Uses of Class org.ejml.data.FMatrix5x5

Packages that use FMatrix5x5

Package

Description

org.ejml.data

org.ejml.dense.fixed

org.ejml.ops

Uses of FMatrix5x5 in org.ejml.data

Constructors in org.ejml.data with parameters of type FMatrix5x5

Modifier

Constructor

Description

FMatrix5x5(FMatrix5x5 o)
Uses of FMatrix5x5 in org.ejml.dense.fixed

Methods in org.ejml.dense.fixed that return FMatrix5x5

Modifier and Type

Method

Description

static FMatrix5x5

CommonOps_FDF5.transpose(FMatrix5x5 input, FMatrix5x5 output)

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

Methods in org.ejml.dense.fixed with parameters of type FMatrix5x5

Modifier and Type

Method

Description

static void

CommonOps_FDF5.add(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

static void

CommonOps_FDF5.addEquals(FMatrix5x5 a, FMatrix5x5 b)

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

static void

CommonOps_FDF5.changeSign(FMatrix5x5 a)

Changes the sign of every element in the matrix.

a_ij = -a_ij

static boolean

CommonOps_FDF5.cholL(FMatrix5x5 A)

Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.

static boolean

CommonOps_FDF5.cholU(FMatrix5x5 A)

Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.

static float

CommonOps_FDF5.det(FMatrix5x5 mat)

Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.

static void

CommonOps_FDF5.diag(FMatrix5x5 input, FMatrix5 out)

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

static void

CommonOps_FDF5.divide(FMatrix5x5 a, float alpha)

Performs an in-place element by element scalar division.

static void

CommonOps_FDF5.divide(FMatrix5x5 a, float alpha, FMatrix5x5 b)

Performs an element by element scalar division.

static void

CommonOps_FDF5.elementDiv(FMatrix5x5 a, FMatrix5x5 b)

Performs an element by element division operation:

a_ij = a_ij / b_ij

static void

CommonOps_FDF5.elementDiv(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs an element by element division operation:

c_ij = a_ij / b_ij

static float

CommonOps_FDF5.elementMax(FMatrix5x5 a)

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

static float

CommonOps_FDF5.elementMaxAbs(FMatrix5x5 a)

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

static float

CommonOps_FDF5.elementMin(FMatrix5x5 a)

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

static float

CommonOps_FDF5.elementMinAbs(FMatrix5x5 a)

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

static void

CommonOps_FDF5.elementMult(FMatrix5x5 a, FMatrix5x5 b)

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

static void

CommonOps_FDF5.elementMult(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

static FMatrix5

CommonOps_FDF5.extractColumn(FMatrix5x5 a, int column, FMatrix5 out)

Extracts the column from the matrix a.

static FMatrix5

CommonOps_FDF5.extractRow(FMatrix5x5 a, int row, FMatrix5 out)

Extracts the row from the matrix a.

static float

NormOps_FDF5.fastNormF(FMatrix5x5 M)

static void

CommonOps_FDF5.fill(FMatrix5x5 a, float v)

Sets every element in the matrix to the specified value.

a_ij = value

static boolean

MatrixFeatures_FDF5.hasUncountable(FMatrix5x5 a)

static boolean

CommonOps_FDF5.invert(FMatrix5x5 a, FMatrix5x5 inv)

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

static boolean

MatrixFeatures_FDF5.isIdentical(FMatrix5x5 a, FMatrix5x5 b, float tol)

static void

CommonOps_FDF5.mult(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF5.mult(FMatrix5 a, FMatrix5x5 b, FMatrix5 c)

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

static void

CommonOps_FDF5.mult(FMatrix5x5 a, FMatrix5 b, FMatrix5 c)

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

static void

CommonOps_FDF5.mult(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF5.multAdd(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF5.multAdd(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF5.multAddOuter(float alpha, FMatrix5x5 A, float beta, FMatrix5 u, FMatrix5 v, FMatrix5x5 C)

C = αA + βu*v^T

static void

CommonOps_FDF5.multAddTransA(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF5.multAddTransA(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF5.multAddTransAB(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multAddTransAB(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multAddTransB(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multAddTransB(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multTransA(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF5.multTransA(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF5.multTransAB(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multTransAB(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multTransB(float alpha, FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_FDF5.multTransB(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

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

static void

NormOps_FDF5.normalizeF(FMatrix5x5 M)

static float

NormOps_FDF5.normF(FMatrix5x5 M)

static void

CommonOps_FDF5.scale(float alpha, FMatrix5x5 a)

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

static void

CommonOps_FDF5.scale(float alpha, FMatrix5x5 a, FMatrix5x5 b)

Performs an element by element scalar multiplication.

b_ij = α*a_ij

static void

CommonOps_FDF5.setIdentity(FMatrix5x5 a)

Sets all the diagonal elements equal to one and everything else equal to zero.

static void

CommonOps_FDF5.subtract(FMatrix5x5 a, FMatrix5x5 b, FMatrix5x5 c)

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

static void

CommonOps_FDF5.subtractEquals(FMatrix5x5 a, FMatrix5x5 b)

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

static float

CommonOps_FDF5.trace(FMatrix5x5 a)

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

static void

CommonOps_FDF5.transpose(FMatrix5x5 m)

Performs an in-place transpose.

static FMatrix5x5

CommonOps_FDF5.transpose(FMatrix5x5 input, FMatrix5x5 output)

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.
Uses of FMatrix5x5 in org.ejml.ops

Methods in org.ejml.ops that return FMatrix5x5

Modifier and Type

Method

Description

static FMatrix5x5

FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix5x5 output)

Converts FMatrixRMaj into FMatrix5x5

Methods in org.ejml.ops with parameters of type FMatrix5x5

Modifier and Type

Method

Description

static FMatrixRMaj

FConvertMatrixStruct.convert(FMatrix5x5 input, @Nullable FMatrixRMaj output)

Converts FMatrix5x5 into FMatrixRMaj.

static FMatrix5x5

FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix5x5 output)

Converts FMatrixRMaj into FMatrix5x5

Uses of Classorg.ejml.data.FMatrix5x5

Uses of FMatrix5x5 in org.ejml.data

Uses of FMatrix5x5 in org.ejml.dense.fixed

Uses of FMatrix5x5 in org.ejml.ops

Uses of Class
org.ejml.data.FMatrix5x5