Index (Efficient Java Matrix Library 0.19 API)

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A

A - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
A - Variable in class org.ejml.alg.dense.linsol.LinearSolverAbstract
Ablock - Variable in class org.ejml.alg.dense.decomposition.BaseDecompositionBlock64
add(int, int, double) - Method in class org.ejml.data.DenseMatrix64F: Adds 'value' to the specified element in the matrix.

a_ij = a_ij + value
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(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
AdjLinearSolverQr - 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() - Constructor for class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr
adjustable() - Static method in class org.ejml.alg.dense.linsol.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.BaseDecompositionBlock64
alg - Variable in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64
applyQ(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: Multiplies the provided matrix by Q using householder reflectors.
applyQ(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: 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: A = Q*A
applyQTran(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: 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.TridiagonalBlockHelper: Applies the reflectors that have been computed previously to the specified row.
applyTranQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran: A = Q^T*A
assertCountable(Matrix64F) - Static method in class org.ejml.ops.EjmlUnitTests: Checks to see if every element in A is countable.
assertEquals(Matrix64F, Matrix64F, 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:
assertEqualsTrans(Matrix64F, Matrix64F, double) - Static method in class org.ejml.ops.EjmlUnitTests: Checks to see if the transpose of B is equal to A and countable:
assertEqualsUncountable(Matrix64F, Matrix64F, 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(Matrix64F, Matrix64F) - Static method in class org.ejml.ops.EjmlUnitTests: Checks to see if A and B have the same shape.
assertShape(Matrix64F, 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

BaseDecompositionBlock64 - Class in org.ejml.alg.dense.decomposition: Generic interface for wrapping a BlockMatrix64F decomposition for processing of DenseMatrix64F.
BaseDecompositionBlock64(DecompositionInterface<BlockMatrix64F>, int) - Constructor for class org.ejml.alg.dense.decomposition.BaseDecompositionBlock64
BaseLinearSolverQrp - Class in org.ejml.alg.dense.linsol.qr: Base class for QR pivot based pseudo inverse classes.
BaseLinearSolverQrp(QRPDecomposition<DenseMatrix64F>, boolean) - Constructor for class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp: Configures internal parameters.
BidiagonalDecomposition<T extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition.bidiagonal: Computes a matrix decomposition such that:

A = U*B*V^T

where A is m by n, U is orthogonal and m by m, B is an m by n bidiagonal matrix, V is orthogonal and n by n.
BidiagonalDecompositionNaive - Class in org.ejml.alg.dense.decomposition.bidiagonal: A slower but much simpler version of BidiagonalDecompositionRow that internally uses SimpleMatrix and explicitly computes the householder matrices.
BidiagonalDecompositionNaive() - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive
BidiagonalDecompositionRow - Class in org.ejml.alg.dense.decomposition.bidiagonal: Performs a BidiagonalDecomposition using householder reflectors.
BidiagonalDecompositionRow(int) - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Creates a decompose that defines the specified amount of memory.
BidiagonalDecompositionRow() - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
BidiagonalDecompositionTall - Class in org.ejml.alg.dense.decomposition.bidiagonal: BidiagonalDecomposition specifically designed for tall matrices.
BidiagonalDecompositionTall() - Constructor for class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
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.
BLOCK_SIZE - Static variable in class org.ejml.EjmlParameters: Number of elements in a block.
BLOCK_WIDTH - Static variable in class org.ejml.EjmlParameters: In modern computers there are high speed memory caches.
BLOCK_WIDTH_CHOL - Static variable in class org.ejml.EjmlParameters
blockA - Variable in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64
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.WrapLinearSolverBlock64
BlockCholeskyOuterForm - Class in org.ejml.alg.block.decomposition.chol: Block Cholesky using outer product form.
BlockCholeskyOuterForm(boolean) - Constructor for class org.ejml.alg.block.decomposition.chol.BlockCholeskyOuterForm: Creates a new BlockCholeskyOuterForm
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
BlockInnerCholesky - Class in org.ejml.alg.block.decomposition.chol: Performs a cholesky decomposition on an individual inner block.
BlockInnerCholesky() - Constructor for class org.ejml.alg.block.decomposition.chol.BlockInnerCholesky
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.BaseDecompositionBlock64
blockLength - Variable in class org.ejml.data.BlockMatrix64F
BlockMatrix64F - Class in org.ejml.data: A row-major block matrix declared on to one continuous array.
BlockMatrix64F(int, int, int) - Constructor for class org.ejml.data.BlockMatrix64F
BlockMatrix64F(int, int) - Constructor for class org.ejml.data.BlockMatrix64F
BlockMatrix64F() - Constructor for class org.ejml.data.BlockMatrix64F
BlockMatrix64HouseholderQR - Class in org.ejml.alg.block.decomposition.qr: QR decomposition for BlockMatrix64F using householder reflectors.
BlockMatrix64HouseholderQR() - Constructor for class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR
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 BlockMatrix64HouseholderQR.
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.WrapLinearSolverBlock64
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(D1Matrix64F) - Static method in class org.ejml.ops.CommonOps: Changes the sign of every element in the matrix.

a_ij = -a_ij
checkArgumentSquare(RowD1Matrix64F, String) - Static method in class org.ejml.alg.dense.linsol.gj.GaussJordan
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.alg.dense.decomposition.DecompositionFactory: If you don't know which Cholesky algorithm to use, call this function to select what is most likely the best one for you.
CholeskyDecomposition<MatrixType extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: Cholesky decomposition for DenseMatrix64F.
CholeskyDecompositionBlock - Class in org.ejml.alg.dense.decomposition.chol: This is an implementation of Cholesky that processes internal submatrices as blocks.
CholeskyDecompositionBlock(int) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock: Creates a CholeksyDecomposition capable of decomposing a matrix that is n by n, where n is the width.
CholeskyDecompositionBlock64 - Class in org.ejml.alg.dense.decomposition.chol: Wrapper around BlockCholeskyOuterForm that allows it to process DenseMatrix64F.
CholeskyDecompositionBlock64(boolean) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock64
CholeskyDecompositionCommon - Class in org.ejml.alg.dense.decomposition.chol: This is an abstract class for a Cholesky decomposition.
CholeskyDecompositionCommon(boolean) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon: Creates a CholeksyDecomposition capable of decompositong a matrix that is n by n, where n is the width.
CholeskyDecompositionInner - Class in org.ejml.alg.dense.decomposition.chol: This implementation of a Cholesky decomposition using the inner-product form.
CholeskyDecompositionInner() - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner
CholeskyDecompositionInner(boolean) - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner
CholeskyDecompositionLDL - 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() - Constructor for class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL
cholLDL(int) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Creates a CholeskyDecompositionLDL decomposition.
CodeGeneratorMisc - Class in org.ejml.alg.generic: Various things related to auto generating code.
CodeGeneratorMisc() - Constructor for class org.ejml.alg.generic.CodeGeneratorMisc
col0 - Variable in class org.ejml.data.D1Submatrix64F
col1 - Variable in class org.ejml.data.D1Submatrix64F
columnsToVector(DenseMatrix64F, DenseMatrix64F[]) - Static method in class org.ejml.ops.CommonOps: Converts the columns in a matrix into a set of vectors.
combine(int, int, T) - Method in class org.ejml.simple.SimpleBase: Creates a new matrix that is a combination of this matrix and matrix B.
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: This function performs sanity check on the input for decompose and sets up the QR matrix.
Complex64F - Class in org.ejml.data: Represents a complex number using 64bit floating point numbers.
Complex64F(double, double) - Constructor for class org.ejml.data.Complex64F
Complex64F() - Constructor for class org.ejml.data.Complex64F
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.dense.decomposition.lu.LUDecompositionBase: Computes the determinant from the LU decomposition.
computeDeterminant() - Method in interface org.ejml.alg.dense.decomposition.LUDecomposition: Computes the matrix's determinant using 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.TridiagonalBlockHelper: 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
computeTauAndDivide(int, int, double[], double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions: 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.BidiagonalDecompositionNaive
computeU(int) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
computeV(int) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive
computeV(int) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
computeV_blockVector(int, D1Submatrix64F, double[], D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalBlockHelper: 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.TridiagonalBlockHelper: 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.TridiagonalBlockHelper: 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.
conditionP2() - Method in class org.ejml.simple.SimpleBase: 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.BaseDecompositionBlock64
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.
convertSimple(BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps: Converts the block matrix into a SimpleMatrix.
convertToColumnMajor(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn: 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(Matrix64F, Matrix64F) - Static method in class org.ejml.alg.generic.GenericMatrixOps
copy() - Method in class org.ejml.data.BlockMatrix64F
copy() - Method in class org.ejml.data.DenseMatrix64F: Creates and returns a matrix which is idential to this one.
copy() - Method in class org.ejml.data.Matrix64F
copy() - Method in class org.ejml.simple.SimpleBase: Creates and returns a matrix which is idential to this one.
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
createClass(int) - Method in class org.ejml.alg.dense.misc.GenerateDeterminantFromMinor
createClass(int) - Method in class org.ejml.alg.dense.misc.GenerateInverseFromMinor
createClass() - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
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.
createInSpan(DenseMatrix64F[], double, double, Random) - Static method in class org.ejml.ops.RandomMatrices: Creates a random vector that is inside the specified span.
createList(int) - Static method in class org.ejml.alg.dense.misc.PermuteArray: Creates a list of all permutations for a set with N elements.
createMatrix(int, int) - Method in class org.ejml.simple.SimpleBase: Used internally for creating new instances of SimpleMatrix.
createMatrix(int, int) - Method in class org.ejml.simple.SimpleMatrix
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

