submatrix at the next split.

nextSplit() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Tells it to process the submatrix at the next split.

norm2Solution - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

normalizeF(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Normalizes the matrix such that the Frobenius norm is equal to one.

normF(D1Matrix64F) - Static method in class org.ejml.ops.NormOps

Computes the Frobenius matrix norm:

normF = Sqrt{ ∑_i=1:m ∑_j=1:n { a_ij²} }

NormOps - Class in org.ejml.ops

Norms are a measure of the size of a vector or a matrix.

NormOps() - Constructor for class org.ejml.ops.NormOps

normP(DenseMatrix64F, double) - Static method in class org.ejml.ops.NormOps

Computes either the vector p-norm or the induced matrix p-norm depending on A being a vector or a matrix respectively.

normP1(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Computes the p=1 norm.

normP2(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Computes the p=2 norm.

normPInf(DenseMatrix64F) - Static method in class org.ejml.ops.NormOps

Computes the p=∞ norm.

normsCol - Variable in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

nullity(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Computes the nullity of a matrix using the default tolerance.

nullity(DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Computes the nullity of a matrix using the specified tolerance.

nullity(SingularValueDecomposition) - Static method in class org.ejml.ops.SingularOps

Extracts the nullity of a matrix using a preexisting decomposition and default threshold.

nullity(SingularValueDecomposition, double) - Static method in class org.ejml.ops.SingularOps

Extracts the nullity of a matrix using a preexisting decomposition.

nullSpace(SingularValueDecomposition<DenseMatrix64F>, DenseMatrix64F, double) - Static method in class org.ejml.ops.SingularOps

Returns the null-space from the singular value decomposition.

nullVector(SingularValueDecomposition<DenseMatrix64F>, boolean, DenseMatrix64F) - Static method in class org.ejml.ops.SingularOps

The vector associated will the smallest singular value is returned as the null space of the decomposed system.

numberOfSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

numberOfSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

numCols - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

numCols - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

numCols - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

numCols() - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

numCols() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

numCols - Variable in class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

numExceptional - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

numExceptional - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

numRows - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

numRows - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

numRows - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

numRows() - Method in class org.ejml.alg.dense.decomposition.svd.SafeSvd

numRows() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

numRows - Variable in class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

numSplits - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

numSplits - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

O

off - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

off - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

org.ejml.alg.block - package org.ejml.alg.block

org.ejml.alg.block.decomposition.bidiagonal - package org.ejml.alg.block.decomposition.bidiagonal

org.ejml.alg.block.decomposition.chol - package org.ejml.alg.block.decomposition.chol

org.ejml.alg.block.decomposition.hessenberg - package org.ejml.alg.block.decomposition.hessenberg

org.ejml.alg.block.decomposition.qr - package org.ejml.alg.block.decomposition.qr

org.ejml.alg.block.linsol.chol - package org.ejml.alg.block.linsol.chol

org.ejml.alg.block.linsol.qr - package org.ejml.alg.block.linsol.qr

org.ejml.alg.dense.decomposition - package org.ejml.alg.dense.decomposition

org.ejml.alg.dense.decomposition.bidiagonal - package org.ejml.alg.dense.decomposition.bidiagonal

org.ejml.alg.dense.decomposition.chol - package org.ejml.alg.dense.decomposition.chol

org.ejml.alg.dense.decomposition.eig - package org.ejml.alg.dense.decomposition.eig

org.ejml.alg.dense.decomposition.eig.symm - package org.ejml.alg.dense.decomposition.eig.symm

org.ejml.alg.dense.decomposition.eig.watched - package org.ejml.alg.dense.decomposition.eig.watched

org.ejml.alg.dense.decomposition.hessenberg - package org.ejml.alg.dense.decomposition.hessenberg

org.ejml.alg.dense.decomposition.lu - package org.ejml.alg.dense.decomposition.lu

org.ejml.alg.dense.decomposition.qr - package org.ejml.alg.dense.decomposition.qr

org.ejml.alg.dense.decomposition.svd - package org.ejml.alg.dense.decomposition.svd

org.ejml.alg.dense.decomposition.svd.implicitqr - package org.ejml.alg.dense.decomposition.svd.implicitqr

