Uses of Class
org.ejml.data.FMatrix1Row

Packages that use FMatrix1Row

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 FMatrix1Row in org.ejml.data

Subclasses of FMatrix1Row in org.ejml.data

Modifier and Type	Class	Description
class	FMatrixRMaj	FMatrixRMaj is a row matrix with real elements that are 32-bit floats.

Uses of FMatrix1Row in org.ejml.dense.row

Methods in org.ejml.dense.row with type parameters of type FMatrix1Row

Modifier and Type	Method	Description
static <T extends FMatrix1Row> T	CommonOps_FDRM.mult(float 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 FMatrix1Row> T	CommonOps_FDRM.mult(T a, T b, T output)	Performs the following operation: c = a * b cij = ∑k=1:n { aik * bkj}
static <T extends FMatrix1Row> T	CommonOps_MT_FDRM.mult(float 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 FMatrix1Row> T	CommonOps_MT_FDRM.mult(T a, T b, T output)	Performs the following operation: c = a * b cij = ∑k=1:n { aik * bkj}
static <T extends FMatrix1Row> T	CommonOps_FDRM.multInner(T a, T output)	Computes the matrix multiplication inner product: c = aT * a cij = ∑k=1:n { aki * akj}
static <T extends FMatrix1Row> T	CommonOps_FDRM.multOuter(T a, T output)	Computes the matrix multiplication outer product: c = a * aT cij = ∑k=1:m { aik * ajk}
static <T extends FMatrix1Row> T	CommonOps_FDRM.multTransA(float 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 FMatrix1Row> T	CommonOps_FDRM.multTransA(T a, T b, T output)	Performs the following operation: c = aT * b cij = ∑k=1:n { aki * bkj}
static <T extends FMatrix1Row> T	CommonOps_MT_FDRM.multTransA(float 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 FMatrix1Row> T	CommonOps_MT_FDRM.multTransA(T a, T b, T output)	Performs the following operation: c = aT * b cij = ∑k=1:n { aki * bkj}
static <T extends FMatrix1Row> T	CommonOps_FDRM.multTransAB(float 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 FMatrix1Row> T	CommonOps_FDRM.multTransAB(T a, T b, T output)	Performs the following operation: c = aT * bT cij = ∑k=1:n { aki * bjk}
static <T extends FMatrix1Row> T	CommonOps_MT_FDRM.multTransAB(float 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 FMatrix1Row> T	CommonOps_MT_FDRM.multTransAB(T a, T b, T output)	Performs the following operation: c = aT * bT cij = ∑k=1:n { aki * bjk}
static <T extends FMatrix1Row> T	CommonOps_FDRM.multTransB(float 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 FMatrix1Row> T	CommonOps_FDRM.multTransB(T a, T b, T output)	Performs the following operation: c = a * bT cij = ∑k=1:n { aik * bjk}
static <T extends FMatrix1Row> T	CommonOps_MT_FDRM.multTransB(float 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 FMatrix1Row> T	CommonOps_MT_FDRM.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 FMatrix1Row

