Uses of Class
org.ejml.data.CMatrixRMaj

Packages that use CMatrixRMaj

Package	Description
org.ejml
org.ejml.data
org.ejml.dense.row
org.ejml.dense.row.decompose
org.ejml.dense.row.decompose.chol
org.ejml.dense.row.decompose.hessenberg
org.ejml.dense.row.decompose.lu
org.ejml.dense.row.decompose.qr
org.ejml.dense.row.factory
org.ejml.dense.row.linsol
org.ejml.dense.row.linsol.chol
org.ejml.dense.row.linsol.lu
org.ejml.dense.row.linsol.qr
org.ejml.dense.row.misc
org.ejml.dense.row.mult
org.ejml.ops
org.ejml.simple
org.ejml.simple.ops

Uses of CMatrixRMaj in org.ejml

Methods in org.ejml that return CMatrixRMaj

Modifier and Type	Method	Description
static CMatrixRMaj	UtilEjml.reshapeOrDeclare(@Nullable CMatrixRMaj a, int rows, int cols)	If the input matrix is null a new matrix is created and returned.

Methods in org.ejml with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
static CMatrixRMaj	UtilEjml.reshapeOrDeclare(@Nullable CMatrixRMaj a, int rows, int cols)	If the input matrix is null a new matrix is created and returned.

Uses of CMatrixRMaj in org.ejml.data

Methods in org.ejml.data that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	CMatrixRMaj.copy()
CMatrixRMaj	CMatrixRMaj.create(int numRows, int numCols)
CMatrixRMaj	CMatrixRMaj.createLike()

Methods in org.ejml.data with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
void	CMatrixRMaj.setTo(CMatrixRMaj original)

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

Modifier	Constructor	Description
	CMatrixRMaj(CMatrixRMaj original)	Creates a new CMatrixRMaj which is a copy of the passed in matrix.