org.ejml.alg.dense.linsol - package org.ejml.alg.dense.linsol

org.ejml.alg.dense.linsol.chol - package org.ejml.alg.dense.linsol.chol

org.ejml.alg.dense.linsol.lu - package org.ejml.alg.dense.linsol.lu

org.ejml.alg.dense.linsol.qr - package org.ejml.alg.dense.linsol.qr

org.ejml.alg.dense.linsol.svd - package org.ejml.alg.dense.linsol.svd

org.ejml.alg.dense.misc - package org.ejml.alg.dense.misc

org.ejml.alg.dense.mult - package org.ejml.alg.dense.mult

org.ejml.alg.fixed - package org.ejml.alg.fixed

org.ejml.alg.generic - package org.ejml.alg.generic

org.ejml.factory - package org.ejml.factory

org.ejml.ops - package org.ejml.ops

outer(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.MatrixMultProduct

outerProd(D1Matrix64F, D1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

Sets A ∈ ℜ ^{m × n} equal to an outer product multiplication of the two vectors.

P

paint(Graphics) - Method in class org.ejml.ops.MatrixComponent

performImplicitDoubleStep(int, int, double, double) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

Performs an implicit double step given the set of two imaginary eigenvalues provided.

performImplicitSingleStep(double, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

performImplicitSingleStep(int, int, double) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

performImplicitSingleStep(double, double, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Given the lambda value perform an implicit QR step on the matrix.

performStep() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

First looks for zeros and then performs the implicit single step in the QR Algorithm.

pinv(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the Moore-Penrose pseudo-inverse:

pinv(A) = (A^TA)^-1 A^T
or
pinv(A) = A^T(AA^T)^-1

pivot - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

pivotMatrix(DenseMatrix64F, int[], int, boolean) - Static method in class org.ejml.ops.SpecializedOps

Creates a pivot matrix that exchanges the rows in a matrix:
A' = P*A

pivots - Variable in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

pivsign - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

printMatrix() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

printMatrix() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

printSteps() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

process(DenseMatrix64F) - Method in interface org.ejml.alg.dense.decomposition.eig.EigenvalueExtractor

process(int, double[], double[], double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

Computes the eigenvalue of the provided tridiagonal matrix.

process(int, double[], double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

process(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue

process(WatchedDoubleStepQREigen, DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

process() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

process(double[]) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Perform a sequence of steps based off of the singular values provided.

pseudoInverse(boolean) - Static method in class org.ejml.factory.LinearSolverFactory

Returns a solver which uses the pseudo inverse.

Q

Q - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Q - Variable in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

Q - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

QR - Variable in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

QR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

Where the Q and R matrices are stored.

QR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

Where the Q and R matrices are stored.

qr(int, int) - Static method in class org.ejml.factory.DecompositionFactory

Returns a QRDecomposition that has been optimized for the specified matrix size.

qr(int, int) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a linear solver using QR decomposition

QRColPivDecompositionHouseholderColumn_D64 - Class in org.ejml.alg.dense.decomposition.qr

Performs QR decomposition with column pivoting.

QRColPivDecompositionHouseholderColumn_D64(double) - Constructor for class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

Configure parameters.

QRColPivDecompositionHouseholderColumn_D64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

QRDecomposition_B64_to_D64 - Class in org.ejml.alg.dense.decomposition.qr

Wrapper that allows QRDecomposition(BlockMatrix64F) to be used as a QRDecomposition(DenseMatrix64F).

QRDecomposition_B64_to_D64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecomposition_B64_to_D64

QRDecompositionHouseholder_B64 - Class in org.ejml.alg.block.decomposition.qr

QR decomposition for BlockMatrix64F using householder reflectors.

QRDecompositionHouseholder_B64() - Constructor for class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

QRDecompositionHouseholder_D64 - Class in org.ejml.alg.dense.decomposition.qr

This variation of QR decomposition uses reflections to compute the Q matrix.

QRDecompositionHouseholder_D64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

QRDecompositionHouseholderColumn_D64 - Class in org.ejml.alg.dense.decomposition.qr

Householder QR decomposition is rich in operations along the columns of the matrix.

