Uses of Class
org.ejml.data.DMatrix1Row

Packages that use DMatrix1Row

Package	Description
org.ejml.data
org.ejml.dense.row
org.ejml.dense.row.linsol
org.ejml.dense.row.misc
org.ejml.dense.row.mult

Uses of DMatrix1Row in org.ejml.data

Subclasses of DMatrix1Row in org.ejml.data

Modifier and Type	Class	Description
class	DMatrixRMaj	DMatrixRMaj is a row matrix with real elements that are 64-bit floats.

Uses of DMatrix1Row in org.ejml.dense.row

Methods in org.ejml.dense.row with type parameters of type DMatrix1Row

Modifier and Type	Method	Description
static <T extends DMatrix1Row> T	CommonOps_DDRM.mult(double alpha, T a, T b, T output)	Performs the following operation: c = α * a * b cij = α ∑k=1:n { * aik * bkj}
static <T extends DMatrix1Row> T	CommonOps_DDRM.mult(T a, T b, T output)	Performs the following operation: c = a * b cij = ∑k=1:n { aik * bkj}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.mult(double alpha, T a, T b, T output)	Performs the following operation: c = α * a * b cij = α ∑k=1:n { * aik * bkj}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.mult(T a, T b, T output)	Performs the following operation: c = a * b cij = ∑k=1:n { aik * bkj}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multInner(T a, T output)	Computes the matrix multiplication inner product: c = aT * a cij = ∑k=1:n { aki * akj}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multOuter(T a, T output)	Computes the matrix multiplication outer product: c = a * aT cij = ∑k=1:m { aik * ajk}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multTransA(double alpha, T a, T b, T output)	Performs the following operation: c = α * aT * b cij = α ∑k=1:n { aki * bkj}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multTransA(T a, T b, T output)	Performs the following operation: c = aT * b cij = ∑k=1:n { aki * bkj}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.multTransA(double alpha, T a, T b, T output)	Performs the following operation: c = α * aT * b cij = α ∑k=1:n { aki * bkj}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.multTransA(T a, T b, T output)	Performs the following operation: c = aT * b cij = ∑k=1:n { aki * bkj}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multTransAB(double alpha, T a, T b, T output)	Performs the following operation: c = α * aT * bT cij = α ∑k=1:n { aki * bjk}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multTransAB(T a, T b, T output)	Performs the following operation: c = aT * bT cij = ∑k=1:n { aki * bjk}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.multTransAB(double alpha, T a, T b, T output)	Performs the following operation: c = α * aT * bT cij = α ∑k=1:n { aki * bjk}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.multTransAB(T a, T b, T output)	Performs the following operation: c = aT * bT cij = ∑k=1:n { aki * bjk}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multTransB(double alpha, T a, T b, T output)	Performs the following operation: c = α * a * bT cij = α ∑k=1:n { aik * bjk}
static <T extends DMatrix1Row> T	CommonOps_DDRM.multTransB(T a, T b, T output)	Performs the following operation: c = a * bT cij = ∑k=1:n { aik * bjk}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.multTransB(double alpha, T a, T b, T output)	Performs the following operation: c = α * a * bT cij = α ∑k=1:n { aik * bjk}
static <T extends DMatrix1Row> T	CommonOps_MT_DDRM.multTransB(T a, T b, T output)	Performs the following operation: c = a * bT cij = ∑k=1:n { aik * bjk}

