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

c_ij = α ∑_k=1:n { * a_ik * b_kj}

static <T extends FMatrix1Row> T

CommonOps_FDRM.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 FMatrix1Row> T

CommonOps_MT_FDRM.mult(float 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 FMatrix1Row> T

CommonOps_MT_FDRM.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 FMatrix1Row> T

CommonOps_FDRM.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 FMatrix1Row> T

CommonOps_MT_FDRM.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 FMatrix1Row> T

CommonOps_FDRM.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 FMatrix1Row> T

CommonOps_MT_FDRM.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 FMatrix1Row> T

CommonOps_FDRM.multTransA(float 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 FMatrix1Row> T

CommonOps_FDRM.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 FMatrix1Row> T

CommonOps_MT_FDRM.multTransA(float 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 FMatrix1Row> T

CommonOps_MT_FDRM.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 FMatrix1Row> T

CommonOps_FDRM.multTransAB(float 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 FMatrix1Row> T

CommonOps_FDRM.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 FMatrix1Row> T

CommonOps_MT_FDRM.multTransAB(float 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 FMatrix1Row> T

CommonOps_MT_FDRM.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 FMatrix1Row> T

CommonOps_FDRM.multTransB(float 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 FMatrix1Row> T

CommonOps_FDRM.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 FMatrix1Row> T

CommonOps_MT_FDRM.multTransB(float 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 FMatrix1Row> T

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

static void

CommonOps_FDRM.multAdd(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)

Performs the following operation:

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

static void

CommonOps_MT_FDRM.multAdd(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAdd(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)

Performs the following operation:

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

static void

CommonOps_FDRM.multAddTransA(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransA(FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransA(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransA(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)

Performs the following operation:

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

static void

CommonOps_FDRM.multAddTransAB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransAB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransAB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransAB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransB(float alpha, FMatrix1Row a, FMatrix1Row b, FMatrix1Row 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_FDRM.multAddTransB(FMatrix1Row a, FMatrix1Row b, FMatrix1Row c)

Performs the following operation:

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

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 { a_ii }
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_MT_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_MT_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_MT_FDRM.inner_reorder_upper(FMatrix1Row a, FMatrix1Row c)

static void

MatrixMultProduct_FDRM.inner_small(FMatrix1Row a, FMatrix1Row c)

static void

MatrixMultProduct_MT_FDRM.inner_small(FMatrix1Row a, FMatrix1Row c)

static float

MatrixVectorMult_FDRM.innerProduct(float[] a, int offsetA, FMatrix1Row B, float[] c, int offsetC)

scalar = A^T*B*C

static void

MatrixVectorMult_FDRM.mult(FMatrix1Row A, FMatrixD1 B, FMatrixD1 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_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 * 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_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 + 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_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 = A^T * B
where B is a column vector.
or
C = A^T * B^T
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

MatrixMultProduct_MT_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)

Uses of Classorg.ejml.data.FMatrix1Row

Uses of FMatrix1Row in org.ejml.data

Uses of FMatrix1Row in org.ejml.dense.row

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

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

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

Uses of Class
org.ejml.data.FMatrix1Row