QRDecompositionHouseholderColumn_D64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

QRDecompositionHouseholderTran_D64 - Class in org.ejml.alg.dense.decomposition.qr

Householder QR decomposition is rich in operations along the columns of the matrix.

QRDecompositionHouseholderTran_D64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

QrHelperFunctions_D64 - Class in org.ejml.alg.dense.decomposition.qr

Contains different functions that are useful for computing the QR decomposition of a matrix.

QrHelperFunctions_D64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

qrp(int, int) - Static method in class org.ejml.factory.DecompositionFactory

Returns a QRPDecomposition that has been optimized for the specified matrix size.

qrp(boolean, boolean) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a linear solver using QRP decomposition

QrUpdate - Class in org.ejml.alg.dense.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(int, int) - Constructor for class org.ejml.alg.dense.decomposition.qr.QrUpdate

Creates an update which can decompose matrices up to the specified size.

QrUpdate(int, int, boolean) - Constructor for class org.ejml.alg.dense.decomposition.qr.QrUpdate

Creates an update which can decompose matrices up to the specified size.

QrUpdate() - Constructor for class org.ejml.alg.dense.decomposition.qr.QrUpdate

Does not predeclare data and it will autogrow.

quality() - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

quality() - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

Computes the quality using diagonal elements the triangular R matrix in the QR decomposition.

quality() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

quality() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

quality() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

quality() - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

quality() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

quality() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

quality() - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

quality() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

quality(DenseMatrix64F, SingularValueDecomposition<DenseMatrix64F>) - Static method in class org.ejml.factory.DecompositionFactory

Computes a metric which measures the the quality of a singular value decomposition.

quality(DenseMatrix64F, DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.factory.DecompositionFactory

quality(DenseMatrix64F, EigenDecomposition<DenseMatrix64F>) - Static method in class org.ejml.factory.DecompositionFactory

Computes a metric which measures the the quality of an eigen value decomposition.

qualityTriangular(D1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

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.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

R - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

R11 - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

rand - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

rand - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

RandomMatrices - Class in org.ejml.ops

Contains a list of functions for creating random dense real matrices and vectors with different structures.

RandomMatrices() - Constructor for class org.ejml.ops.RandomMatrices

randomVector(DenseMatrix64F, DenseMatrix64F, Random) - Static method in class org.ejml.ops.CovarianceOps

Sets vector to a random value based upon a zero-mean multivariate Gaussian distribution with covariance 'cov'.

rank - Variable in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

rank - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

rank(DenseMatrix64F) - Static method in class org.ejml.ops.MatrixFeatures

Computes the rank of a matrix using a default tolerance.

rank(DenseMatrix64F, double) - Static method in class org.ejml.ops.MatrixFeatures

Computes the rank of a matrix using the specified tolerance.

rank(SingularValueDecomposition) - Static method in class org.ejml.ops.SingularOps

Extracts the rank of a matrix using a preexisting decomposition and default threshold.

rank(SingularValueDecomposition, double) - Static method in class org.ejml.ops.SingularOps

Extracts the rank of a matrix using a preexisting decomposition.

rank1Update(double, DenseMatrix64F, DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

Performs a rank one update on matrix A using vectors u and w.

rank1Update(double, DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult

Performs a rank one update on matrix A using vectors u and w.

rank1UpdateMultL(DenseMatrix64F, double[], double, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

Performs a rank-1 update operation on the submatrix specified by w with the multiply on the left.

A = A(I - γ*u*u^T)

rank1UpdateMultL_LeftCol(int, D1Submatrix64F, int, double, int) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Applies a householder reflector stored in row 'row' to the left column block.

rank1UpdateMultL_Row(int, D1Submatrix64F, int, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Applies a householder reflector stored in row 'row' to the remainder of the row in the block after it.

rank1UpdateMultR(DenseMatrix64F, double[], double, int, int, int, double[]) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right.