D1Matrix64F - Class in org.ejml.data: A generic abstract class for matrices whose data is stored in a single 1D array of doubles.
D1Matrix64F() - Constructor for class org.ejml.data.D1Matrix64F
D1Submatrix64F - Class in org.ejml.data: Describes a rectangular submatrix inside of a D1Matrix64F.
D1Submatrix64F() - Constructor for class org.ejml.data.D1Submatrix64F
D1Submatrix64F(D1Matrix64F, int, int, int, int) - Constructor for class org.ejml.data.D1Submatrix64F
D1Submatrix64F(D1Matrix64F) - Constructor for class org.ejml.data.D1Submatrix64F
data - Variable in class org.ejml.data.D1Matrix64F: Where the raw data for the matrix is stored.
dataLU - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
dataQR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
dataQR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn: 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.block.linsol.qr.BlockQrHouseHolderSolver
decomp - Variable in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
decompose(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.chol.BlockCholeskyOuterForm: Decomposes the provided matrix and stores the result in the same matrix.
decompose(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
decompose(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.BaseDecompositionBlock64
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive: Computes the decomposition of the provided matrix.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Computes the decomposition of the provided matrix.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon: Performs Choleksy decomposition on the provided matrix.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL: Performs Choleksy decomposition on the provided matrix.
decompose(T) - Method in interface org.ejml.alg.dense.decomposition.DecompositionInterface: Computes the decomposition of the input 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: Decomposes the matrix using the QR algorithm.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition: Computes the decomposition of the provided matrix.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder: Decomposes the provided symmetric matrix.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig: Decomposes the provided symmetric matrix.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionAlt: This is a modified version of what was found in the JAMA package.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionNR: This implementation of LU Decomposition uses the algorithm specified below: "Numerical Recipes The Art of Scientific Computing", Third Edition, Pages 48-55
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn: To decompose the matrix 'A' it must have full rank.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder: In order to decompose the matrix 'A' it must have full rank.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn: To decompose the matrix 'A' it must have full rank.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran: To decompose the matrix 'A' it must have full rank.
decompose(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
decomposeCommonInit(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
decomposeLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock: Performs Choleksy decomposition on the provided matrix.
decomposeLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon: Performs an lower triangular decomposition.
decomposeLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner
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.
decomposeSafe(DecompositionInterface<T>, T) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Makes sure the decomposed matrix is not modified.
decomposeUpper() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock
decomposeUpper() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon: Performs an upper triangular decomposition.
decomposeUpper() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner
DecompositionFactory - Class in org.ejml.alg.dense.decomposition: Contains operations related to creating and evaluating the quality of common matrix decompositions.
DecompositionFactory() - Constructor for class org.ejml.alg.dense.decomposition.DecompositionFactory
DecompositionInterface<T extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: An interface for performing matrix decompositions on a DenseMatrix64F.
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.
DenseMatrix64F - Class in org.ejml.data: DenseMatrix64F is a dense matrix with elements that are 64-bit floats (doubles).
DenseMatrix64F(int, int, boolean, double...) - Constructor for class org.ejml.data.DenseMatrix64F: Creates a new matrix which has the same value as the matrix encoded in the provided array.
DenseMatrix64F(double[][]) - Constructor for class org.ejml.data.DenseMatrix64F: Creates a matrix with the values and shape defined by the 2D array 'data'.
DenseMatrix64F(int, int) - Constructor for class org.ejml.data.DenseMatrix64F: Creates a new Matrix with the specified shape whose elements initially have the value of zero.
DenseMatrix64F(DenseMatrix64F) - Constructor for class org.ejml.data.DenseMatrix64F: Creates a new matrix which is equivalent to the provided matrix.
DenseMatrix64F(int) - Constructor for class org.ejml.data.DenseMatrix64F: This declares an array that can store a matrix up to the specified length.
DenseMatrix64F() - Constructor for class org.ejml.data.DenseMatrix64F: Default constructor where nothing is assigned.
DenseMatrix64F(Matrix64F) - Constructor for class org.ejml.data.DenseMatrix64F: Creates a new DenseMatrix64F which contains the same information as the provided Matrix64F.
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(RowD1Matrix64F) - Static method in class org.ejml.alg.dense.misc.UnrolledDeterminantFromMinor
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
determinant() - Method in class org.ejml.simple.SimpleBase: Computes the determinant of the matrix.
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(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
diag(double...) - Static method in class org.ejml.simple.SimpleMatrix: Creates a matrix where all but the diagonal elements are zero.
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(int, double) - Method in class org.ejml.data.D1Matrix64F: Divides the specified value to the internal data array at the specified index.

Equivalent to: this.data[index] /= val;
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(double, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps: Performs an in-place element by element scalar division.

a_ij = a_ij/α
divide(double, D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps: Performs an element by element scalar division.

b_ij = *a_ij /α
divide(double) - Method in class org.ejml.simple.SimpleBase: Returns the result of dividing each element by 'val': b_i,j = a_i,j/val
divideElements(int, int, double[], double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions
divideElements(int, int, double[], int, double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions
divideElements_Bcol(int, int, int, double[], double[], int, double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions
divideElements_Brow(int, int, double[], double[], int, double) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions
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(T) - Method in class org.ejml.simple.SimpleBase: Computes the dot product (a.k.a.
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) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Returns a new eigenvalue decomposition.
eig(int, boolean) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Same as DecompositionFactory.eig(int) but can turn on and off computing eigen vectors
eig() - Method in class org.ejml.simple.SimpleBase: Returns the Eigen Value Decomposition (EVD) of this matrix.
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
EigenDecomposition<MatrixType extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
EigenOps - Class in org.ejml.ops: Additional functions related to eigenvalues and eigenvectors of a matrix.
EigenOps() - Constructor for class org.ejml.ops.EigenOps
Eigenpair - Class in org.ejml.data: An eigenpair is a set composed of an eigenvalue and an eigenvector.
Eigenpair(double, DenseMatrix64F) - Constructor for class org.ejml.data.Eigenpair
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
eigGeneral(int, boolean) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Creates a new EigenDecomposition that will work with any matrix.
eigSymm(int, boolean) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Creates a new EigenDecomposition that will only work with symmetric matrices.
EjmlParameters - Class in org.ejml: This is a list of parameters that are used across the code.
EjmlParameters() - Constructor for class org.ejml.EjmlParameters
EjmlParameters.MemoryUsage - Enum in org.ejml
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
EjmlUnitTests.TestException(String) - Constructor for exception org.ejml.ops.EjmlUnitTests.TestException
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
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(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
elementMaxAbs() - Method in class org.ejml.simple.SimpleBase: Returns the maximum absolute value of all the elements in this matrix.
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(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(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
elementMult(T) - Method in class org.ejml.simple.SimpleBase: Returns a matrix which is the result of an element by element multiplication of 'this' and 'b': c_i,j = a_i,j*b_i,j
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
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)
elementSum() - Method in class org.ejml.simple.SimpleBase: Computes the sum of all the elements in the matrix.
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.
END - Static variable in class org.ejml.simple.SimpleMatrix: A simplified way to reference the last row or column in the matrix for some functions.
EPS - Static variable in class org.ejml.UtilEjml
error - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
error - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
error - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
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(Matrix64F, int, int, Matrix64F, int, int, int, int) - Static method in class org.ejml.alg.dense.misc.ImplCommonOps_Matrix64F
extract() - Method in class org.ejml.data.D1Submatrix64F
extract(Matrix64F, int, int, int, int, Matrix64F, 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.
extractDiag(DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps: Extracts the diagonal elements 'src' write it to the 'dst' vector.
extractDiag() - Method in class org.ejml.simple.SimpleBase: Extracts the diagonal from this matrix and returns them inside a column vector.
extractMatrix(int, int, int, int) - Method in class org.ejml.simple.SimpleBase: Creates a new SimpleMatrix which is a submatrix of this matrix.
extractVector(boolean, int) - Method in class org.ejml.simple.SimpleBase: Extracts a row or column from this matrix.
extractVectors(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector
extractWords() - Method in class org.ejml.ops.ReadCsv: Finds the next valid line of words in the stream and extracts them.