Uses of CMatrixRMaj in org.ejml.dense.row

Methods in org.ejml.dense.row that return CMatrixRMaj

Modifier and Type	Method	Description
static CMatrixRMaj[]	CommonOps_CDRM.columnsToVector(CMatrixRMaj A, @Nullable CMatrixRMaj[] v)	Converts the columns in a matrix into a set of vectors.
static CMatrixRMaj	SpecializedOps_CDRM.createReflector(CMatrixRMaj u)	Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static CMatrixRMaj	SpecializedOps_CDRM.createReflector(CMatrixRMaj u, float gamma)	Creates a reflector from the provided vector and gamma. Q = I - γ u uH
static CMatrixRMaj	CommonOps_CDRM.diag(float... data)	Creates a new square matrix whose diagonal elements are specified by data and all the other elements are zero. aij = 0 if i ≤ j aij = diag[i] if i = j
static CMatrixRMaj	CommonOps_CDRM.diag(@Nullable CMatrixRMaj output, int N, float... data)
static CMatrixRMaj	CommonOps_CDRM.elementDivide(float real, float imaginary, CMatrixD1 input, @Nullable CMatrixRMaj output)	Performs element by element division operation with a complex number on the right outputij = (real + imaginary*i) / inputij
static CMatrixRMaj	CommonOps_CDRM.elementDivide(CMatrixD1 input, float real, float imaginary, @Nullable CMatrixRMaj output)	Performs element by element division operation with a complex number on the right outputij = inputij / (real + imaginary*i)
static CMatrixRMaj	CommonOps_CDRM.elementDivide(CMatrixD1 inputA, CMatrixD1 inputB, @Nullable CMatrixRMaj output)	Performs complex division between two matrices with the same shape element by element. outputij = inputAij / inputBij
static CMatrixRMaj	CommonOps_CDRM.elementMultiply(CMatrixD1 input, float real, float imaginary, @Nullable CMatrixRMaj output)	Performs element by element multiplication operation with a complex number outputij = inputij * (real + imaginary*i)
static CMatrixRMaj	CommonOps_CDRM.elementMultiply(CMatrixD1 inputA, CMatrixD1 inputB, @Nullable CMatrixRMaj output)	Performs complex multiplication between two matrices with the same shape element by element. outputij = inputAij * inputBij
static CMatrixRMaj	CommonOps_CDRM.elementPower(CMatrixD1 input, float b, @Nullable CMatrixRMaj output)	Element by element complex power outputij = inputAij / inputBij
static CMatrixRMaj	CommonOps_CDRM.extract(CMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)	Creates a new matrix which is the specified submatrix of 'src'
static CMatrixRMaj	RandomMatrices_CDRM.hermitian(int length, float min, float max, Random rand)	Creates a random Hermitian matrix with elements from min to max value.
static CMatrixRMaj	RandomMatrices_CDRM.hermitianPosDef(int width, Random rand)	Creates a random symmetric positive definite matrix.
static CMatrixRMaj	SpecializedOps_CDRM.householder(CMatrixRMaj u, float gamma)	Q = I - gamma*u*uH
static CMatrixRMaj	SpecializedOps_CDRM.householderVector(CMatrixRMaj x)	Computes the householder vector used in QR decomposition.
static CMatrixRMaj	CommonOps_CDRM.identity(int width)	Creates an identity matrix of the specified size. aij = 0+0i if i ≠ j aij = 1+0i if i = j
static CMatrixRMaj	CommonOps_CDRM.identity(int width, int height)	Creates a matrix with diagonal elements set to 1 and the rest 0. aij = 0+0i if i ≠ j aij = 1+0i if i = j
static CMatrixRMaj	SpecializedOps_CDRM.pivotMatrix(@Nullable CMatrixRMaj ret, int[] pivots, int numPivots, boolean transposed)	Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static CMatrixRMaj	RandomMatrices_CDRM.rectangle(int numRow, int numCol, float min, float max, Random rand)	Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.
static CMatrixRMaj	RandomMatrices_CDRM.rectangle(int numRow, int numCol, Random rand)	Returns a matrix where all the elements are selected independently from a uniform distribution between -1 and 1 inclusive.
static CMatrixRMaj	CommonOps_CDRM.transpose(CMatrixRMaj input, @Nullable CMatrixRMaj output)	Transposes input matrix 'a' and stores the results in output matrix 'b': bij = aji where 'b' is the transpose of 'a'.
static CMatrixRMaj	CommonOps_CDRM.transposeConjugate(CMatrixRMaj input, @Nullable CMatrixRMaj output)	Conjugate transposes input matrix 'a' and stores the results in output matrix 'b': b-reali,j = a-realj,i b-imaginaryi,j = -1*a-imaginaryj,i where 'b' is the transpose of 'a'.