A = (I - γ*u*u^T)*A

rank1UpdateMultR(DenseMatrix64F, double[], int, double, int, int, int, double[]) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions_D64

rank1UpdateMultR_Col(int, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Applies a householder reflector stored in column 'col' to the remainder of the columns in the block after it.

rank1UpdateMultR_TopRow(int, D1Submatrix64F, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Applies a householder reflector stored in column 'col' to the top block row (excluding the first column) of A.

rankNUpdate(int, double, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

Performs:

A = A + α B ^TB

reduce(DenseMatrix64F, int) - Method in class org.ejml.alg.dense.misc.RrefGaussJordanRowPivot

removeBulge(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

removeBulgeEnd(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Rotator to remove the bulge

removeBulgeLeft(int, boolean) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

removeBulgeRight(int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

removeRowFromA(int) - Method in interface org.ejml.alg.dense.linsol.AdjustableLinearSolver

Removes a row from A.

removeRowFromA(int) - Method in class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr_D64

renderMatrix(D1Matrix64F, BufferedImage, double) - Static method in class org.ejml.ops.MatrixComponent

reset(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

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.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

resetSteps() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

rowsToVector(DenseMatrix64F, DenseMatrix64F[]) - Static method in class org.ejml.ops.CommonOps

Converts the rows in a matrix into a set of vectors.

rref(DenseMatrix64F, int, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.

RrefGaussJordanRowPivot - Class in org.ejml.alg.dense.misc

Reduction to RREF using Gauss-Jordan elimination with row (partial) pivots.

RrefGaussJordanRowPivot() - Constructor for class org.ejml.alg.dense.misc.RrefGaussJordanRowPivot

S

SafeSvd - Class in org.ejml.alg.dense.decomposition.svd

Wraps around a SingularValueDecomposition and ensures that the input is not modified.

SafeSvd(SingularValueDecomposition<DenseMatrix64F>) - Constructor for class org.ejml.alg.dense.decomposition.svd.SafeSvd

scale(double, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale_row(int, D1Submatrix64F, int, double, D1Submatrix64F, int, int, int) - Static method in class org.ejml.alg.block.BlockVectorOps

Row vector scale:
scale: b_i = α*a_i
where 'a' and 'b' are row vectors within the row block vector A and B.

scale_row(int, D1Submatrix64F, D1Submatrix64F, int, int, double) - Static method in class org.ejml.alg.block.decomposition.qr.BlockHouseHolder

Scales the elements in the specified row starting at element colStart by 'val'.
W = val*Y Takes in account zeros and leading one automatically.

selectWilkinsonShift(double) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Selects the Wilkinson's shift for B^TB.

set(BlockMatrix64F, double) - Static method in class org.ejml.alg.block.BlockMatrixOps

Sets every element in the matrix to the specified value.

a_ij = value

setA(BlockMatrix64F) - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

Decomposes and overwrites the input matrix.

setA(BlockMatrix64F) - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

Computes the QR decomposition of A and store the results in A.

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

Converts 'A' into a block matrix and call setA() on the block matrix solver.

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase_D64

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuKJI_D64

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

Performs QR decomposition on A

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

Performs QR decomposition on A

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

Performs QR decomposition on A

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

Performs QR decomposition on A

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp_D64

setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

setChecks(boolean, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

setComputeVectorsWithValues(boolean) - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock_D64

Declares additional internal data structures.

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

setFastEigenvalues(boolean) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

setFastValues(boolean) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

setGaussian(D1Matrix64F, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation

setIdentity(BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Sets the value of A to all zeros except along the diagonal.

setIdentity(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Sets all the diagonal elements equal to one and everything else equal to zero.

setMatrix(int, int, double[], double[]) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

setMatrix(D1Matrix64F) - Method in class org.ejml.ops.MatrixComponent

setMaxIterations(int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

setMaxIterations(int) - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

Used to limit the number of internal QR iterations that the QR algorithm performs.

setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr_D64

setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

Changes the size of the matrix it can solve for

setMaxSize(int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

setMaxValue(double) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

setOptions(int, double) - Method in class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

setQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

setQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

setQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

setRandom(RealMatrix64F, double, double, Random) - Static method in class org.ejml.alg.generic.GenericMatrixOps

setRandom(DenseMatrix64F, Random) - Static method in class org.ejml.ops.RandomMatrices

Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.

setRandom(D1Matrix64F, double, double, Random) - Static method in class org.ejml.ops.RandomMatrices

Sets each element in the matrix to a value drawn from an uniform distribution from 'min' to 'max' inclusive.

setSaveW(boolean) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

Sets if it should internally save the W matrix before performing the decomposition.