F

fact(int) - Static method in class org.ejml.alg.dense.misc.PermuteArray: Computes N factorial
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.
findMax(double[], int, int) - Static method in class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions
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

G

gamma - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
gamma - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
gamma - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
gammas - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
gammas - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
gammas - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
gammas - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
GaussJordan - Class in org.ejml.alg.dense.linsol.gj: Gauss-Jordan elimination is an algorithm that can solve linear equations and invert matrices.
GaussJordan(int) - Constructor for class org.ejml.alg.dense.linsol.gj.GaussJordan
GaussJordanNoPivot - Class in org.ejml.alg.dense.linsol.gj: This is an implementation of Gauss-Jordan elimination with no pivoting.
GaussJordanNoPivot() - Constructor for class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot
general(int, int) - Static method in class org.ejml.alg.dense.linsol.LinearSolverFactory: Creates a general purpose solver.
GenerateDeterminantFromMinor - Class in org.ejml.alg.dense.misc: Generates code for an unrolled determinant by minor.
GenerateDeterminantFromMinor(String) - Constructor for class org.ejml.alg.dense.misc.GenerateDeterminantFromMinor
GenerateInverseFromMinor - Class in org.ejml.alg.dense.misc: Generates unrolled matrix from minor analytical functions.
GenerateInverseFromMinor() - Constructor for class org.ejml.alg.dense.misc.GenerateInverseFromMinor
GeneratorBlockInnerMultiplication - Class in org.ejml.alg.block
GeneratorBlockInnerMultiplication(String) - Constructor for class org.ejml.alg.block.GeneratorBlockInnerMultiplication
GeneratorMatrixMatrixMult - Class in org.ejml.alg.dense.mult: This class generates code for various matrix matrix multiplication operations.
GeneratorMatrixMatrixMult(String) - Constructor for class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
GenericMatrixOps - Class in org.ejml.alg.generic
GenericMatrixOps() - Constructor for class org.ejml.alg.generic.GenericMatrixOps
get(int, int) - Method in class org.ejml.data.BlockMatrix64F
get(int) - Method in class org.ejml.data.D1Matrix64F: Returns the value of the matrix at the specified internal array index.
get(int, int) - Method in class org.ejml.data.D1Submatrix64F
get(int, int) - Method in class org.ejml.data.DenseMatrix64F: Returns the value of the specified matrix element.
get(int, int) - Method in class org.ejml.data.Matrix64F: Returns the value of value of the specified matrix element.
get(int, int) - Method in class org.ejml.simple.SimpleBase: Returns the value of the specified matrix element.
get(int) - Method in class org.ejml.simple.SimpleBase: Returns the value of the matrix at the specified index of the 1D row major array.
getA() - Method in class org.ejml.alg.dense.linsol.LinearSolverAbstract
getA() - Method in class org.ejml.alg.dense.linsol.qr.AdjLinearSolverQr: Compute the A matrix from the Q and R matrices.
getB(T, boolean) - Method in interface org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecomposition: Returns the bidiagonal matrix.
getB() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive
getB(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Returns the bidiagonal matrix.
getB(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
getCols() - Method in class org.ejml.data.D1Submatrix64F
getD() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL: Diagonal elements of the diagonal D matrix.
getData() - Method in class org.ejml.data.BlockMatrix64F
getData() - Method in class org.ejml.data.D1Matrix64F: Used to get a reference to the internal data.
getDiag() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getDiagonal(double[], double[]) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
getDiagonal(double[], double[]) - Method in interface org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecomposition: Extracts the diagonal and off diagonal elements from the decomposition.
getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionBlock
getDiagonal(double[], double[]) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder
getDiagonal(double[], double[]) - Method in interface org.ejml.alg.dense.decomposition.hessenberg.TridiagonalSimilarDecomposition: Extracts the diagonal and off diagonal elements of the decomposed tridiagonal matrix.
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
getEigenvalue(int) - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition
getEigenvalue(int) - Method in interface org.ejml.alg.dense.decomposition.EigenDecomposition: Returns an eigenvalue as a complex number.
getEigenvalue(int) - Method in class org.ejml.simple.SimpleEVD: Returns an eigenvalue as a complex number.
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
getEigenVector(int) - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition
getEigenVector(int) - Method in interface org.ejml.alg.dense.decomposition.EigenDecomposition: Used to retrieve real valued eigenvectors.
getEigenVector(int) - Method in class org.ejml.simple.SimpleEVD: Used to retrieve real valued eigenvectors.
getEigenvectors() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector
getEVD() - Method in class org.ejml.simple.SimpleEVD: Returns the underlying decomposition that this is a wrapper around.
getGamma(int) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig
getGammas() - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition
getGammas() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
getGammas() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
getGammas() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
getGammasU() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Returns gammas from the householder operations for the U matrix.
getGammasV() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Returns gammas from the householder operations for the V matrix.
getH(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition: An upper Hessenberg matrix from the decompostion.
getImaginary() - Method in class org.ejml.data.Complex64F
getImplicit() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvector
getImplicitQR() - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigenvalue
getIndex(int, int) - Method in class org.ejml.data.BlockMatrix64F
getIndex(int, int) - Method in class org.ejml.data.D1Matrix64F: Returns the internal array index for the specified row and column.
getIndex(int, int) - Method in class org.ejml.data.DenseMatrix64F
getIndex() - Method in class org.ejml.data.MatrixIterator: Which element in the submatrix was returned by next()
getIndex(int, int) - Method in class org.ejml.simple.SimpleBase: Returns the index in the matrix's array.
getIndexMax() - Method in class org.ejml.simple.SimpleEVD: Returns the index of the eigenvalue which has the largest magnitude.
getIndexMin() - Method in class org.ejml.simple.SimpleEVD: Returns the index of the eigenvalue which has the smallest magnitude.
getIndx() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
getL() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL: Returns L matrix from the decomposition.
L*D*L^T=A
getLineNumber() - Method in class org.ejml.ops.ReadCsv: Returns how many lines have been read.
getLower(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase: Writes the lower triangular matrix into the specified matrix.
getLower(T) - Method in interface org.ejml.alg.dense.decomposition.LUDecomposition: Returns the L matrix from the decomposition.
getLU() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
getMagnitude() - Method in class org.ejml.data.Complex64F
getMagnitude2() - Method in class org.ejml.data.Complex64F
getMatrix() - Method in class org.ejml.simple.SimpleBase: Returns a reference to the matrix that it uses internally.
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
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
getNumberOfEigenvalues() - Method in interface org.ejml.alg.dense.decomposition.EigenDecomposition: Returns the number of eigenvalues/eigenvectors.
getNumberOfEigenvalues() - Method in class org.ejml.simple.SimpleEVD: Returns the number of eigenvalues/eigenvectors.
getNumberOfSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getNumCols() - Method in class org.ejml.data.BlockMatrix64F
getNumCols() - Method in class org.ejml.data.Matrix64F: Returns the number of columns in this matrix.
getNumElements() - Method in class org.ejml.data.BlockMatrix64F
getNumElements() - Method in class org.ejml.data.DenseMatrix64F: Returns the number of elements in this matrix, which is equal to the number of rows times the number of columns.
getNumElements() - Method in class org.ejml.data.Matrix64F: Returns the number of elements in this matrix, which is the number of rows times the number of columns.
getNumElements() - Method in class org.ejml.simple.SimpleBase: Returns the number of elements in this matrix, which is equal to the number of rows times the number of columns.
getNumRows() - Method in class org.ejml.data.BlockMatrix64F
getNumRows() - Method in class org.ejml.data.Matrix64F: Returns the number of rows in this matrix.
getOff() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getPivot() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
getPivot(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
getPivot(T) - Method in interface org.ejml.alg.dense.decomposition.LUDecomposition: For numerical stability there are often row interchanges.
getPivotMatrix(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn
getPivotMatrix(DenseMatrix64F) - Method in interface org.ejml.alg.dense.decomposition.QRPDecomposition
getPivots() - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn
getPivots() - Method in interface org.ejml.alg.dense.decomposition.QRPDecomposition
getQ(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
getQ(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR
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: An orthogonal matrix that has the following property: H = Q^TAQ
getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionBlock
getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder: An orthogonal matrix that has the following property: T = Q^TAQ
getQ(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig: An orthogonal matrix that has the following property: T = Q^TAQ
getQ(MatrixType, boolean) - Method in interface org.ejml.alg.dense.decomposition.hessenberg.TridiagonalSimilarDecomposition: An orthogonal matrix that has the following property: T = Q^TAQ
getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn: Computes the Q matrix from the information stored in the QR matrix.
getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionBlock64
getQ(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder: 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: 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: Computes the Q matrix from the information stored in the QR matrix.
getQ(T, boolean) - Method in interface org.ejml.alg.dense.decomposition.QRDecomposition: Returns the Q matrix from the decomposition.
getQH() - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition: The raw QH matrix that is stored internally.
getQR() - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: This is the input matrix after it has been overwritten with the decomposition.
getQR() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder: Returns a single matrix which contains the combined values of Q and R.
getQR() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn: 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: Inner matrix that stores the decomposition
getQT() - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder: Returns the internal matrix where the decomposed results are stored.
getQT() - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig: Returns the interal matrix where the decomposed results are stored.
getR(BlockMatrix64F, boolean) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR
getR(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionBlock64
getR(DenseMatrix64F, boolean) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder: 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: 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: Returns an upper triangular matrix which is the R in the QR decomposition.
getR(T, boolean) - Method in interface org.ejml.alg.dense.decomposition.QRDecomposition: Returns the R matrix from the decomposition.
getRank() - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn
getRank() - Method in interface org.ejml.alg.dense.decomposition.QRPDecomposition: Returns the rank as determined by the algorithm.
getReader() - Method in class org.ejml.ops.ReadCsv: Returns the reader that it is using internally.
getReal() - Method in class org.ejml.data.Complex64F
getRows() - Method in class org.ejml.data.D1Submatrix64F
getSingleValue(int) - Method in class org.ejml.simple.SimpleSVD: Returns the specified singular value.
getSingularValue(int) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getSingularValues() - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: Returns the singular values.
getSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
getSVD() - Method in class org.ejml.simple.SimpleSVD: Returns the underlying decomposition that this is a wrapper around.
getT(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.chol.BlockCholeskyOuterForm
getT(BlockMatrix64F) - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock64
getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
getT() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon: Returns the triangular matrix from the decomposition.
getT(MatrixType) - Method in interface org.ejml.alg.dense.decomposition.CholeskyDecomposition: Returns the triangular matrix from the decomposition.
getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionBlock
getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder: Extracts the tridiagonal matrix found in the decomposition.
getT(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig: Extracts the tridiagonal matrix found in the decomposition.
getT(MatrixType) - Method in interface org.ejml.alg.dense.decomposition.hessenberg.TridiagonalSimilarDecomposition: Extracts the tridiagonal matrix found in the decomposition.
getU(T, boolean, boolean) - Method in interface org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecomposition: Returns the orthogonal U matrix.
getU() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive
getU(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Returns the orthogonal U matrix.
getU(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
getU(boolean) - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: Returns the orthogonal 'U' matrix.
getU(boolean) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
getU() - Method in class org.ejml.simple.SimpleSVD: Returns the orthogonal 'U' matrix.
getU_tran() - Method in class org.ejml.alg.dense.decomposition.qr.QrUpdate
getUBV() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: The raw UBV matrix that is stored internally.
getUpper(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase: Writes the upper triangular matrix into the specified matrix.
getUpper(T) - Method in interface org.ejml.alg.dense.decomposition.LUDecomposition: Returns the U matrix from the decomposition.
getUt() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getV(T, boolean, boolean) - Method in interface org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecomposition: Returns the orthogonal V matrix.
getV() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive
getV(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: Returns the orthogonal V matrix.
getV(DenseMatrix64F, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
getV(boolean) - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: Returns the orthogonal 'V' matrix.
getV(boolean) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
getV() - Method in class org.ejml.simple.SimpleSVD: Returns the orthogonal 'V' matrix.
getVt() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
getW(T) - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: Returns a diagonal matrix with the singular values.
getW(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
getW() - Method in class org.ejml.simple.SimpleSVD: Returns a diagonal matrix with the singular values.