Modifier and Type	Method	Description
static void	SpecializedOps_FDRM.addIdentity(FMatrix1Row A, FMatrix1Row B, float alpha)	Performs the following operation: B = A + αI
static FMatrixRMaj	SpecializedOps_FDRM.createReflector(FMatrix1Row u)	Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static float	SpecializedOps_FDRM.diagProd(FMatrix1Row T)	Computes the product of the diagonal elements.
static float	NormOps_FDRM.elementP(FMatrix1Row A, float p)	Element wise p-norm: norm = {∑i=1:m ∑j=1:n { |aij|p}}1/p
static void	CommonOps_FDRM.multAdd(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * a * b cij = cij + α * ∑k=1:n { aik * bkj}
static void	CommonOps_FDRM.multAdd(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + a * b cij = cij + ∑k=1:n { aik * bkj}
static void	CommonOps_MT_FDRM.multAdd(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * a * b cij = cij + α * ∑k=1:n { aik * bkj}
static void	CommonOps_MT_FDRM.multAdd(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + a * b cij = cij + ∑k=1:n { aik * bkj}
static void	CommonOps_FDRM.multAddTransA(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * aT * b cij =cij + α * ∑k=1:n { aki * bkj}
static void	CommonOps_FDRM.multAddTransA(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + aT * b cij = cij + ∑k=1:n { aki * bkj}
static void	CommonOps_MT_FDRM.multAddTransA(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * aT * b cij =cij + α * ∑k=1:n { aki * bkj}
static void	CommonOps_MT_FDRM.multAddTransA(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + aT * b cij = cij + ∑k=1:n { aki * bkj}
static void	CommonOps_FDRM.multAddTransAB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * aT * bT cij = cij + α * ∑k=1:n { aki * bjk}
static void	CommonOps_FDRM.multAddTransAB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + aT * bT cij = cij + ∑k=1:n { aki * bjk}
static void	CommonOps_MT_FDRM.multAddTransAB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * aT * bT cij = cij + α * ∑k=1:n { aki * bjk}
static void	CommonOps_MT_FDRM.multAddTransAB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + aT * bT cij = cij + ∑k=1:n { aki * bjk}
static void	CommonOps_FDRM.multAddTransB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * a * bT cij = cij + α * ∑k=1:n { aik * bjk}
static void	CommonOps_FDRM.multAddTransB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + a * bT cij = cij + ∑k=1:n { aik * bjk}
static void	CommonOps_MT_FDRM.multAddTransB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + α * a * bT cij = cij + α * ∑k=1:n { aik * bjk}
static void	CommonOps_MT_FDRM.multAddTransB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)	Performs the following operation: c = c + a * bT cij = cij + ∑k=1:n { aik * bjk}
static void	CommonOps_FDRM.setIdentity(FMatrix1Row mat)	Sets all the diagonal elements equal to one and everything else equal to zero.
static FMatrixRMaj[]	SpecializedOps_FDRM.splitIntoVectors(FMatrix1Row A, boolean column)	Takes a matrix and splits it into a set of row or column vectors.
static void	SpecializedOps_FDRM.subvector(FMatrix1Row A, int rowA, int colA, int length, boolean row, int offsetV, FMatrix1Row v)	Extracts a row or column vector from matrix A.
static float	CommonOps_FDRM.trace(FMatrix1Row a)	Computes the matrix trace: trace = ∑i=1:n { aii } where n = min(numRows,numCols)

Uses of FMatrix1Row in org.ejml.dense.row.linsol

Methods in org.ejml.dense.row.linsol with parameters of type FMatrix1Row

Modifier and Type	Method	Description
static void	InvertUsingSolve_FDRM.invert(LinearSolverDense<FMatrixRMaj> solver, FMatrix1Row A, FMatrixRMaj A_inv)
static void	InvertUsingSolve_FDRM.invert(LinearSolverDense<FMatrixRMaj> solver, FMatrix1Row A, FMatrixRMaj A_inv, FMatrixRMaj storage)

Uses of FMatrix1Row in org.ejml.dense.row.misc

Methods in org.ejml.dense.row.misc with parameters of type FMatrix1Row

Modifier and Type	Method	Description
static void	TransposeAlgs_FDRM.block(FMatrix1Row A, FMatrix1Row A_tran, int blockLength)	Performs a transpose across block sub-matrices.
static void	TransposeAlgs_MT_FDRM.block(FMatrix1Row A, FMatrix1Row A_tran, int blockLength)	Performs a transpose across block sub-matrices.
float	DeterminantFromMinor_FDRM.compute(FMatrix1Row mat)	Computes the determinant for the specified matrix.
static float	UnrolledDeterminantFromMinor_FDRM.det(FMatrix1Row mat)
static float	UnrolledDeterminantFromMinor_FDRM.det2(FMatrix1Row mat)
static float	UnrolledDeterminantFromMinor_FDRM.det3(FMatrix1Row mat)
static float	UnrolledDeterminantFromMinor_FDRM.det4(FMatrix1Row mat)
static float	UnrolledDeterminantFromMinor_FDRM.det5(FMatrix1Row mat)
static float	UnrolledDeterminantFromMinor_FDRM.det6(FMatrix1Row mat)
static boolean	UnrolledCholesky_FDRM.lower(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower1(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower2(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower3(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower4(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower5(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower6(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.lower7(FMatrix1Row A, FMatrix1Row L)
static void	TransposeAlgs_FDRM.square(FMatrix1Row A)	In-place transpose for a square matrix.
static void	TransposeAlgs_MT_FDRM.square(FMatrix1Row A)	In-place transpose for a square matrix.
static void	TransposeAlgs_FDRM.standard(FMatrix1Row A, FMatrix1Row A_tran)	A straight forward transpose.
static void	TransposeAlgs_MT_FDRM.standard(FMatrix1Row A, FMatrix1Row A_tran)	A straight forward transpose.
static boolean	UnrolledCholesky_FDRM.upper(FMatrix1Row A, FMatrix1Row L)
static boolean	UnrolledCholesky_FDRM.upper1(FMatrix1Row A, FMatrix1Row R)
static boolean	UnrolledCholesky_FDRM.upper2(FMatrix1Row A, FMatrix1Row R)
static boolean	UnrolledCholesky_FDRM.upper3(FMatrix1Row A, FMatrix1Row R)
static boolean	UnrolledCholesky_FDRM.upper4(FMatrix1Row A, FMatrix1Row R)
static boolean	UnrolledCholesky_FDRM.upper5(FMatrix1Row A, FMatrix1Row R)
static boolean	UnrolledCholesky_FDRM.upper6(FMatrix1Row A, FMatrix1Row R)
static boolean	UnrolledCholesky_FDRM.upper7(FMatrix1Row A, FMatrix1Row R)