setSeed(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.EigenPowerMethod

Sets the value of the vector to use in the start of the iterations.

setSingularThreshold(double) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

setSubmatrix(int, int) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Sets which submatrix is being processed.

setSubmatrix(int, int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

setSubMatrix(RowD1Matrix64F, RowD1Matrix64F, int, int, int, int, int, int) - Static method in class org.ejml.alg.dense.mult.SubmatrixOps

setThreshold(double) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

Specify the relative threshold used to select singular values.

setToInverseL(double[]) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

Sets the matrix to the inverse using a lower triangular matrix.

setTolerance(double) - Method in class org.ejml.alg.dense.misc.RrefGaussJordanRowPivot

setup(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

setup(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue

setUt(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

setVt(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

show(D1Matrix64F, String) - Static method in class org.ejml.ops.MatrixVisualization

Creates a window visually showing the matrix's state.

SingularMatrixException - Exception in org.ejml.factory

This exception is thrown if an operation can not be finished because the matrix is singular.

SingularMatrixException() - Constructor for exception org.ejml.factory.SingularMatrixException

SingularMatrixException(String) - Constructor for exception org.ejml.factory.SingularMatrixException

SingularOps - Class in org.ejml.ops

Operations related to singular value decomposition.

SingularOps() - Constructor for class org.ejml.ops.SingularOps

singularThreshold - Variable in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn_D64

singularThreshold(SingularValueDecomposition) - Static method in class org.ejml.ops.SingularOps

Returns a reasonable threshold for singular values.

tol = max (size (A)) * largest sigma * eps;

solve(int, boolean, D1Submatrix64F, D1Submatrix64F, boolean) - Static method in class org.ejml.alg.block.BlockTriangularSolver

Performs an in-place solve operation on the provided block aligned sub-matrices.

B = T^-1 B

where T is a triangular matrix.

solve(BlockMatrix64F, BlockMatrix64F) - Method in class org.ejml.alg.block.linsol.chol.BlockCholeskyOuterSolver

If X == null then the solution is written into B.

solve(BlockMatrix64F, BlockMatrix64F) - Method in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_B64

Only converts the B matrix and passes that onto solve.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol_D64

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(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL_D64

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(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolver_B64_to_D64

Converts B and X into block matrices and calls the block matrix solve routine.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLu_D64

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuKJI_D64

An other implementation of solve() that processes the matrices in a different order.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr_D64

Solves for X using the QR decomposition.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse_D64

Solves for X using the QR decomposition.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol_D64

Solves for X using the QR decomposition.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran_D64

Solves for X using the QR decomposition.

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol_D64

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp_D64

solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

solve(DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Solves for x in the following equation:

A*x = b

solveBlock(int, boolean, D1Submatrix64F, D1Submatrix64F, boolean, boolean) - Static method in class org.ejml.alg.block.BlockTriangularSolver

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.alg.block.BlockInnerTriangularSolver

Solves for non-singular lower triangular matrices using forward substitution.

solveL(int, D1Submatrix64F, D1Submatrix64F, boolean) - Static method in class org.ejml.alg.block.BlockTriangularSolver

Solves lower triangular systems:

B = L^-1 B

solveL(double[], double[], int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

Solves for non-singular lower triangular matrices using forward substitution.

solveL(double[], double[], int, int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

L is a m by m matrix B is a m by n matrix

solveL_special(double[], DenseMatrix64F, int, int, DenseMatrix64F) - Static method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock_D64

This is a variation on the TriangularSolver.solveL(double[], double[], int) function.

solveLTransB(double[], double[], int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerTriangularSolver

Solves for non-singular lower triangular matrices using forward substitution.

SolvePseudoInverseQrp_D64 - Class in org.ejml.alg.dense.linsol.qr

A pseudo inverse solver for a generic QR column pivot decomposition algorithm.

SolvePseudoInverseQrp_D64(QRPDecomposition<DenseMatrix64F>, boolean) - Constructor for class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp_D64

Configure and provide decomposition

SolvePseudoInverseSvd - Class in org.ejml.alg.dense.linsol.svd

The pseudo-inverse is typically used to solve over determined system for which there is no unique solution.
x=inv(A^TA)A^Tb
where A ∈ ℜ ^{m × n} and m ≥ n.