H

handleB(DenseMatrix64F, boolean, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
handleU(DenseMatrix64F, boolean, boolean, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
handleV(DenseMatrix64F, boolean, boolean, int, int, int) - Static method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
hasNaN(D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures: Checks to see if any element in the matrix is NaN.
hasNext() - Method in class org.ejml.data.MatrixIterator
hasUncountable(D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures: Checks to see if any element in the matrix is NaN of Infinite.
hasUncountable() - Method in class org.ejml.simple.SimpleBase: Checks to see if any of the elements in this matrix are either NaN or infinite.
HessenbergSimilarDecomposition - 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(int) - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition: Creates a decomposition that won't need to allocate new memory if it is passed matrices up to the specified size.
HessenbergSimilarDecomposition() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition
householder(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder: Computes the householder vector "u" for the first column of submatrix j.
householder(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn: Computes the householder vector "u" for the first column of submatrix j.
householder(int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran: 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: 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: 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: 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
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.
identity(int) - Static method in class org.ejml.simple.SimpleMatrix: Creates a new identity matrix with the specified size.
imaginary - Variable in class org.ejml.data.Complex64F
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: 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
init(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionNaive
init(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow: 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: If needed declares and sets up internal data structures.
init(DenseMatrix64F) - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig: 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.BlockMatrix64HouseholderQR: 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
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: x^TAy
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.TridiagonalBlockHelper
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.BlockCholeskyOuterForm
inputModified() - Method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
inputModified() - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: The input matrix is always modified.
inputModified() - Method in class org.ejml.alg.dense.decomposition.BaseDecompositionBlock64
inputModified() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow
inputModified() - Method in class org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionTall
inputModified() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
inputModified() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL
inputModified() - Method in interface org.ejml.alg.dense.decomposition.DecompositionInterface: Is the input matrix to DecompositionInterface.decompose(org.ejml.data.Matrix64F) is modified during the decomposition process.
inputModified() - Method in class org.ejml.alg.dense.decomposition.eig.SwitchingEigenDecomposition
inputModified() - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition
inputModified() - Method in class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition
inputModified() - Method in class org.ejml.alg.dense.decomposition.hessenberg.HessenbergSimilarDecomposition
inputModified() - Method in class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder
inputModified() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
inputModified() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
inputModified() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
inputModified() - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
inputModified() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
insert(Matrix64F, Matrix64F, 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.
insertIntoThis(int, int, T) - Method in class org.ejml.simple.SimpleBase: Copy matrix B into this matrix at location (insertRow, insertCol).
internalSolver - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp
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: 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: Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.gj.GaussJordan
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot
invert(LinearSolver<DenseMatrix64F>, RowD1Matrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.linsol.InvertUsingSolve
invert(T) - Method in interface org.ejml.alg.dense.linsol.LinearSolver: Computes the inverse of of the 'A' matrix passed into LinearSolver.setA(org.ejml.data.Matrix64F) and writes the results to the provided matrix.
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverAbstract
invert(T) - Method in class org.ejml.alg.dense.linsol.LinearSolverSafe
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd
invert(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64: Creates a block matrix the same size as A_inv, inverts the matrix and copies the results back onto A_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.
invert() - Method in class org.ejml.simple.SimpleBase: Returns the inverse of this matrix.

b = a^-1
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 interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: If true then compact matrices are returned.
isCompact() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
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(Matrix64F, Matrix64F, 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(Matrix64F, Matrix64F, double) - Static method in class org.ejml.alg.generic.GenericMatrixOps
isEquivalentTriangle(boolean, Matrix64F, Matrix64F, 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.
isIdentical(T, double) - Method in class org.ejml.simple.SimpleBase: Checks to see if matrix 'a' is the same as this matrix within the specified tolerance.
isIdentity(Matrix64F, 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.
isInBounds(int, int) - Method in class org.ejml.data.DenseMatrix64F: Determins if the specified element is inside the bounds of the Matrix.
isInBounds(int, int) - Method in class org.ejml.simple.SimpleBase: Returns true of the specified matrix element is valid element inside this 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.BlockCholeskyOuterForm
isLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock64
isLower() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon: If true the decomposition was for a lower triangular matrix.
isLower() - Method in interface org.ejml.alg.dense.decomposition.CholeskyDecomposition: 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:
isReal() - Method in class org.ejml.data.Complex64F
isReal2x2(int, int) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen
isRowMajor() - Method in class org.ejml.data.MatrixIterator: True if it is iterating through the matrix by rows and false if by columns.
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: Determines if the decomposed matrix is singular.
isSingular() - Method in interface org.ejml.alg.dense.decomposition.LUDecomposition: Returns true if the decomposition detected a singular matrix.
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.
isUncountable(double) - Static method in class org.ejml.UtilEjml
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(D1Matrix64F) - Static method in class org.ejml.ops.MatrixFeatures: Checks to see if the matrix is a vector or not.
isVector() - Method in class org.ejml.simple.SimpleBase: Returns true if this matrix is a vector.
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
iterator(boolean, int, int, int, int) - Method in class org.ejml.data.Matrix64F: Creates a new iterator for traversing through a submatrix inside this matrix.
iterator(boolean, int, int, int, int) - Method in class org.ejml.simple.SimpleBase: Creates a new iterator for traversing through a submatrix inside this matrix.

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}.
kron(T) - Method in class org.ejml.simple.SimpleBase: Computes the Kronecker product between this matrix and the provided B matrix:

C = kron(A,B)

