Uses of Class org.ejml.data.FMatrix4x4

Packages that use FMatrix4x4

Package

Description

org.ejml.data

org.ejml.dense.fixed

org.ejml.ops

Uses of FMatrix4x4 in org.ejml.data

Constructors in org.ejml.data with parameters of type FMatrix4x4

Modifier

Constructor

Description

FMatrix4x4(FMatrix4x4 o)
Uses of FMatrix4x4 in org.ejml.dense.fixed

Methods in org.ejml.dense.fixed that return FMatrix4x4

Modifier and Type

Method

Description

static FMatrix4x4

CommonOps_FDF4.transpose(FMatrix4x4 input, FMatrix4x4 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 FMatrix4x4

Modifier and Type

Method

Description

static void

CommonOps_FDF4.add(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

static void

CommonOps_FDF4.addEquals(FMatrix4x4 a, FMatrix4x4 b)

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

static void

CommonOps_FDF4.changeSign(FMatrix4x4 a)

Changes the sign of every element in the matrix.

a_ij = -a_ij

static boolean

CommonOps_FDF4.cholL(FMatrix4x4 A)

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

static boolean

CommonOps_FDF4.cholU(FMatrix4x4 A)

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

static float

CommonOps_FDF4.det(FMatrix4x4 mat)

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

static void

CommonOps_FDF4.diag(FMatrix4x4 input, FMatrix4 out)

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

static void

CommonOps_FDF4.divide(FMatrix4x4 a, float alpha)

Performs an in-place element by element scalar division.

static void

CommonOps_FDF4.divide(FMatrix4x4 a, float alpha, FMatrix4x4 b)

Performs an element by element scalar division.

static void

CommonOps_FDF4.elementDiv(FMatrix4x4 a, FMatrix4x4 b)

Performs an element by element division operation:

a_ij = a_ij / b_ij

static void

CommonOps_FDF4.elementDiv(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs an element by element division operation:

c_ij = a_ij / b_ij

static float

CommonOps_FDF4.elementMax(FMatrix4x4 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_FDF4.elementMaxAbs(FMatrix4x4 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_FDF4.elementMin(FMatrix4x4 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_FDF4.elementMinAbs(FMatrix4x4 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_FDF4.elementMult(FMatrix4x4 a, FMatrix4x4 b)

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

static void

CommonOps_FDF4.elementMult(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

static FMatrix4

CommonOps_FDF4.extractColumn(FMatrix4x4 a, int column, FMatrix4 out)

Extracts the column from the matrix a.

static FMatrix4

CommonOps_FDF4.extractRow(FMatrix4x4 a, int row, FMatrix4 out)

Extracts the row from the matrix a.

static float

NormOps_FDF4.fastNormF(FMatrix4x4 M)

static void

CommonOps_FDF4.fill(FMatrix4x4 a, float v)

Sets every element in the matrix to the specified value.

a_ij = value

static boolean

MatrixFeatures_FDF4.hasUncountable(FMatrix4x4 a)

static boolean

CommonOps_FDF4.invert(FMatrix4x4 a, FMatrix4x4 inv)

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

static boolean

MatrixFeatures_FDF4.isIdentical(FMatrix4x4 a, FMatrix4x4 b, float tol)

static void

CommonOps_FDF4.mult(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF4.mult(FMatrix4 a, FMatrix4x4 b, FMatrix4 c)

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

static void

CommonOps_FDF4.mult(FMatrix4x4 a, FMatrix4 b, FMatrix4 c)

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

static void

CommonOps_FDF4.mult(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF4.multAdd(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF4.multAdd(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

static void

CommonOps_FDF4.multAddOuter(float alpha, FMatrix4x4 A, float beta, FMatrix4 u, FMatrix4 v, FMatrix4x4 C)

C = αA + βu*v^T

static void

CommonOps_FDF4.multAddTransA(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF4.multAddTransA(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF4.multAddTransAB(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multAddTransAB(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multAddTransB(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multAddTransB(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multTransA(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF4.multTransA(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

static void

CommonOps_FDF4.multTransAB(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multTransAB(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multTransB(float alpha, FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

CommonOps_FDF4.multTransB(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

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

static void

NormOps_FDF4.normalizeF(FMatrix4x4 M)

static float

NormOps_FDF4.normF(FMatrix4x4 M)

static void

CommonOps_FDF4.scale(float alpha, FMatrix4x4 a)

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

static void

CommonOps_FDF4.scale(float alpha, FMatrix4x4 a, FMatrix4x4 b)

Performs an element by element scalar multiplication.

b_ij = α*a_ij

static void

CommonOps_FDF4.setIdentity(FMatrix4x4 a)

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

static void

CommonOps_FDF4.subtract(FMatrix4x4 a, FMatrix4x4 b, FMatrix4x4 c)

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

static void

CommonOps_FDF4.subtractEquals(FMatrix4x4 a, FMatrix4x4 b)

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

static float

CommonOps_FDF4.trace(FMatrix4x4 a)

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

static void

CommonOps_FDF4.transpose(FMatrix4x4 m)

Performs an in-place transpose.

static FMatrix4x4

CommonOps_FDF4.transpose(FMatrix4x4 input, FMatrix4x4 output)

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

b_ij = a_ji
where 'b' is the transpose of 'a'.
Uses of FMatrix4x4 in org.ejml.ops

Methods in org.ejml.ops that return FMatrix4x4

Modifier and Type

Method

Description

static FMatrix4x4

FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix4x4 output)

Converts FMatrixRMaj into FMatrix4x4

Methods in org.ejml.ops with parameters of type FMatrix4x4

Modifier and Type

Method

Description

static void

ConvertMatrixData.convert(DMatrix4x4 src, FMatrix4x4 dst)

static void

ConvertMatrixData.convert(FMatrix4x4 src, DMatrix4x4 dst)

static FMatrixRMaj

FConvertMatrixStruct.convert(FMatrix4x4 input, @Nullable FMatrixRMaj output)

Converts FMatrix4x4 into FMatrixRMaj.

static FMatrix4x4

FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix4x4 output)

Converts FMatrixRMaj into FMatrix4x4

Uses of Classorg.ejml.data.FMatrix4x4

Uses of FMatrix4x4 in org.ejml.data

Uses of FMatrix4x4 in org.ejml.dense.fixed

Uses of FMatrix4x4 in org.ejml.ops

Uses of Class
org.ejml.data.FMatrix4x4