SolvePseudoInverseSvd(int, int) - Constructor for class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

Creates a new solver targeted at the specified matrix size.

SolvePseudoInverseSvd() - Constructor for class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd

Creates a solver targeted at matrices around 100x100

solveR(int, D1Submatrix64F, D1Submatrix64F, boolean) - Static method in class org.ejml.alg.block.BlockTriangularSolver

Solves upper triangular systems:

B = R^-1 B

solveTranL(double[], double[], int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

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.alg.block.BlockInnerTriangularSolver

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.alg.block.BlockInnerTriangularSolver

Solves for non-singular upper triangular matrices using forward substitution.

solveU(double[], double[], int, int, int, int, int) - Static method in class org.ejml.alg.block.BlockInnerTriangularSolver

Solves for non-singular upper triangular matrices using backwards substitution.

solveU(double[], double[], int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

This is a forward substitution solver for non-singular upper triangular matrices.

solveU(double[], double[], int, int, int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

solveU(double[], int, int, int, double[], int, int, int) - Static method in class org.ejml.alg.dense.decomposition.TriangularSolver

This is a forward substitution solver for non-singular upper triangular matrices which are a sub-matrix inside a larger.

SpecializedOps - Class in org.ejml.ops

This contains less common or more specialized matrix operations.

SpecializedOps() - Constructor for class org.ejml.ops.SpecializedOps

splitIntoVectors(RowD1Matrix64F, boolean) - Static method in class org.ejml.ops.SpecializedOps

Takes a matrix and splits it into a set of row or column vectors.

splits - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

splits - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

square(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.TransposeAlgs

In-place transpose for a square matrix.

standard(RowD1Matrix64F, RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.TransposeAlgs

A straight forward transpose.

steps - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

SubmatrixOps - Class in org.ejml.alg.dense.mult

Operations that are performed on a submatrix inside a larger matrix.

SubmatrixOps() - Constructor for class org.ejml.alg.dense.mult.SubmatrixOps

subtract(FixedMatrix2x2_64F, FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(FixedMatrix3x3_64F, FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(FixedMatrix4x4_64F, FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(FixedMatrix5x5_64F, FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(FixedMatrix6x6_64F, FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(D1Matrix64F, double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs matrix scalar subtraction:

c = a - val
c_ij = a_ij - val

subtract(double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs matrix scalar subtraction:

c = val - a
c_ij = val - a_ij

subtract(D1Matrix64F, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following subtraction operation:

c = a - b
c_ij = a_ij - b_ij

subtractEquals(FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps

Performs the following subtraction operation:

a = a - b
a_ij = a_ij - b_ij

subvector(RowD1Matrix64F, int, int, int, boolean, int, RowD1Matrix64F) - Static method in class org.ejml.ops.SpecializedOps

Extracts a row or column vector from matrix A.

sumCols(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the sum of each column in the input matrix and returns the results in a vector:

b_j = sum(i=1:m ; |a_ij|)

sumRows(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Computes the sum of each row in the input matrix and returns the results in a vector:

b_j = sum(i=1:n ; |a_ji|)

svd(int, int, boolean, boolean, boolean) - Static method in class org.ejml.factory.DecompositionFactory

Returns a SingularValueDecomposition that has been optimized for the specified matrix size.

SvdImplicitQrAlgorithm - Class in org.ejml.alg.dense.decomposition.svd.implicitqr

Computes the QR decomposition of a bidiagonal matrix.

SvdImplicitQrAlgorithm(boolean) - Constructor for class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

SvdImplicitQrAlgorithm() - Constructor for class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

SvdImplicitQrDecompose_D64 - Class in org.ejml.alg.dense.decomposition.svd

Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.

SvdImplicitQrDecompose_D64(boolean, boolean, boolean, boolean) - Constructor for class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose_D64

Configures the class

swapDiag(double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Exchanges the internal array of the diagonal elements for the provided one.

swapDiag(double[]) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

swapOff(double[]) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

Exchanges the internal array of the off diagonal elements for the provided one.

swapOff(double[]) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

swapRows(DenseMatrix64F, int, int) - Static method in class org.ejml.alg.dense.misc.RrefGaussJordanRowPivot

SwitchingEigenDecomposition - Class in org.ejml.alg.dense.decomposition.eig

Checks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.

