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

c_ij = α ∑_k=1:n { * a_ik * b_kj}

static <T extends DMatrix1Row> T

CommonOps_DDRM.mult(T a, T b, T output)

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

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

c_ij = α ∑_k=1:n { * a_ik * b_kj}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.mult(T a, T b, T output)

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multInner(T a, T output)

Computes the matrix multiplication inner product:

c = a^T * a

c_ij = ∑_k=1:n { a_ki * a_kj}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multInner(T a, T output)

Computes the matrix multiplication inner product:

c = a^T * a

c_ij = ∑_k=1:n { a_ki * a_kj}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multOuter(T a, T output)

Computes the matrix multiplication outer product:

c = a * a^T

c_ij = ∑_k=1:m { a_ik * a_jk}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multOuter(T a, T output)

Computes the matrix multiplication outer product:

c = a * a^T

c_ij = ∑_k=1:m { a_ik * a_jk}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multTransA(double alpha, T a, T b, T output)

Performs the following operation:

c = α * a^T * b

c_ij = α ∑_k=1:n { a_ki * b_kj}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multTransA(T a, T b, T output)

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multTransA(double alpha, T a, T b, T output)

Performs the following operation:

c = α * a^T * b

c_ij = α ∑_k=1:n { a_ki * b_kj}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multTransA(T a, T b, T output)

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multTransAB(double alpha, T a, T b, T output)

Performs the following operation:

c = α * a^T * b^T
c_ij = α ∑_k=1:n { a_ki * b_jk}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multTransAB(T a, T b, T output)

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multTransAB(double alpha, T a, T b, T output)

Performs the following operation:

c = α * a^T * b^T
c_ij = α ∑_k=1:n { a_ki * b_jk}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multTransAB(T a, T b, T output)

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multTransB(double alpha, T a, T b, T output)

Performs the following operation:

c = α * a * b^T
c_ij = α ∑_k=1:n { a_ik * b_jk}

static <T extends DMatrix1Row> T

CommonOps_DDRM.multTransB(T a, T b, T output)

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multTransB(double alpha, T a, T b, T output)

Performs the following operation:

c = α * a * b^T
c_ij = α ∑_k=1:n { a_ik * b_jk}

static <T extends DMatrix1Row> T

CommonOps_MT_DDRM.multTransB(T a, T b, T output)

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

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 u^T
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 { |a_ij|^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
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_DDRM.multAdd(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a * b
c_ij = c_ij + ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_MT_DDRM.multAdd(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a * b
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_MT_DDRM.multAdd(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a * b
c_ij = c_ij + ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_DDRM.multAddTransA(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a^T * b
c_ij =c_ij + α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_DDRM.multAddTransA(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a^T * b
c_ij = c_ij + ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_MT_DDRM.multAddTransA(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a^T * b
c_ij =c_ij + α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_MT_DDRM.multAddTransA(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a^T * b
c_ij = c_ij + ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_DDRM.multAddTransAB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a^T * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ki * b_jk}

static void

CommonOps_DDRM.multAddTransAB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a^T * b^T
c_ij = c_ij + ∑_k=1:n { a_ki * b_jk}

static void

CommonOps_MT_DDRM.multAddTransAB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a^T * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ki * b_jk}

static void

CommonOps_MT_DDRM.multAddTransAB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a^T * b^T
c_ij = c_ij + ∑_k=1:n { a_ki * b_jk}

static void

CommonOps_DDRM.multAddTransB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_jk}

static void

CommonOps_DDRM.multAddTransB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a * b^T
c_ij = c_ij + ∑_k=1:n { a_ik * b_jk}

static void

CommonOps_MT_DDRM.multAddTransB(double alpha, DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + α * a * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_jk}

static void

CommonOps_MT_DDRM.multAddTransB(DMatrix1Row a, DMatrix1Row b, DMatrix1Row c)

Performs the following operation:

c = c + a * b^T
c_ij = c_ij + ∑_k=1:n { a_ik * b_jk}

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 { a_ii }
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_MT_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_MT_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_MT_DDRM.inner_reorder_upper(DMatrix1Row a, DMatrix1Row c)

static void

MatrixMultProduct_DDRM.inner_small(DMatrix1Row a, DMatrix1Row c)

static void

MatrixMultProduct_MT_DDRM.inner_small(DMatrix1Row a, DMatrix1Row c)

static double

MatrixVectorMult_DDRM.innerProduct(double[] a, int offsetA, DMatrix1Row B, double[] c, int offsetC)

scalar = A^T*B*C

static void

MatrixVectorMult_DDRM.mult(DMatrix1Row A, DMatrixD1 B, DMatrixD1 C)

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.

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 * 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.

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 + 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.

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 = A^T * B
where B is a column vector.
or
C = A^T * B^T
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

MatrixMultProduct_MT_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)

Uses of Classorg.ejml.data.DMatrix1Row

Uses of DMatrix1Row in org.ejml.data

Uses of DMatrix1Row in org.ejml.dense.row

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

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

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

Uses of Class
org.ejml.data.DMatrix1Row