Uses of FMatrix1Row in org.ejml.dense.row.mult

Methods in org.ejml.dense.row.mult with parameters of type FMatrix1Row

Modifier and Type	Method	Description
static void	VectorVectorMult_FDRM.addOuterProd(float gamma, FMatrixD1 x, FMatrixD1 y, FMatrix1Row A)	Adds to A ∈ ℜ m × n the results of an outer product multiplication of the two vectors.
static void	MatrixMultProduct_FDRM.inner_reorder(FMatrix1Row a, FMatrix1Row c)
static void	MatrixMultProduct_FDRM.inner_reorder_lower(FMatrix1Row A, FMatrix1Row B)	Computes the inner product of A times A and stores the results in B.
static void	MatrixMultProduct_FDRM.inner_reorder_upper(FMatrix1Row a, FMatrix1Row c)
static void	MatrixMultProduct_FDRM.inner_small(FMatrix1Row a, FMatrix1Row c)
static float	MatrixVectorMult_FDRM.innerProduct(float[] a, int offsetA, FMatrix1Row B, float[] c, int offsetC)	scalar = AT*B*C
static void	MatrixVectorMult_FDRM.mult(FMatrix1Row A, FMatrixD1 B, FMatrixD1 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_FDRM.mult_aux(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.mult_aux(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.mult_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.mult_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.mult_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.mult_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.mult_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.mult_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.mult_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.mult_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixVectorMult_FDRM.multAdd(FMatrix1Row A, FMatrixD1 B, FMatrixD1 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_FDRM.multAdd_aux(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.multAdd_aux(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.multAdd_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAdd_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAdd_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAdd_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAdd_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAdd_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAdd_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAdd_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAddTransA_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAddTransA_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransA_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransA_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixVectorMult_FDRM.multAddTransA_reorder(FMatrix1Row A, FMatrixD1 B, FMatrixD1 C)	An alternative implementation of MatrixVectorMult_FDRM.multAddTransA_small(org.ejml.data.FMatrix1Row, org.ejml.data.FMatrixD1, org.ejml.data.FMatrixD1) that performs well on large matrices.
static void	MatrixMatrixMult_FDRM.multAddTransA_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAddTransA_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransA_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransA_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixVectorMult_FDRM.multAddTransA_small(FMatrix1Row A, FMatrixD1 B, FMatrixD1 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_FDRM.multAddTransAB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAddTransAB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransAB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransAB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAddTransAB_aux(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.multAddTransAB_aux(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.multAddTransB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multAddTransB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multAddTransB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multTransA_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multTransA_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransA_reorder(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransA_reorder(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixVectorMult_FDRM.multTransA_reorder(FMatrix1Row A, FMatrixD1 B, FMatrixD1 C)	An alternative implementation of MatrixVectorMult_FDRM.multTransA_small(org.ejml.data.FMatrix1Row, org.ejml.data.FMatrixD1, org.ejml.data.FMatrixD1) that performs well on large matrices.
static void	MatrixMatrixMult_FDRM.multTransA_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multTransA_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransA_small(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransA_small(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixVectorMult_FDRM.multTransA_small(FMatrix1Row A, FMatrixD1 B, FMatrixD1 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_FDRM.multTransAB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multTransAB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransAB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransAB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multTransAB_aux(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.multTransAB_aux(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_FDRM.multTransB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_FDRM.multTransB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransB(float alpha, FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMatrixMult_MT_FDRM.multTransB(FMatrix1Row A, FMatrix1Row B, FMatrix1Row C)
static void	MatrixMultProduct_FDRM.outer(FMatrix1Row a, FMatrix1Row c)
static void	VectorVectorMult_FDRM.outerProd(FMatrixD1 x, FMatrixD1 y, FMatrix1Row A)	Sets A ∈ ℜ m × n equal to an outer product multiplication of the two vectors.
static void	SubmatrixOps_FDRM.setSubMatrix(FMatrix1Row src, FMatrix1Row dst, int srcRow, int srcCol, int dstRow, int dstCol, int numSubRows, int numSubCols)