Uses of Class org.ejml.data.DMatrix5x5

Packages that use DMatrix5x5

Package

Description

org.ejml.data

org.ejml.dense.fixed

org.ejml.ops

Uses of DMatrix5x5 in org.ejml.data

Constructors in org.ejml.data with parameters of type DMatrix5x5

Modifier

Constructor

Description

DMatrix5x5(DMatrix5x5 o)
Uses of DMatrix5x5 in org.ejml.dense.fixed

Methods in org.ejml.dense.fixed that return DMatrix5x5

Modifier and Type

Method

Description

static DMatrix5x5

CommonOps_DDF5.transpose(DMatrix5x5 input, DMatrix5x5 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 DMatrix5x5

Modifier and Type

Method

Description

static void

CommonOps_DDF5.add(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

static void

CommonOps_DDF5.addEquals(DMatrix5x5 a, DMatrix5x5 b)

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

static void

CommonOps_DDF5.changeSign(DMatrix5x5 a)

Changes the sign of every element in the matrix.

a_ij = -a_ij

static boolean

CommonOps_DDF5.cholL(DMatrix5x5 A)

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

static boolean

CommonOps_DDF5.cholU(DMatrix5x5 A)

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

static double

CommonOps_DDF5.det(DMatrix5x5 mat)

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

static void

CommonOps_DDF5.diag(DMatrix5x5 input, DMatrix5 out)

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

static void

CommonOps_DDF5.divide(DMatrix5x5 a, double alpha)

Performs an in-place element by element scalar division.

static void

CommonOps_DDF5.divide(DMatrix5x5 a, double alpha, DMatrix5x5 b)

Performs an element by element scalar division.

static void

CommonOps_DDF5.elementDiv(DMatrix5x5 a, DMatrix5x5 b)

Performs an element by element division operation:

a_ij = a_ij / b_ij

static void

CommonOps_DDF5.elementDiv(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs an element by element division operation:

c_ij = a_ij / b_ij

static double

CommonOps_DDF5.elementMax(DMatrix5x5 a)

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

Max{ a_ij } for all i and j

static double

CommonOps_DDF5.elementMaxAbs(DMatrix5x5 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 double

CommonOps_DDF5.elementMin(DMatrix5x5 a)

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

Min{ a_ij } for all i and j

static double

CommonOps_DDF5.elementMinAbs(DMatrix5x5 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_DDF5.elementMult(DMatrix5x5 a, DMatrix5x5 b)

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

static void

CommonOps_DDF5.elementMult(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

static DMatrix5

CommonOps_DDF5.extractColumn(DMatrix5x5 a, int column, DMatrix5 out)

Extracts the column from the matrix a.

static DMatrix5

CommonOps_DDF5.extractRow(DMatrix5x5 a, int row, DMatrix5 out)

Extracts the row from the matrix a.

static double

NormOps_DDF5.fastNormF(DMatrix5x5 M)

static void

CommonOps_DDF5.fill(DMatrix5x5 a, double v)

Sets every element in the matrix to the specified value.

a_ij = value

static boolean

MatrixFeatures_DDF5.hasUncountable(DMatrix5x5 a)

static boolean

CommonOps_DDF5.invert(DMatrix5x5 a, DMatrix5x5 inv)

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

static boolean

MatrixFeatures_DDF5.isIdentical(DMatrix5x5 a, DMatrix5x5 b, double tol)

static void

CommonOps_DDF5.mult(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_DDF5.mult(DMatrix5 a, DMatrix5x5 b, DMatrix5 c)

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

static void

CommonOps_DDF5.mult(DMatrix5x5 a, DMatrix5 b, DMatrix5 c)

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

static void

CommonOps_DDF5.mult(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_DDF5.multAdd(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_DDF5.multAdd(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_DDF5.multAddOuter(double alpha, DMatrix5x5 A, double beta, DMatrix5 u, DMatrix5 v, DMatrix5x5 C)

C = αA + βu*v^T

static void

CommonOps_DDF5.multAddTransA(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_DDF5.multAddTransA(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_DDF5.multAddTransAB(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multAddTransAB(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multAddTransB(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multAddTransB(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multTransA(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_DDF5.multTransA(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_DDF5.multTransAB(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multTransAB(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multTransB(double alpha, DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

CommonOps_DDF5.multTransB(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

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

static void

NormOps_DDF5.normalizeF(DMatrix5x5 M)

static double

NormOps_DDF5.normF(DMatrix5x5 M)

static void

CommonOps_DDF5.scale(double alpha, DMatrix5x5 a)

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

static void

CommonOps_DDF5.scale(double alpha, DMatrix5x5 a, DMatrix5x5 b)

Performs an element by element scalar multiplication.

b_ij = α*a_ij

static void

CommonOps_DDF5.setIdentity(DMatrix5x5 a)

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

static void

CommonOps_DDF5.subtract(DMatrix5x5 a, DMatrix5x5 b, DMatrix5x5 c)

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

static void

CommonOps_DDF5.subtractEquals(DMatrix5x5 a, DMatrix5x5 b)

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

static double

CommonOps_DDF5.trace(DMatrix5x5 a)

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

static void

CommonOps_DDF5.transpose(DMatrix5x5 m)

Performs an in-place transpose.

static DMatrix5x5

CommonOps_DDF5.transpose(DMatrix5x5 input, DMatrix5x5 output)

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

b_ij = a_ji
where 'b' is the transpose of 'a'.
Uses of DMatrix5x5 in org.ejml.ops

Methods in org.ejml.ops that return DMatrix5x5

Modifier and Type

Method

Description

static DMatrix5x5

DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix5x5 output)

Converts DMatrixRMaj into DMatrix5x5

Methods in org.ejml.ops with parameters of type DMatrix5x5

Modifier and Type

Method

Description

static DMatrixRMaj

DConvertMatrixStruct.convert(DMatrix5x5 input, @Nullable DMatrixRMaj output)

Converts DMatrix5x5 into DMatrixRMaj.

static DMatrix5x5

DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix5x5 output)

Converts DMatrixRMaj into DMatrix5x5

Uses of Classorg.ejml.data.DMatrix5x5

Uses of DMatrix5x5 in org.ejml.data

Uses of DMatrix5x5 in org.ejml.dense.fixed

Uses of DMatrix5x5 in org.ejml.ops

Uses of Class
org.ejml.data.DMatrix5x5