L

lastExceptional - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper
leastSquares(int, int) - Static method in class org.ejml.alg.dense.linsol.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.alg.dense.linsol.LinearSolverFactory: Linear solver which uses QR pivot decomposition.
leibniz(DenseMatrix64F) - Static method in class org.ejml.alg.dense.misc.NaiveDeterminant: Computes the determinant of the matrix using Leibniz's formula
linear(int) - Static method in class org.ejml.alg.dense.linsol.LinearSolverFactory: Creates a solver for linear systems.
LinearSolver<T extends Matrix64F> - Interface in org.ejml.alg.dense.linsol: An implementation of LinearSolver solves a linear system or inverts a matrix.
LinearSolverAbstract - 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() - Constructor for class org.ejml.alg.dense.linsol.LinearSolverAbstract
LinearSolverChol - Class in org.ejml.alg.dense.linsol.chol
LinearSolverChol(CholeskyDecompositionCommon) - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverChol
LinearSolverCholBlock64 - Class in org.ejml.alg.dense.linsol.chol: A wrapper around CholeskyDecomposition(BlockMatrix64F) that allows it to be easily used with DenseMatrix64F.
LinearSolverCholBlock64() - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverCholBlock64
LinearSolverCholLDL - Class in org.ejml.alg.dense.linsol.chol
LinearSolverCholLDL(CholeskyDecompositionLDL) - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL
LinearSolverCholLDL() - Constructor for class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL
LinearSolverFactory - Class in org.ejml.alg.dense.linsol: 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.alg.dense.linsol.LinearSolverFactory
LinearSolverLu - 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(LUDecompositionBase) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLu
LinearSolverLu(LUDecompositionBase, boolean) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLu
LinearSolverLuBase - Class in org.ejml.alg.dense.linsol.lu
LinearSolverLuBase(LUDecompositionBase) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
LinearSolverLuKJI - 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(LUDecompositionBase) - Constructor for class org.ejml.alg.dense.linsol.lu.LinearSolverLuKJI
LinearSolverQr - Class in org.ejml.alg.dense.linsol.qr: A solver for a generic QR decomposition algorithm.
LinearSolverQr(QRDecomposition<DenseMatrix64F>) - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQr: Creates a linear solver that uses QR decomposition.
LinearSolverQrBlock64 - Class in org.ejml.alg.dense.linsol.qr: Wrapper around BlockQrHouseHolderSolver that allows it to process DenseMatrix64F.
LinearSolverQrBlock64() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrBlock64
LinearSolverQrHouse - Class in org.ejml.alg.dense.linsol.qr: QR decomposition can be used to solve for systems.
LinearSolverQrHouse() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse: Creates a linear solver that uses QR decomposition.
LinearSolverQrHouseCol - Class in org.ejml.alg.dense.linsol.qr: QR decomposition can be used to solve for systems.
LinearSolverQrHouseCol() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol: Creates a linear solver that uses QR decomposition.
LinearSolverQrHouseTran - Class in org.ejml.alg.dense.linsol.qr: QR decomposition can be used to solve for systems.
LinearSolverQrHouseTran() - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran: Creates a linear solver that uses QR decomposition.
LinearSolverQrpHouseCol - Class in org.ejml.alg.dense.linsol.qr: Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn decomposition directly.
LinearSolverQrpHouseCol(QRColPivDecompositionHouseholderColumn, boolean) - Constructor for class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol
LinearSolverSafe<T extends Matrix64F> - Class in org.ejml.alg.dense.linsol: Ensures that any linear solver it is wrapped around will never modify the input matrices.
LinearSolverSafe(LinearSolver<T>) - Constructor for class org.ejml.alg.dense.linsol.LinearSolverSafe
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
loadBin(String) - Static method in class org.ejml.ops.MatrixIO: Loads a DeneMatrix64F which has been saved to file using Java binary serialization.
loadBinary(String) - Static method in class org.ejml.simple.SimpleBase: Loads a new matrix from a serialized binary file.
loadCSV(String) - Static method in class org.ejml.ops.MatrixIO: Reads a matrix in which has been encoded using a Column Space Value (CSV) file format.
loadCSV(String, int, int) - Static method in class org.ejml.ops.MatrixIO: Reads a matrix in which has been encoded using a Column Space Value (CSV) file format.
loadCSV(String) - Static method in class org.ejml.simple.SimpleBase: Loads a new matrix from a CSV file.
lower(D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.chol.BlockInnerCholesky
lower(double[], int, int) - Static method in class org.ejml.alg.block.decomposition.chol.BlockInnerCholesky: Performs an inline lower Cholesky decomposition on an inner row-major matrix.
lower - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
lu(int) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Returns a new instance of the Lower Upper (LU) decomposition.
LU - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
LUDecomposition<T extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: LU Decomposition refactors the original matrix such that:

P^T*L*U = A
where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A is the original matrix.
LUDecompositionAlt - Class in org.ejml.alg.dense.decomposition.lu: An LU decomposition algorithm that originally came from Jama.
LUDecompositionAlt() - Constructor for class org.ejml.alg.dense.decomposition.lu.LUDecompositionAlt
LUDecompositionBase - Class in org.ejml.alg.dense.decomposition.lu: Contains common data structures and operations for LU decomposition algorithms.
LUDecompositionBase() - Constructor for class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
LUDecompositionNR - Class in org.ejml.alg.dense.decomposition.lu: This code is inspired from what's in numerical recipes.
LUDecompositionNR() - Constructor for class org.ejml.alg.dense.decomposition.lu.LUDecompositionNR

M

m - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
main(String[]) - Static method in class org.ejml.alg.block.GeneratorBlockInnerMultiplication
main(String[]) - Static method in class org.ejml.alg.dense.misc.GenerateDeterminantFromMinor
main(String[]) - Static method in class org.ejml.alg.dense.misc.GenerateInverseFromMinor
main(String[]) - Static method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
mat - Variable in class org.ejml.simple.SimpleBase: Internal matrix which this is a wrapper around.
Matrix64F - Class in org.ejml.data: An abstract class for all 64 bit floating point rectangular matrices.
Matrix64F() - Constructor for class org.ejml.data.Matrix64F
MatrixComponent - Class in org.ejml.ops: Renders a matrix as an image.
MatrixComponent(int, int) - Constructor for class org.ejml.ops.MatrixComponent
MatrixDimensionException - Exception in org.ejml.alg.dense.mult: If two matrices did not have compatible dimensions for the operation this exception is thrown.
MatrixDimensionException() - Constructor for exception org.ejml.alg.dense.mult.MatrixDimensionException
MatrixDimensionException(String) - Constructor for exception org.ejml.alg.dense.mult.MatrixDimensionException
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
MatrixIO - Class in org.ejml.ops: Provides simple to use routines for reading and writing matrices to and from files.
MatrixIO() - Constructor for class org.ejml.ops.MatrixIO
MatrixIterator - Class in org.ejml.data: This is a matrix iterator for traversing through a submatrix.
MatrixIterator(Matrix64F, boolean, int, int, int, int) - Constructor for class org.ejml.data.MatrixIterator: Creates a new iterator for traversing through a submatrix inside this matrix.
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
max(double[], int, int) - Static method in class org.ejml.UtilEjml
maxAbs - Variable in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn
maxCols - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr
maxCols - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol
maxCols - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran
maxRows - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr
maxRows - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol
maxRows - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran
maxValue - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
maxWidth - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
maxWidth - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
MEMORY - Static variable in class org.ejml.EjmlParameters: Used to adjust which algorithms are used.
memset(double[], double) - Static method in class org.ejml.UtilEjml
memset(double[], double, int) - Static method in class org.ejml.UtilEjml
memset(int[], int, int) - Static method in class org.ejml.UtilEjml
minLength - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
minLength - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
minLength - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
minus(int, double) - Method in class org.ejml.data.D1Matrix64F: Subtracts the specified value to the internal data array at the specified index.

Equivalent to: this.data[index] -= val;
minus(T) - Method in class org.ejml.simple.SimpleBase: Returns the result of matrix subtraction:

c = a - b

where c is the returned matrix, a is this matrix, and b is the passed in matrix.
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
modifiesA() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL
modifiesA() - Method in class org.ejml.alg.dense.linsol.gj.GaussJordan
modifiesA() - Method in class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot
modifiesA() - Method in interface org.ejml.alg.dense.linsol.LinearSolver: Returns true if the passed in matrix to LinearSolver.setA(org.ejml.data.Matrix64F) is modified.
modifiesA() - Method in class org.ejml.alg.dense.linsol.LinearSolverSafe
modifiesA() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled
modifiesA() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr
modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse
modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol
modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran
modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol
modifiesA() - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp
modifiesA() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd
modifiesA() - Method in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64
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
modifiesB() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL
modifiesB() - Method in class org.ejml.alg.dense.linsol.gj.GaussJordan
modifiesB() - Method in class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot
modifiesB() - Method in interface org.ejml.alg.dense.linsol.LinearSolver: Returns true if the passed in 'B' matrix to LinearSolver.solve(org.ejml.data.Matrix64F, org.ejml.data.Matrix64F) is modified.
modifiesB() - Method in class org.ejml.alg.dense.linsol.LinearSolverSafe
modifiesB() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled
modifiesB() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr
modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse
modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol
modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran
modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol
modifiesB() - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp
modifiesB() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd
modifiesB() - Method in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64
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(DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.alg.dense.mult.VectorVectorMult
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(T) - Method in class org.ejml.simple.SimpleBase: Returns a matrix which is the result of matrix multiplication:

c = a * b

where c is the returned matrix, a is this matrix, and b is the passed in matrix.
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_COLUMN_SWITCH - Static variable in class org.ejml.EjmlParameters: At what point does it switch from a small matrix multiply to the reorder version.
MULT_INNER_SWITCH - Static variable in class org.ejml.EjmlParameters
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
MULT_TRANAB_COLUMN_SWITCH - Static variable in class org.ejml.EjmlParameters
multA_u(int, D1Submatrix64F, D1Submatrix64F, int) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalBlockHelper: 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.TridiagonalDecompositionBlockHouseholder: 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(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(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(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
N - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper
n - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
N - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
NaiveDeterminant - Class in org.ejml.alg.dense.misc: Computes the determinant using different very simple and computationally expensive algorithms.
NaiveDeterminant() - Constructor for class org.ejml.alg.dense.misc.NaiveDeterminant
negative() - Method in class org.ejml.simple.SimpleBase: Returns a new matrix whose elements are the negative of 'this' matrix's elements.