SwitchingEigenDecomposition(int, boolean, double) - Constructor for class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

SwitchingEigenDecomposition(int) - Constructor for class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition

symm2x2_fast(double, double, double) - Method in class org.ejml.alg.dense.decomposition.eig.EigenvalueSmall

Compute the symmetric eigenvalue using a slightly safer technique

SymmetricQrAlgorithm - Class in org.ejml.alg.dense.decomposition.eig.symm

Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.

SymmetricQrAlgorithm(SymmetricQREigenHelper) - Constructor for class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

SymmetricQrAlgorithm() - Constructor for class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm

Creates a new SymmetricQREigenvalue class that declares its own SymmetricQREigenHelper.

SymmetricQRAlgorithmDecomposition_D64 - Class in org.ejml.alg.dense.decomposition.eig

Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.

SymmetricQRAlgorithmDecomposition_D64(TridiagonalSimilarDecomposition<DenseMatrix64F>, boolean) - Constructor for class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

SymmetricQRAlgorithmDecomposition_D64(boolean) - Constructor for class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition_D64

SymmetricQREigenHelper - Class in org.ejml.alg.dense.decomposition.eig.symm

A helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.

SymmetricQREigenHelper() - Constructor for class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

symmPosDef(int) - Static method in class org.ejml.factory.LinearSolverFactory

Creates a solver for symmetric positive definite matrices.

symmRankNMinus_L(int, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

Rank N update function for a symmetric inner submatrix and only operates on the lower triangular portion of the submatrix.

A = A - B*B^T

symmRankNMinus_U(int, D1Submatrix64F, D1Submatrix64F) - Static method in class org.ejml.alg.block.BlockInnerRankUpdate

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(DenseMatrix64F, DenseMatrix64F, int) - Static method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock_D64

Performs this operation:

c = c - a^Ta
where c is a submatrix.

T

T - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

t - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

tau - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

tau - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

tau - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

TestException(String) - Constructor for exception org.ejml.ops.EjmlUnitTests.TestException

tmp - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

tmp - Variable in class org.ejml.alg.dense.decomposition.BaseDecomposition_B64_to_D64

TOL - Static variable in class org.ejml.ops.CovarianceOps

totalSteps - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

trace(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }
where n = min(numRows,numCols)

transpose(BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Transposes a block matrix.

transpose(FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Performs an in-place transpose.

transpose(FixedMatrix2x2_64F, FixedMatrix2x2_64F) - Static method in class org.ejml.alg.fixed.FixedOps2

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Performs an in-place transpose.

transpose(FixedMatrix3x3_64F, FixedMatrix3x3_64F) - Static method in class org.ejml.alg.fixed.FixedOps3

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Performs an in-place transpose.

transpose(FixedMatrix4x4_64F, FixedMatrix4x4_64F) - Static method in class org.ejml.alg.fixed.FixedOps4

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Performs an in-place transpose.

transpose(FixedMatrix5x5_64F, FixedMatrix5x5_64F) - Static method in class org.ejml.alg.fixed.FixedOps5

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Performs an in-place transpose.

transpose(FixedMatrix6x6_64F, FixedMatrix6x6_64F) - Static method in class org.ejml.alg.fixed.FixedOps6

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Performs an "in-place" transpose.

transpose(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

TransposeAlgs - Class in org.ejml.alg.dense.misc

Low level transpose algorithms.

TransposeAlgs() - Constructor for class org.ejml.alg.dense.misc.TransposeAlgs

TriangularSolver - Class in org.ejml.alg.dense.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() - Constructor for class org.ejml.alg.dense.decomposition.TriangularSolver

tridiagonal(int) - Static method in class org.ejml.factory.DecompositionFactory

Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.

TridiagonalDecomposition_B64_to_D64 - Class in org.ejml.alg.dense.decomposition.hessenberg

Wrapper around a block implementation of TridiagonalSimilarDecomposition

TridiagonalDecomposition_B64_to_D64() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecomposition_B64_to_D64

TridiagonalDecomposition_B64_to_D64(int) - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecomposition_B64_to_D64

TridiagonalDecompositionHouseholder_B64 - Class in org.ejml.alg.block.decomposition.hessenberg

Tridiagonal similar decomposition for block matrices.

