Uses of Class
org.ejml.data.FMatrix6x6
Packages that use FMatrix6x6
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Uses of FMatrix6x6 in org.ejml.data
Constructors in org.ejml.data with parameters of type FMatrix6x6 -
Uses of FMatrix6x6 in org.ejml.dense.fixed
Methods in org.ejml.dense.fixed that return FMatrix6x6Modifier and TypeMethodDescriptionstatic FMatrix6x6CommonOps_FDF6.transpose(FMatrix6x6 input, FMatrix6x6 output) Transposes matrix 'a' and stores the results in 'b':
bij = aji
where 'b' is the transpose of 'a'.Methods in org.ejml.dense.fixed with parameters of type FMatrix6x6Modifier and TypeMethodDescriptionstatic voidCommonOps_FDF6.add(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = a + b
cij = aij + bijstatic voidCommonOps_FDF6.addEquals(FMatrix6x6 a, FMatrix6x6 b) Performs the following operation:
a = a + b
aij = aij + bijstatic voidCommonOps_FDF6.changeSign(FMatrix6x6 a) Changes the sign of every element in the matrix.
aij = -aijstatic booleanCommonOps_FDF6.cholL(FMatrix6x6 A) Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.static booleanCommonOps_FDF6.cholU(FMatrix6x6 A) Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.static voidCommonOps_FDF6.diag(FMatrix6x6 input, FMatrix6 out) Extracts all diagonal elements from 'input' and places them inside the 'out' vector.static voidCommonOps_FDF6.divide(FMatrix6x6 a, float alpha) Performs an in-place element by element scalar division.static voidCommonOps_FDF6.divide(FMatrix6x6 a, float alpha, FMatrix6x6 b) Performs an element by element scalar division.static voidCommonOps_FDF6.elementDiv(FMatrix6x6 a, FMatrix6x6 b) Performs an element by element division operation:
aij = aij / bijstatic voidCommonOps_FDF6.elementDiv(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs an element by element division operation:
cij = aij / bijstatic floatCommonOps_FDF6.elementMax(FMatrix6x6 a) Returns the value of the element in the matrix that has the largest value.
Max{ aij } for all i and jstatic floatCommonOps_FDF6.elementMaxAbs(FMatrix6x6 a) Returns the absolute value of the element in the matrix that has the largest absolute value.
Max{ |aij| } for all i and jstatic floatCommonOps_FDF6.elementMin(FMatrix6x6 a) Returns the value of the element in the matrix that has the minimum value.
Min{ aij } for all i and jstatic floatCommonOps_FDF6.elementMinAbs(FMatrix6x6 a) Returns the absolute value of the element in the matrix that has the smallest absolute value.
Min{ |aij| } for all i and jstatic voidCommonOps_FDF6.elementMult(FMatrix6x6 a, FMatrix6x6 b) Performs an element by element multiplication operation:
aij = aij * bijstatic voidCommonOps_FDF6.elementMult(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs an element by element multiplication operation:
cij = aij * bijstatic FMatrix6CommonOps_FDF6.extractColumn(FMatrix6x6 a, int column, FMatrix6 out) Extracts the column from the matrix a.static FMatrix6CommonOps_FDF6.extractRow(FMatrix6x6 a, int row, FMatrix6 out) Extracts the row from the matrix a.static floatNormOps_FDF6.fastNormF(FMatrix6x6 M) static voidCommonOps_FDF6.fill(FMatrix6x6 a, float v) Sets every element in the matrix to the specified value.