Methods in org.ejml.dense.row with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
static CMatrixRMaj[]	CommonOps_CDRM.columnsToVector(CMatrixRMaj A, @Nullable CMatrixRMaj[] v)	Converts the columns in a matrix into a set of vectors.
static CMatrixD1	CommonOps_CDRM.conjugate(CMatrixD1 input, @Nullable CMatrixRMaj output)	Computes the complex conjugate of the input matrix. reali,j = reali,j imaginaryi,j = -1*imaginaryi,j
static CMatrixRMaj	SpecializedOps_CDRM.createReflector(CMatrixRMaj u)	Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static CMatrixRMaj	SpecializedOps_CDRM.createReflector(CMatrixRMaj u, float gamma)	Creates a reflector from the provided vector and gamma. Q = I - γ u uH
static Complex_F32	CommonOps_CDRM.det(CMatrixRMaj mat)	Returns the determinant of the matrix.
static CMatrixRMaj	CommonOps_CDRM.diag(@Nullable CMatrixRMaj output, int N, float... data)
static float	SpecializedOps_CDRM.elementDiagMaxMagnitude2(CMatrixRMaj a)	Returns the magnitude squared of the complex element along the diagonal with the largest magnitude Max{ |aij|^2 } for all i and j
static CMatrixRMaj	CommonOps_CDRM.elementDivide(float real, float imaginary, CMatrixD1 input, @Nullable CMatrixRMaj output)	Performs element by element division operation with a complex number on the right outputij = (real + imaginary*i) / inputij
static CMatrixRMaj	CommonOps_CDRM.elementDivide(CMatrixD1 input, float real, float imaginary, @Nullable CMatrixRMaj output)	Performs element by element division operation with a complex number on the right outputij = inputij / (real + imaginary*i)
static CMatrixRMaj	CommonOps_CDRM.elementDivide(CMatrixD1 inputA, CMatrixD1 inputB, @Nullable CMatrixRMaj output)	Performs complex division between two matrices with the same shape element by element. outputij = inputAij / inputBij
static float	CommonOps_CDRM.elementMaxAbs(CMatrixRMaj a)	Returns the largest absolute value of any element in the matrix. Max{ |aij| } for all i and j
static float	CommonOps_CDRM.elementMinAbs(CMatrixRMaj a)	Returns the smallest absolute value of any element in the matrix. Min{ |aij| } for all i and j
static CMatrixRMaj	CommonOps_CDRM.elementMultiply(CMatrixD1 input, float real, float imaginary, @Nullable CMatrixRMaj output)	Performs element by element multiplication operation with a complex number outputij = inputij * (real + imaginary*i)
static CMatrixRMaj	CommonOps_CDRM.elementMultiply(CMatrixD1 inputA, CMatrixD1 inputB, @Nullable CMatrixRMaj output)	Performs complex multiplication between two matrices with the same shape element by element. outputij = inputAij * inputBij
static CMatrixRMaj	CommonOps_CDRM.elementPower(CMatrixD1 input, float b, @Nullable CMatrixRMaj output)	Element by element complex power outputij = inputAij / inputBij
static CMatrixRMaj	CommonOps_CDRM.extract(CMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)	Creates a new matrix which is the specified submatrix of 'src'
static void	CommonOps_CDRM.extract(CMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1, CMatrixRMaj dst, int dstY0, int dstX0)	Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.
static void	CommonOps_CDRM.extractDiag(CMatrixRMaj src, CMatrixRMaj dst)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static void	RandomMatrices_CDRM.fillHermitian(CMatrixRMaj A, float min, float max, Random rand)	Assigns the provided square matrix to be a random Hermitian matrix with elements from min to max value.
static void	RandomMatrices_CDRM.fillUniform(CMatrixRMaj mat, Random rand)	Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.
static CMatrixRMaj	SpecializedOps_CDRM.householder(CMatrixRMaj u, float gamma)	Q = I - gamma*u*uH
static CMatrixRMaj	SpecializedOps_CDRM.householderVector(CMatrixRMaj x)	Computes the householder vector used in QR decomposition.
static boolean	CommonOps_CDRM.invert(CMatrixRMaj A)	Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix. a = a-1
static boolean	CommonOps_CDRM.invert(CMatrixRMaj input, CMatrixRMaj output)	Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
static boolean	MatrixFeatures_CDRM.isHermitian(CMatrixRMaj Q, float tol)	Hermitian matrix is a square matrix with complex entries that are equal to its own conjugate transpose.
static boolean	MatrixFeatures_CDRM.isLowerTriangle(CMatrixRMaj A, int hessenberg, float tol)	Checks to see if a matrix is lower triangular or Hessenberg.
static boolean	MatrixFeatures_CDRM.isPositiveDefinite(CMatrixRMaj A)	Checks to see if the matrix is positive definite.
static boolean	MatrixFeatures_CDRM.isUnitary(CMatrixRMaj Q, float tol)	Unitary matrices have the following properties: Q*QH = I
static boolean	MatrixFeatures_CDRM.isUpperTriangle(CMatrixRMaj A, int hessenberg, float tol)	Checks to see if a matrix is upper triangular or Hessenberg.
static void	CommonOps_CDRM.mult(float realAlpha, float imgAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * a * b cij = α ∑k=1:n { * aik * bkj}
static void	CommonOps_CDRM.mult(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = a * b cij = ∑k=1:n { * aik * bkj}