b_ij = -a_ij
next() - Method in class org.ejml.alg.dense.misc.PermuteArray: Creates the next permutation in the sequence.
next() - Method in class org.ejml.data.MatrixIterator
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
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} }
normF() - Method in class org.ejml.simple.SimpleBase: Computes the Frobenius normal of the matrix:

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
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, double) - Static method in class org.ejml.ops.SingularOps: Extracts the nullity of a matrix using a preexisting decomposition.
nullity() - Method in class org.ejml.simple.SimpleSVD: The nullity of the decomposed matrix.
nullSpace(SingularValueDecomposition<DenseMatrix64F>, DenseMatrix64F) - Static method in class org.ejml.ops.SingularOps: Computes the null space from the provided singular value.
nullSpace() - Method in class org.ejml.simple.SimpleSVD: Computes the null space from an SVD.
numberOfSingularValues() - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: The number of singular values in the matrix.
numberOfSingularValues() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
numCols - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
numCols - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
numCols - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
numCols() - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: Number of columns in the decomposed matrix.
numCols() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
numCols - Variable in class org.ejml.alg.dense.linsol.LinearSolverAbstract
numCols - Variable in class org.ejml.data.Matrix64F: Number of columns in the matrix.
numCols() - Method in class org.ejml.simple.SimpleBase: Returns the number of columns in this matrix.
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
numRows - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
numRows - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
numRows() - Method in interface org.ejml.alg.dense.decomposition.SingularValueDecomposition: Number of rows in the decomposed matrix.
numRows() - Method in class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
numRows - Variable in class org.ejml.alg.dense.linsol.LinearSolverAbstract
numRows - Variable in class org.ejml.data.Matrix64F: Number of rows in the matrix.
numRows() - Method in class org.ejml.simple.SimpleBase: Returns the number of rows in this matrix.
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 - package org.ejml
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.gj - package org.ejml.alg.dense.linsol.gj
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.generic - package org.ejml.alg.generic
org.ejml.data - package org.ejml.data
org.ejml.ops - package org.ejml.ops
org.ejml.simple - package org.ejml.simple
original - Variable in class org.ejml.data.D1Submatrix64F
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
parseMatrix(String, int) - Static method in class org.ejml.UtilEjml: Give a string of numbers it returns a DenseMatrix
parseWords(String) - Method in class org.ejml.ops.ReadCsv: Extracts the words from a string.
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.
PermuteArray - Class in org.ejml.alg.dense.misc: Generates a permutations of an integer set from 0 to N-1.
PermuteArray(int) - Constructor for class org.ejml.alg.dense.misc.PermuteArray
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
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
pivsign - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
plus(int, double) - Method in class org.ejml.data.D1Matrix64F: Adds the specified value to the internal data array at the specified index.

Equivalent to: this.data[index] += val;
plus(T) - Method in class org.ejml.simple.SimpleBase: Returns the result of matrix addition:

c = a + b

where c is the returned matrix, a is this matrix, and b is the passed in matrix.
plus(double, T) - Method in class org.ejml.simple.SimpleBase: Performs a matrix addition and scale operation.

c = a + β*b

where c is the returned matrix, a is this matrix, and b is the passed in matrix.
print() - Method in class org.ejml.data.BlockMatrix64F
print() - Method in class org.ejml.data.D1Submatrix64F
print() - Method in class org.ejml.data.DenseMatrix64F: Prints the value of this matrix to the screen.
print(String) - Method in class org.ejml.data.DenseMatrix64F: Prints the value of this matrix to the screen using the same format as {@link java.io.PrintStream#printf).
print() - Method in class org.ejml.data.Matrix64F
print(PrintStream, Matrix64F) - Static method in class org.ejml.ops.MatrixIO
print(PrintStream, Matrix64F, int, int) - Static method in class org.ejml.ops.MatrixIO
print(PrintStream, Matrix64F, String) - Static method in class org.ejml.ops.MatrixIO
print(PrintStream, Matrix64F, String, int, int, int, int) - Static method in class org.ejml.ops.MatrixIO
print() - Method in class org.ejml.simple.SimpleBase: Prints the matrix to standard out.
print(int, int) - Method in class org.ejml.simple.SimpleBase: Prints the matrix to standard out with the specified precision.
print(String) - Method in class org.ejml.simple.SimpleBase: Prints the matrix to standard out given a {@link java.io.PrintStream#printf) style floating point format, e.g.
printDimensions() - Method in class org.ejml.simple.SimpleBase: Prints the number of rows and column in this matrix.
printMatrix() - Method in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper
printMatrix() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
printMult_aux(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMult_reroder(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMult_small(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMultTransA_reorder(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMultTransA_small(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMultTransAB(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMultTransAB_aux(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
printMultTransB(boolean, boolean) - Method in class org.ejml.alg.dense.mult.GeneratorMatrixMatrixMult
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.alg.dense.linsol.LinearSolverFactory: Returns a solver which uses the pseudo inverse.
pseudoInverse() - Method in class org.ejml.simple.SimpleBase: Computes the Moore-Penrose 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
QR - Variable in class org.ejml.alg.block.linsol.qr.BlockQrHouseHolderSolver
qr(int, int) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Returns a new instance of the QR decomposition.
QR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder: Where the Q and R matrices are stored.
QR - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran: Where the Q and R matrices are stored.
QRColPivDecompositionHouseholderColumn - Class in org.ejml.alg.dense.decomposition.qr: Performs QR decomposition with column pivoting.
QRColPivDecompositionHouseholderColumn(double) - Constructor for class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn: Configure parameters.
QRColPivDecompositionHouseholderColumn() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn
QRDecomposition<T extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
QRDecompositionBlock64 - Class in org.ejml.alg.dense.decomposition.qr: Wrapper that allows QRDecomposition(BlockMatrix64F) to be used as a QRDecomposition(DenseMatrix64F).
QRDecompositionBlock64() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionBlock64
QRDecompositionHouseholder - Class in org.ejml.alg.dense.decomposition.qr: This variation of QR decomposition uses reflections to compute the Q matrix.
QRDecompositionHouseholder() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
QRDecompositionHouseholderColumn - Class in org.ejml.alg.dense.decomposition.qr: Householder QR decomposition is rich in operations along the columns of the matrix.
QRDecompositionHouseholderColumn() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
QRDecompositionHouseholderTran - Class in org.ejml.alg.dense.decomposition.qr: Householder QR decomposition is rich in operations along the columns of the matrix.
QRDecompositionHouseholderTran() - Constructor for class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
QrHelperFunctions - Class in org.ejml.alg.dense.decomposition.qr: Contains different functions that are useful for computing the QR decomposition of a matrix.
QrHelperFunctions() - Constructor for class org.ejml.alg.dense.decomposition.qr.QrHelperFunctions
qrp(int, int) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Returns a new instance of QR decomposition with column pivoting.
A*P = Q*R
where A is the input matrix, and P is the pivot matrix.
QRPDecomposition<T extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the 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(DenseMatrix64F, SingularValueDecomposition<DenseMatrix64F>) - Static method in class org.ejml.alg.dense.decomposition.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.alg.dense.decomposition.DecompositionFactory
quality(DenseMatrix64F, EigenDecomposition<DenseMatrix64F>) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Computes a metric which measures the the quality of an eigen value decomposition.
quality() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
quality() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol
quality() - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL
quality() - Method in class org.ejml.alg.dense.linsol.gj.GaussJordan
quality() - Method in class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot
quality() - Method in interface org.ejml.alg.dense.linsol.LinearSolver: Returns a very quick to compute measure of how singular the system is.
quality() - Method in class org.ejml.alg.dense.linsol.LinearSolverSafe
quality() - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled
quality() - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
quality() - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp
quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr
quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse
quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol
quality() - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran
quality() - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd
quality() - Method in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64
quality() - Method in class org.ejml.simple.SimpleEVD: Computes the quality of the computed decomposition.
quality() - Method in class org.ejml.simple.SimpleSVD: Computes the quality of the computed decomposition.
qualityTriangular(boolean, 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
R - Variable in class org.ejml.alg.dense.linsol.qr.LinearSolverQr
R11 - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp
rand - Variable in class org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper
rand - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
random(int, int, double, double, Random) - Static method in class org.ejml.simple.SimpleMatrix: Creates a new SimpleMatrix with random elements drawn from a uniform distribution from minValue to maxValue.
RandomMatrices - Class in org.ejml.ops: Contains a list of functions for creating random 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
rank - Variable in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp
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, double) - Static method in class org.ejml.ops.SingularOps: Extracts the rank of a matrix using a preexisting decomposition.
rank() - Method in class org.ejml.simple.SimpleSVD: Returns the rank of the decomposed matrix.
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: 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: 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
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
read() - Method in class org.ejml.ops.ReadMatrixCsv: Reads in a DenseMatrix64F from the IO stream.
read(int, int) - Method in class org.ejml.ops.ReadMatrixCsv
ReadCsv - Class in org.ejml.ops: Base class for reading CSV formatted files.
ReadCsv(InputStream) - Constructor for class org.ejml.ops.ReadCsv: Constructor for ReadCsv
ReadMatrixCsv - Class in org.ejml.ops: Reads in a matrix that is in a column-space-value (CSV) format.
ReadMatrixCsv(InputStream) - Constructor for class org.ejml.ops.ReadMatrixCsv: Specifies where input comes from.
real - Variable in class org.ejml.data.Complex64F
recursive(DenseMatrix64F) - Static method in class org.ejml.alg.dense.misc.NaiveDeterminant: A simple and inefficient algorithm for computing the determinant.
remove() - Method in class org.ejml.data.MatrixIterator
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
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
reshape(int, int, boolean) - Method in class org.ejml.data.BlockMatrix64F
reshape(int, int, int, boolean) - Method in class org.ejml.data.BlockMatrix64F
reshape(int, int, boolean) - Method in class org.ejml.data.DenseMatrix64F
reshape(int, int, boolean) - Method in class org.ejml.data.Matrix64F: Changes the number of rows and columns in the matrix, allowing its size to grow or shrink.
reshape(int, int) - Method in class org.ejml.data.Matrix64F: Equivalent to invoking reshape(numRows,numCols,false);
reshape(int, int) - Method in class org.ejml.simple.SimpleBase: Reshapes the matrix to the specified number of rows and columns.
row0 - Variable in class org.ejml.data.D1Submatrix64F
row1 - Variable in class org.ejml.data.D1Submatrix64F
RowD1Matrix64F - Class in org.ejml.data: Interface for a row-major matrix that uses a single array internally.
RowD1Matrix64F() - Constructor for class org.ejml.data.RowD1Matrix64F
rowsToVector(DenseMatrix64F, DenseMatrix64F[]) - Static method in class org.ejml.ops.CommonOps: Converts the rows in a matrix into a set of vectors.