aij = valuestatic booleanMatrixFeatures_FDF6.hasUncountable(FMatrix6x6 a) static booleanMatrixFeatures_FDF6.isIdentical(FMatrix6x6 a, FMatrix6x6 b, float tol) static voidCommonOps_FDF6.mult(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = α * a * b
cij = α ∑k=1:n { aik * bkj}static voidCommonOps_FDF6.mult(FMatrix6 a, FMatrix6x6 b, FMatrix6 c) Performs vector to matrix multiplication:
c = a * b
cj = ∑k=1:n { bk * akj }static voidCommonOps_FDF6.mult(FMatrix6x6 a, FMatrix6 b, FMatrix6 c) Performs matrix to vector multiplication:
c = a * b
ci = ∑k=1:n { aik * bk}static voidCommonOps_FDF6.mult(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = a * b
cij = ∑k=1:n { aik * bkj}static voidCommonOps_FDF6.multAdd(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += α * a * b
cij += α ∑k=1:n { aik * bkj}static voidCommonOps_FDF6.multAdd(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += a * b
cij += ∑k=1:n { aik * bkj}static voidCommonOps_FDF6.multAddOuter(float alpha, FMatrix6x6 A, float beta, FMatrix6 u, FMatrix6 v, FMatrix6x6 C) C = αA + βu*vTstatic voidCommonOps_FDF6.multAddTransA(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += α * aT * b
cij += α * ∑k=1:n { aki * bkj}static voidCommonOps_FDF6.multAddTransA(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += aT * b
cij += ∑k=1:n { aki * bkj}static voidCommonOps_FDF6.multAddTransAB(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += α*aT * bT
cij += α*∑k=1:n { aki * bjk}static voidCommonOps_FDF6.multAddTransAB(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += aT * bT
cij += ∑k=1:n { aki * bjk}static voidCommonOps_FDF6.multAddTransB(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += α * a * bT
cij += α*∑k=1:n { aik * bjk}static voidCommonOps_FDF6.multAddTransB(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c += a * bT
cij += ∑k=1:n { aik * bjk}static voidCommonOps_FDF6.multTransA(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = α * aT * b
cij = α * ∑k=1:n { aki * bkj}static voidCommonOps_FDF6.multTransA(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = aT * b
cij = ∑k=1:n { aki * bkj}static voidCommonOps_FDF6.multTransAB(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = α*aT * bT
cij = α*∑k=1:n { aki * bjk}static voidCommonOps_FDF6.multTransAB(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = aT * bT
cij = ∑k=1:n { aki * bjk}static voidCommonOps_FDF6.multTransB(float alpha, FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = α * a * bT
cij = α*∑k=1:n { aik * bjk}static voidCommonOps_FDF6.multTransB(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = a * bT
cij = ∑k=1:n { aik * bjk}static voidNormOps_FDF6.normalizeF(FMatrix6x6 M) static floatNormOps_FDF6.normF(FMatrix6x6 M) static voidCommonOps_FDF6.scale(float alpha, FMatrix6x6 a) Performs an in-place element by element scalar multiplication.
aij = α*aijstatic voidCommonOps_FDF6.scale(float alpha, FMatrix6x6 a, FMatrix6x6 b) Performs an element by element scalar multiplication.
bij = α*aijstatic voidCommonOps_FDF6.setIdentity(FMatrix6x6 a) Sets all the diagonal elements equal to one and everything else equal to zero.static voidCommonOps_FDF6.subtract(FMatrix6x6 a, FMatrix6x6 b, FMatrix6x6 c) Performs the following operation:
c = a - b
cij = aij - bijstatic voidCommonOps_FDF6.subtractEquals(FMatrix6x6 a, FMatrix6x6 b) Performs the following operation:
a = a - b
aij = aij - bijstatic floatCommonOps_FDF6.trace(FMatrix6x6 a) This computes the trace of the matrix:
trace = ∑i=1:n { aii }static voidCommonOps_FDF6.transpose(FMatrix6x6 m) Performs an in-place transpose.static FMatrix6x6CommonOps_FDF6.transpose(FMatrix6x6 input, FMatrix6x6 output) Transposes matrix 'a' and stores the results in 'b':
bij = aji
where 'b' is the transpose of 'a'. -
Uses of FMatrix6x6 in org.ejml.ops
Methods in org.ejml.ops that return FMatrix6x6Modifier and TypeMethodDescriptionstatic FMatrix6x6FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix6x6 output) ConvertsFMatrixRMajintoFMatrix6x6Methods in org.ejml.ops with parameters of type FMatrix6x6Modifier and TypeMethodDescriptionstatic FMatrixRMajFConvertMatrixStruct.convert(FMatrix6x6 input, @Nullable FMatrixRMaj output) ConvertsFMatrix6x6intoFMatrixRMaj.static FMatrix6x6FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix6x6 output) ConvertsFMatrixRMajintoFMatrix6x6