Methods in org.ejml.dense.row with parameters of type DMatrix1Row

Modifier and Type	Method	Description
static void	SpecializedOps_DDRM.addIdentity(DMatrix1Row A, DMatrix1Row B, double alpha)	Performs the following operation: B = A + αI
static DMatrixRMaj	SpecializedOps_DDRM.createReflector(DMatrix1Row u)	Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static double	SpecializedOps_DDRM.diagProd(DMatrix1Row T)	Computes the product of the diagonal elements.
static double	NormOps_DDRM.elementP(DMatrix1Row A, double p)	Element wise p-norm: norm = {∑i=1:m ∑j=1:n { |aij|p}}1/p
static void	CommonOps_DDRM.multAdd(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * a * b cij = cij + α * ∑k=1:n { aik * bkj}
static void	CommonOps_DDRM.multAdd(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + a * b cij = cij + ∑k=1:n { aik * bkj}
static void	CommonOps_MT_DDRM.multAdd(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * a * b cij = cij + α * ∑k=1:n { aik * bkj}
static void	CommonOps_MT_DDRM.multAdd(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + a * b cij = cij + ∑k=1:n { aik * bkj}
static void	CommonOps_DDRM.multAddTransA(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * aT * b cij =cij + α * ∑k=1:n { aki * bkj}
static void	CommonOps_DDRM.multAddTransA(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + aT * b cij = cij + ∑k=1:n { aki * bkj}
static void	CommonOps_MT_DDRM.multAddTransA(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * aT * b cij =cij + α * ∑k=1:n { aki * bkj}
static void	CommonOps_MT_DDRM.multAddTransA(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + aT * b cij = cij + ∑k=1:n { aki * bkj}
static void	CommonOps_DDRM.multAddTransAB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * aT * bT cij = cij + α * ∑k=1:n { aki * bjk}
static void	CommonOps_DDRM.multAddTransAB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + aT * bT cij = cij + ∑k=1:n { aki * bjk}
static void	CommonOps_MT_DDRM.multAddTransAB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * aT * bT cij = cij + α * ∑k=1:n { aki * bjk}
static void	CommonOps_MT_DDRM.multAddTransAB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + aT * bT cij = cij + ∑k=1:n { aki * bjk}
static void	CommonOps_DDRM.multAddTransB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * a * bT cij = cij + α * ∑k=1:n { aik * bjk}
static void	CommonOps_DDRM.multAddTransB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + a * bT cij = cij + ∑k=1:n { aik * bjk}
static void	CommonOps_MT_DDRM.multAddTransB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + α * a * bT cij = cij + α * ∑k=1:n { aik * bjk}
static void	CommonOps_MT_DDRM.multAddTransB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)	Performs the following operation: c = c + a * bT cij = cij + ∑k=1:n { aik * bjk}
static void	CommonOps_DDRM.setIdentity(DMatrix1Row mat)	Sets all the diagonal elements equal to one and everything else equal to zero.
static DMatrixRMaj[]	SpecializedOps_DDRM.splitIntoVectors(DMatrix1Row A, boolean column)	Takes a matrix and splits it into a set of row or column vectors.
static void	SpecializedOps_DDRM.subvector(DMatrix1Row A, int rowA, int colA, int length, boolean row, int offsetV, DMatrix1Row v)	Extracts a row or column vector from matrix A.
static double	CommonOps_DDRM.trace(DMatrix1Row a)	Computes the matrix trace: trace = ∑i=1:n { aii } where n = min(numRows,numCols)

Uses of DMatrix1Row in org.ejml.dense.row.linsol

Methods in org.ejml.dense.row.linsol with parameters of type DMatrix1Row

Modifier and Type	Method	Description
static void	InvertUsingSolve_DDRM.invert(LinearSolverDense<DMatrixRMaj> solver, DMatrix1Row A, DMatrixRMaj A_inv)
static void	InvertUsingSolve_DDRM.invert(LinearSolverDense<DMatrixRMaj> solver, DMatrix1Row A, DMatrixRMaj A_inv, DMatrixRMaj storage)

Uses of DMatrix1Row in org.ejml.dense.row.misc

Methods in org.ejml.dense.row.misc with parameters of type DMatrix1Row

Modifier and Type	Method	Description
static void	TransposeAlgs_DDRM.block(DMatrix1Row A, DMatrix1Row A_tran, int blockLength)	Performs a transpose across block sub-matrices.
static void	TransposeAlgs_MT_DDRM.block(DMatrix1Row A, DMatrix1Row A_tran, int blockLength)	Performs a transpose across block sub-matrices.
double	DeterminantFromMinor_DDRM.compute(DMatrix1Row mat)	Computes the determinant for the specified matrix.
static double	UnrolledDeterminantFromMinor_DDRM.det(DMatrix1Row mat)
static double	UnrolledDeterminantFromMinor_DDRM.det2(DMatrix1Row mat)
static double	UnrolledDeterminantFromMinor_DDRM.det3(DMatrix1Row mat)
static double	UnrolledDeterminantFromMinor_DDRM.det4(DMatrix1Row mat)
static double	UnrolledDeterminantFromMinor_DDRM.det5(DMatrix1Row mat)
static double	UnrolledDeterminantFromMinor_DDRM.det6(DMatrix1Row mat)
static boolean	UnrolledCholesky_DDRM.lower(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower1(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower2(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower3(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower4(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower5(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower6(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.lower7(DMatrix1Row A, DMatrix1Row L)
static void	TransposeAlgs_DDRM.square(DMatrix1Row A)	In-place transpose for a square matrix.
static void	TransposeAlgs_MT_DDRM.square(DMatrix1Row A)	In-place transpose for a square matrix.
static void	TransposeAlgs_DDRM.standard(DMatrix1Row A, DMatrix1Row A_tran)	A straight forward transpose.
static void	TransposeAlgs_MT_DDRM.standard(DMatrix1Row A, DMatrix1Row A_tran)	A straight forward transpose.
static boolean	UnrolledCholesky_DDRM.upper(DMatrix1Row A, DMatrix1Row L)
static boolean	UnrolledCholesky_DDRM.upper1(DMatrix1Row A, DMatrix1Row R)
static boolean	UnrolledCholesky_DDRM.upper2(DMatrix1Row A, DMatrix1Row R)
static boolean	UnrolledCholesky_DDRM.upper3(DMatrix1Row A, DMatrix1Row R)
static boolean	UnrolledCholesky_DDRM.upper4(DMatrix1Row A, DMatrix1Row R)
static boolean	UnrolledCholesky_DDRM.upper5(DMatrix1Row A, DMatrix1Row R)
static boolean	UnrolledCholesky_DDRM.upper6(DMatrix1Row A, DMatrix1Row R)
static boolean	UnrolledCholesky_DDRM.upper7(DMatrix1Row A, DMatrix1Row R)