S

saveBin(Matrix64F, String) - Static method in class org.ejml.ops.MatrixIO: Saves a matrix to disk using Java binary serialization.
saveCSV(Matrix64F, String) - Static method in class org.ejml.ops.MatrixIO: Saves a matrix to disk using in a Column Space Value (CSV) format.
saveToFileBinary(String) - Method in class org.ejml.simple.SimpleBase: Saves this matrix to a file as a serialized binary object.
saveToFileCSV(String) - Method in class org.ejml.simple.SimpleBase: Saves this matrix to a file in a CSV format.
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(double) - Method in class org.ejml.simple.SimpleBase: Returns the result of scaling each element by 'val':
b_i,j = val*a_i,j
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
set(BlockMatrix64F) - Method in class org.ejml.data.BlockMatrix64F
set(int, int, double) - Method in class org.ejml.data.BlockMatrix64F
set(double, double) - Method in class org.ejml.data.Complex64F
set(D1Matrix64F) - Method in class org.ejml.data.D1Matrix64F: Sets the value of this matrix to be the same as the value of the provided matrix.
set(int, double) - Method in class org.ejml.data.D1Matrix64F: Sets the element's value at the specified index.
set(int, int, double) - Method in class org.ejml.data.D1Submatrix64F
set(int, int, double) - Method in class org.ejml.data.DenseMatrix64F: Assigns the element in the Matrix to the specified value.
set(int, int, boolean, double...) - Method in class org.ejml.data.DenseMatrix64F: Sets this matrix equal to the matrix encoded in the array.
set(int, int, double) - Method in class org.ejml.data.Matrix64F: Sets the value of the specified matrix element.
set(Matrix64F) - Method in class org.ejml.data.Matrix64F: Assigns the value of 'this' matrix to be the same as 'A'.
set(double) - Method in class org.ejml.data.MatrixIterator: Sets the value of the current element.
set(D1Matrix64F, double) - Static method in class org.ejml.ops.CommonOps: Sets every element in the matrix to the specified value.

a_ij = value
set(T) - Method in class org.ejml.simple.SimpleBase: Sets the elements in this matrix to be equal to the elements in the passed in matrix.
set(double) - Method in class org.ejml.simple.SimpleBase: Sets all the elements in this matrix equal to the specified value.

a_ij = val
set(int, int, double) - Method in class org.ejml.simple.SimpleBase: Assigns the element in the Matrix to the specified value.
set(int, double) - Method in class org.ejml.simple.SimpleBase: Assigns an element a value based on its index in the internal array..
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
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.gj.GaussJordan
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot
setA(T) - Method in interface org.ejml.alg.dense.linsol.LinearSolver: Specifies the A matrix in the linear equation.
setA(T) - Method in class org.ejml.alg.dense.linsol.LinearSolverSafe
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverUnrolled
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuBase
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuKJI
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.BaseLinearSolverQrp
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr: Performs QR decomposition on A
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse: Performs QR decomposition on A
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol: Performs QR decomposition on A
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran: Performs QR decomposition on A
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd
setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64: Converts 'A' into a block matrix and call setA() on the block matrix solver.
setChecks(boolean, boolean, boolean) - Method in class org.ejml.alg.dense.decomposition.eig.watched.WatchedDoubleStepQREigen
setColumn(int, int, double...) - Method in class org.ejml.simple.SimpleBase: Assigns consecutive elements inside a column to the provided array.

A(offset:(offset + values.length),column) = values
setComment(char) - Method in class org.ejml.ops.ReadCsv: Sets the comment character.
setComputeVectorsWithValues(boolean) - Method in class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition
setData(double[]) - Method in class org.ejml.data.D1Matrix64F: Changes the internal array reference.
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock: Declares additional internal data structures.
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
setExpectedMaxSize(int, int) - Method in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
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
setIdentity(BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps: Sets the value of A to all zeros except along the diagonal.
setIdentity(RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps: Sets all the diagonal elements equal to one and everything else equal to zero.
setImaginary(double) - Method in class org.ejml.data.Complex64F
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: 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
setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQr: Changes the size of the matrix it can solve for
setMaxSize(int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse
setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol
setMaxSize(int, int) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran
setMaxValue(double) - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
setnull(T[]) - Static method in class org.ejml.UtilEjml
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(Matrix64F, 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.
setReal(double) - Method in class org.ejml.data.Complex64F
setReshape(DenseMatrix64F) - Method in class org.ejml.data.DenseMatrix64F: Sets the value and shape of this matrix to be identical to the specified matrix.
setRow(int, int, double...) - Method in class org.ejml.simple.SimpleBase: Assigns consecutive elements inside a row to the provided array.

A(row,offset:(offset + values.length)) = values
setSaveW(boolean) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: 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.
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
setToInverseL(double[]) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverChol: Sets the matrix to the inverse using a lower triangular matrix.
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
sgn() - Method in class org.ejml.alg.dense.misc.PermuteArray: Returns signature of the permutation.
show(D1Matrix64F, String) - Static method in class org.ejml.ops.MatrixVisualization: Creates a window visually showing the matrix's state.
SimpleBase<T extends SimpleBase> - Class in org.ejml.simple: Parent of SimpleMatrix implements all the standard matrix operations and uses generics to allow the returned matrix type to be changed.
SimpleBase(int, int) - Constructor for class org.ejml.simple.SimpleBase
SimpleBase() - Constructor for class org.ejml.simple.SimpleBase
SimpleEVD<T extends SimpleMatrix> - Class in org.ejml.simple: Wrapper around EigenDecomposition for SimpleMatrix
SimpleEVD(DenseMatrix64F) - Constructor for class org.ejml.simple.SimpleEVD
SimpleMatrix - Class in org.ejml.simple: SimpleMatrix is a wrapper around DenseMatrix64F that provides an easy to use object oriented interface for performing matrix operations.
SimpleMatrix(int, int, boolean, double...) - Constructor for class org.ejml.simple.SimpleMatrix: Creates a new matrix which has the same value as the matrix encoded in the provided array.
SimpleMatrix(double[][]) - Constructor for class org.ejml.simple.SimpleMatrix: Creates a matrix with the values and shape defined by the 2D array 'data'.
SimpleMatrix(int, int) - Constructor for class org.ejml.simple.SimpleMatrix: Creates a new matrix that is initially set to zero with the specified dimensions.
SimpleMatrix(SimpleMatrix) - Constructor for class org.ejml.simple.SimpleMatrix: Creats a new SimpleMatrix which is identical to the original.
SimpleMatrix(DenseMatrix64F) - Constructor for class org.ejml.simple.SimpleMatrix: Creates a new SimpleMatrix which is a copy of the DenseMatrix64F.
SimpleMatrix(Matrix64F) - Constructor for class org.ejml.simple.SimpleMatrix: Creates a new SimpleMatrix which is a copy of the Matrix64F.
SimpleMatrix() - Constructor for class org.ejml.simple.SimpleMatrix
SimpleSVD<T extends SimpleMatrix> - Class in org.ejml.simple: Wrapper around SVD for simple matrix.
SimpleSVD(DenseMatrix64F, boolean) - Constructor for class org.ejml.simple.SimpleSVD
SingularMatrixException - Exception in org.ejml.alg.dense.decomposition: This exception is thrown if an operation can not be finished because the matrix is singular.
SingularMatrixException() - Constructor for exception org.ejml.alg.dense.decomposition.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
SingularValueDecomposition<T extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition: This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined as:

A = U * W * V ^T

where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix.
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: 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.LinearSolverCholBlock64: Only converts the B matrix and passes that onto solve.
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.chol.LinearSolverCholLDL: 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.gj.GaussJordan: Computes the inverse of matrix A and solves for X for each column in B.
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.gj.GaussJordanNoPivot: Computes the inverse of matrix A and solves for X for each column in B.
solve(T, T) - Method in interface org.ejml.alg.dense.linsol.LinearSolver: Solves for X in the linear system, A*X=B.
solve(T, T) - Method in class org.ejml.alg.dense.linsol.LinearSolverSafe
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
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.lu.LinearSolverLuKJI: 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: Solves for X using the QR decomposition.
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouse: Solves for X using the QR decomposition.
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseCol: Solves for X using the QR decomposition.
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrHouseTran: Solves for X using the QR decomposition.
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.LinearSolverQrpHouseCol
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.svd.SolvePseudoInverseSvd
solve(DenseMatrix64F, DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64: Converts B and X into block matrices and calls the block matrix solve routine.
solve(DenseMatrix64F, DenseMatrix64F, DenseMatrix64F) - Static method in class org.ejml.ops.CommonOps: Solves for x in the following equation:

A*x = b
solve(T) - Method in class org.ejml.simple.SimpleBase: Solves for X in the following equation:

x = a^-1b

where 'a' is this matrix and 'b' is an n by p matrix.
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: 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 - Class in org.ejml.alg.dense.linsol.qr: A pseudo inverse solver for a generic QR column pivot decomposition algorithm.
SolvePseudoInverseQrp(QRPDecomposition<DenseMatrix64F>, boolean) - Constructor for class org.ejml.alg.dense.linsol.qr.SolvePseudoInverseQrp: 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.
sortByIndex(double[], int) - Static method in class org.ejml.UtilEjml
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
sub(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
subEquals(D1Matrix64F, D1Matrix64F) - Static method in class org.ejml.ops.CommonOps: Performs the following subtraction operation:

a = a - b
a_ij = a_ij - b_ij
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
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) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Returns a new instance of a SingularValueDecomposition which will compute the full decomposition..
svd(int, int, boolean, boolean, boolean) - Static method in class org.ejml.alg.dense.decomposition.DecompositionFactory: Returns a new instance of a SingularValueDecomposition which can be configured to compute U and V matrices or not, be in compact form.
svd() - Method in class org.ejml.simple.SimpleBase: Computes a full Singular Value Decomposition (SVD) of this matrix with the eigenvalues ordered from largest to smallest.
svd(boolean) - Method in class org.ejml.simple.SimpleBase: Computes the SVD in either compact format or full format.
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 - 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(boolean, boolean, boolean) - Constructor for class org.ejml.alg.dense.decomposition.svd.SvdImplicitQrDecompose
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
SWITCH_BLOCK64_CHOLESKY - Static variable in class org.ejml.EjmlParameters: At which point should it switch to the block cholesky algorithm.
SWITCH_BLOCK64_QR - Static variable in class org.ejml.EjmlParameters
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 - 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(TridiagonalSimilarDecomposition<DenseMatrix64F>, boolean) - Constructor for class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition
SymmetricQRAlgorithmDecomposition(boolean) - Constructor for class org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition
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.alg.dense.linsol.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: Performs this operation:

c = c - a^Ta
where c is a submatrix.

T

T - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
t - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
tau - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
tau - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
tau - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
times(int, double) - Method in class org.ejml.data.D1Matrix64F: Multiplies the specified value to the internal data array at the specified index.

Equivalent to: this.data[index] *= val;
tmp - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
tmp - Variable in class org.ejml.alg.dense.decomposition.BaseDecompositionBlock64
TOL - Static variable in class org.ejml.ops.CovarianceOps
TOLERANCE - Static variable in class org.ejml.UtilEjml: Default tolerance.
toString() - Method in class org.ejml.data.Complex64F
toString() - Method in class org.ejml.data.DenseMatrix64F: Converts the array into a string format for display purposes.
toString() - Method in class org.ejml.simple.SimpleBase: Converts the array into a string format for display purposes.
totalSteps - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
trace(RowD1Matrix64F) - Static method in class org.ejml.ops.CommonOps: This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }
trace() - Method in class org.ejml.simple.SimpleBase: Computes the trace of the matrix.
transpose(BlockMatrix64F, BlockMatrix64F) - Static method in class org.ejml.alg.block.BlockMatrixOps: Transposes a block matrix.
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'.
transpose() - Method in class org.ejml.simple.SimpleBase: Returns the transpose of this matrix.
a^T
TRANSPOSE_SWITCH - Static variable in class org.ejml.EjmlParameters
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.alg.dense.decomposition.DecompositionFactory: Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.
TridiagonalBlockHelper - Class in org.ejml.alg.block.decomposition.hessenberg
TridiagonalBlockHelper() - Constructor for class org.ejml.alg.block.decomposition.hessenberg.TridiagonalBlockHelper
TridiagonalDecompositionBlock - Class in org.ejml.alg.dense.decomposition.hessenberg: Wrapper around a block implementation of TridiagonalSimilarDecomposition
TridiagonalDecompositionBlock() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionBlock
TridiagonalDecompositionBlock(int) - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionBlock
TridiagonalDecompositionBlockHouseholder - Class in org.ejml.alg.block.decomposition.hessenberg: Tridiagonal similar decomposition for block matrices.
TridiagonalDecompositionBlockHouseholder() - Constructor for class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
TridiagonalDecompositionHouseholder - Class in org.ejml.alg.dense.decomposition.hessenberg: Performs a similar tridiagonal decomposition on a square symmetric input matrix.
TridiagonalDecompositionHouseholder() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder
TridiagonalDecompositionHouseholderOrig - 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() - Constructor for class org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig
TridiagonalSimilarDecomposition<MatrixType extends Matrix64F> - Interface in org.ejml.alg.dense.decomposition.hessenberg: Finds the decomposition of a matrix in the form of:

A = O*T*O^T

where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix.
tridiagUpperRow(int, D1Submatrix64F, double[], D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalBlockHelper: Performs a tridiagonal decomposition on the upper row only.

U

u - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
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
unsafe_get(int, int) - Method in class org.ejml.data.BlockMatrix64F
unsafe_get(int, int) - Method in class org.ejml.data.DenseMatrix64F
unsafe_get(int, int) - Method in class org.ejml.data.Matrix64F: Same as Matrix64F.get(int, int) but does not perform bounds check on input parameters.
unsafe_set(int, int, double) - Method in class org.ejml.data.BlockMatrix64F
unsafe_set(int, int, double) - Method in class org.ejml.data.DenseMatrix64F
unsafe_set(int, int, double) - Method in class org.ejml.data.Matrix64F: Same as Matrix64F.set(int, int, double) but does not perform bounds check on input parameters.
updateA(D1Submatrix64F) - Method in class org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR: 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: 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: 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: 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: Upgrades the basic solution to the optimal 2-norm solution.
upper(D1Submatrix64F) - Static method in class org.ejml.alg.block.decomposition.chol.BlockInnerCholesky
upper(double[], int, int) - Static method in class org.ejml.alg.block.decomposition.chol.BlockInnerCholesky: Performs an inline upper Cholesky decomposition on an inner row-major matrix.
Ut - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
UtilEjml - Class in org.ejml: Various functions that are useful but don't have a clear location that they belong in.
UtilEjml() - Constructor for class org.ejml.UtilEjml

V

V - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
v - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholder
v - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderColumn
v - Variable in class org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran
value - Variable in class org.ejml.data.Eigenpair
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.
valueOf(String) - Static method in enum org.ejml.EjmlParameters.MemoryUsage: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.ejml.EjmlParameters.MemoryUsage: Returns an array containing the constants of this enum type, in the order they are declared.
vector - Variable in class org.ejml.data.Eigenpair
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
VERSION - Static variable in class org.ejml.UtilEjml: Version string used to indicate which version of EJML is being used.
Vt - Variable in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
vv - Variable in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionCommon
vv - Variable in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase

W

WatchedDoubleStepQRDecomposition - 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(boolean) - Constructor for class org.ejml.alg.dense.decomposition.eig.WatchedDoubleStepQRDecomposition
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
wrap(double[], int, int, int) - Static method in class org.ejml.data.BlockMatrix64F
wrap(int, int, double[]) - Static method in class org.ejml.data.DenseMatrix64F: Creates a new DenseMatrix64F around the provided data.
wrap(DenseMatrix64F) - Static method in class org.ejml.simple.SimpleMatrix: Creates a new SimpleMatrix with the specified DenseMatrix64F used as its internal matrix.
WrapLinearSolverBlock64 - Class in org.ejml.alg.dense.linsol: Wrapper that allows LinearSolver to implements LinearSolver.
WrapLinearSolverBlock64(LinearSolver<BlockMatrix64F>) - Constructor for class org.ejml.alg.dense.linsol.WrapLinearSolverBlock64

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

Z

zero() - Method in class org.ejml.data.DenseMatrix64F: Sets all elements equal to zero.
zero() - Method in class org.ejml.simple.SimpleBase: Sets all the elements in the matrix equal to zero.
zerosM - Variable in class org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder
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
_getVV() - Method in class org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL
_getVV() - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase
_process() - Method in class org.ejml.alg.dense.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm
_setA(DenseMatrix64F) - Method in class org.ejml.alg.dense.linsol.LinearSolverAbstract
_solveVectorInternal(double[]) - Method in class org.ejml.alg.dense.decomposition.lu.LUDecompositionBase: a specialized version of solve that avoid additional checks that are not needed.

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