TridiagonalDecompositionHouseholder_B64() - Constructor for class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

TridiagonalDecompositionHouseholder_D64 - Class in org.ejml.alg.dense.decomposition.hessenberg

Performs a similar tridiagonal decomposition on a square symmetric input matrix.

TridiagonalDecompositionHouseholder_D64() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder_D64

TridiagonalDecompositionHouseholderOrig_D64 - Class in org.ejml.alg.dense.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_D64() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_D64

TridiagonalHelper_B64 - Class in org.ejml.alg.block.decomposition.hessenberg

TridiagonalHelper_B64() - Constructor for class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

tridiagUpperRow(int, D1Submatrix64F, double[], D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalHelper_B64

Performs a tridiagonal decomposition on the upper row only.

U

u - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

UnrolledDeterminantFromMinor - Class in org.ejml.alg.dense.misc

This code was auto generated by GenerateDeterminantFromMinor and should not be modified directly.

UnrolledDeterminantFromMinor() - Constructor for class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor

UnrolledInverseFromMinor - Class in org.ejml.alg.dense.misc

This code was auto generated by GenerateInverseFromMinor and should not be modified directly.

UnrolledInverseFromMinor() - Constructor for class org.ejml.alg.dense.misc.UnrolledInverseFromMinor

updateA(D1Submatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.QRDecompositionHouseholder_B64

A = (I + W Y^T)^TA
A = A + Y (W^TA)

where A is a submatrix of the input matrix.

updateA(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*u^T)A

updateA(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*u^T)A

updateA(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*u^T)A

updateQ(int, int, double, double) - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

updateRotator(DenseMatrix64F, int, int, double, double) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Multiplied a transpose orthogonal matrix Q by the specified rotator.

upgradeSolution(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

Upgrades the basic solution to the optimal 2-norm solution.

upper(D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.chol.InnerCholesky_B64

upper(double[], int, int) - Static method in class org.ejml.alg.block.decomposition.chol.InnerCholesky_B64

Performs an inline upper Cholesky decomposition on an inner row-major matrix.

Ut - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

V

V - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

v - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder_D64

v - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn_D64

v - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran_D64

value0 - Variable in class org.ejml.alg.dense.decomposition.eig.EigenvalueSmall

value1 - Variable in class org.ejml.alg.dense.decomposition.eig.EigenvalueSmall

value2x2(double, double, double, double) - Method in class org.ejml.alg.dense.decomposition.eig.EigenvalueSmall

value2x2_fast(double, double, double, double) - Method in class org.ejml.alg.dense.decomposition.eig.EigenvalueSmall

Computes the eigenvalues of a 2 by 2 matrix using a faster but more prone to errors method.

VectorVectorMult - Class in org.ejml.alg.dense.mult

Operations that involve multiplication of two vectors.

VectorVectorMult() - Constructor for class org.ejml.alg.dense.mult.VectorVectorMult

Vt - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

vv - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

vv - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

W

WatchedDoubleStepQRDecomposition_D64 - Class in org.ejml.alg.dense.decomposition.eig

Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.

WatchedDoubleStepQRDecomposition_D64(boolean) - Constructor for class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition_D64

WatchedDoubleStepQREigen - Class in org.ejml.alg.dense.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() - Constructor for class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen

WatchedDoubleStepQREigenvalue - Class in org.ejml.alg.dense.decomposition.eig.watched

WatchedDoubleStepQREigenvalue() - Constructor for class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue

WatchedDoubleStepQREigenvector - Class in org.ejml.alg.dense.decomposition.eig.watched

WatchedDoubleStepQREigenvector() - Constructor for class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector

X

x1 - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

x1 - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

x2 - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper

x2 - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

Y

Y - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp_D64

Z

zerosM - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64

zeroTriangle(boolean, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps

Sets either the upper or low triangle of a matrix to zero

_

_getVV() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon_D64

_getVV() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL_D64

_getVV() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

_process() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm

_setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverAbstract_D64

_solveVectorInternal(double[]) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase_D64

a specialized version of solve that avoid additional checks that are not needed.

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