Uses of DMatrix1Row in org.ejml.dense.row.mult

Methods in org.ejml.dense.row.mult with parameters of type DMatrix1Row

Modifier and Type	Method	Description
static void	VectorVectorMult_DDRM.addOuterProd(double gamma, DMatrixD1 x, DMatrixD1 y, DMatrix1Row A)	Adds to A ∈ ℜ m × n the results of an outer product multiplication of the two vectors.
static void	MatrixMultProduct_DDRM.inner_reorder(DMatrix1Row a, DMatrix1Row c)
static void	MatrixMultProduct_DDRM.inner_reorder_lower(DMatrix1Row A, DMatrix1Row B)	Computes the inner product of A times A and stores the results in B.
static void	MatrixMultProduct_DDRM.inner_reorder_upper(DMatrix1Row a, DMatrix1Row c)
static void	MatrixMultProduct_DDRM.inner_small(DMatrix1Row a, DMatrix1Row c)
static double	MatrixVectorMult_DDRM.innerProduct(double[] a, int offsetA, DMatrix1Row B, double[] c, int offsetC)	scalar = AT*B*C
static void	MatrixVectorMult_DDRM.mult(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)	Performs a matrix vector multiply. c = A * b and c = A * bT ci = Sum{ j=1:n, aij * bj} where A is a matrix, b is a column or transposed row vector, and c is a column vector.
static void	MatrixMatrixMult_DDRM.mult_aux(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.mult_aux(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.mult_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.mult_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.mult_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.mult_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.mult_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.mult_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.mult_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.mult_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixVectorMult_DDRM.multAdd(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)	Performs a matrix vector multiply. C = C + A * B or C = C + A * BT ci = Sum{ j=1:n, ci + aij * bj} where A is a matrix, B is a column or transposed row vector, and C is a column vector.
static void	MatrixMatrixMult_DDRM.multAdd_aux(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.multAdd_aux(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.multAdd_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAdd_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAdd_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAdd_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAdd_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAdd_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAdd_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAdd_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAddTransA_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAddTransA_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransA_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransA_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixVectorMult_DDRM.multAddTransA_reorder(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)	An alternative implementation of MatrixVectorMult_DDRM.multAddTransA_small(org.ejml.data.DMatrix1Row, org.ejml.data.DMatrixD1, org.ejml.data.DMatrixD1) that performs well on large matrices.
static void	MatrixMatrixMult_DDRM.multAddTransA_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAddTransA_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransA_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransA_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixVectorMult_DDRM.multAddTransA_small(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)	Performs a matrix vector multiply. C = C + AT * B or C = CT + AT * BT ci = Sum{ j=1:n, ci + aji * bj} where A is a matrix, B is a column or transposed row vector, and C is a column vector.
static void	MatrixMatrixMult_DDRM.multAddTransAB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAddTransAB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransAB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransAB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAddTransAB_aux(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.multAddTransAB_aux(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.multAddTransB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multAddTransB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multAddTransB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multTransA_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multTransA_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransA_reorder(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransA_reorder(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixVectorMult_DDRM.multTransA_reorder(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)	An alternative implementation of MatrixVectorMult_DDRM.multTransA_small(org.ejml.data.DMatrix1Row, org.ejml.data.DMatrixD1, org.ejml.data.DMatrixD1) that performs well on large matrices.
static void	MatrixMatrixMult_DDRM.multTransA_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multTransA_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransA_small(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransA_small(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixVectorMult_DDRM.multTransA_small(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)	Performs a matrix vector multiply. C = AT * B where B is a column vector. or C = AT * BT where B is a row vector.
static void	MatrixMatrixMult_DDRM.multTransAB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multTransAB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransAB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransAB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multTransAB_aux(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.multTransAB_aux(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C, @org.jetbrains.annotations.Nullable double[] aux)
static void	MatrixMatrixMult_DDRM.multTransB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_DDRM.multTransB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransB(double alpha, DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMatrixMult_MT_DDRM.multTransB(DMatrix1Row A, DMatrix1Row B, DMatrix1Row C)
static void	MatrixMultProduct_DDRM.outer(DMatrix1Row a, DMatrix1Row c)
static void	VectorVectorMult_DDRM.outerProd(DMatrixD1 x, DMatrixD1 y, DMatrix1Row A)	Sets A ∈ ℜ m × n equal to an outer product multiplication of the two vectors.
static void	SubmatrixOps_DDRM.setSubMatrix(DMatrix1Row src, DMatrix1Row dst, int srcRow, int srcCol, int dstRow, int dstCol, int numSubRows, int numSubCols)