static void	CommonOps_MT_CDRM.mult(float realAlpha, float imgAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * a * b cij = α ∑k=1:n { * aik * bkj}
static void	CommonOps_MT_CDRM.mult(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = a * b cij = ∑k=1:n { * aik * bkj}
static void	CommonOps_CDRM.multAdd(float realAlpha, float imgAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * a * b cij = cij + α * ∑k=1:n { aik * bkj}
static void	CommonOps_CDRM.multAdd(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + a * b cij = cij + ∑k=1:n { aik * bkj}
static void	CommonOps_MT_CDRM.multAdd(float realAlpha, float imgAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * a * b cij = cij + α * ∑k=1:n { aik * bkj}
static void	CommonOps_MT_CDRM.multAdd(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + a * b cij = cij + ∑k=1:n { aik * bkj}
static void	CommonOps_CDRM.multAddTransA(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * aH * b cij =cij + α * ∑k=1:n { aki * bkj}
static void	CommonOps_CDRM.multAddTransA(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + aH * b cij = cij + ∑k=1:n { aki * bkj}
static void	CommonOps_MT_CDRM.multAddTransA(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * aH * b cij =cij + α * ∑k=1:n { aki * bkj}
static void	CommonOps_MT_CDRM.multAddTransA(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + aH * b cij = cij + ∑k=1:n { aki * bkj}
static void	CommonOps_CDRM.multAddTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * aH * bH cij = cij + α * ∑k=1:n { aki * bjk}
static void	CommonOps_CDRM.multAddTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + aH * bH cij = cij + ∑k=1:n { aki * bjk}
static void	CommonOps_MT_CDRM.multAddTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * aH * bH cij = cij + α * ∑k=1:n { aki * bjk}
static void	CommonOps_MT_CDRM.multAddTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + aH * bH cij = cij + ∑k=1:n { aki * bjk}
static void	CommonOps_CDRM.multAddTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * a * bH cij = cij + α * ∑k=1:n { aik * bjk}
static void	CommonOps_CDRM.multAddTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + a * bH cij = cij + ∑k=1:n { aik * bjk}
static void	CommonOps_MT_CDRM.multAddTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + α * a * bH cij = cij + α * ∑k=1:n { aik * bjk}
static void	CommonOps_MT_CDRM.multAddTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = c + a * bH cij = cij + ∑k=1:n { aik * bjk}
static void	CommonOps_CDRM.multTransA(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * aH * b cij = α ∑k=1:n { aki * bkj}
static void	CommonOps_CDRM.multTransA(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = aH * b cij = ∑k=1:n { aki * bkj}
static void	CommonOps_MT_CDRM.multTransA(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * aH * b cij = α ∑k=1:n { aki * bkj}
static void	CommonOps_MT_CDRM.multTransA(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = aH * b cij = ∑k=1:n { aki * bkj}
static void	CommonOps_CDRM.multTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * aH * bH cij = α ∑k=1:n { aki * bjk}
static void	CommonOps_CDRM.multTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = aT * bT cij = ∑k=1:n { aki * bjk}
static void	CommonOps_MT_CDRM.multTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * aH * bH cij = α ∑k=1:n { aki * bjk}
static void	CommonOps_MT_CDRM.multTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = aT * bT cij = ∑k=1:n { aki * bjk}
static void	CommonOps_CDRM.multTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * a * bH cij = α ∑k=1:n { aik * bjk}
static void	CommonOps_CDRM.multTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = a * bH cij = ∑k=1:n { aik * bjk}
static void	CommonOps_MT_CDRM.multTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = α * a * bH cij = α ∑k=1:n { aik * bjk}
static void	CommonOps_MT_CDRM.multTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)	Performs the following operation: c = a * bH cij = ∑k=1:n { aik * bjk}
static float	NormOps_CDRM.normF(CMatrixRMaj a)	Computes the Frobenius matrix norm: normF = Sqrt{ ∑i=1:m ∑j=1:n { aij2} }
static CMatrixRMaj	SpecializedOps_CDRM.pivotMatrix(@Nullable CMatrixRMaj ret, int[] pivots, int numPivots, boolean transposed)	Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static float	SpecializedOps_CDRM.qualityTriangular(CMatrixRMaj T)	Computes the quality of a triangular matrix, where the quality of a matrix is defined in LinearSolver.quality().
static void	CommonOps_CDRM.setIdentity(CMatrixRMaj mat)	Sets all the diagonal elements equal to one and everything else equal to zero.
static boolean	CommonOps_CDRM.solve(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj x)	Solves for x in the following equation: A*x = b
static Complex_F32	CommonOps_CDRM.trace(CMatrixRMaj input, @Nullable Complex_F32 output)	Computes the matrix trace: trace = ∑i=1:n { aii } where n = min(numRows,numCols)
static void	CommonOps_CDRM.transpose(CMatrixRMaj mat)	Performs an "in-place" transpose.
static CMatrixRMaj	CommonOps_CDRM.transpose(CMatrixRMaj input, @Nullable CMatrixRMaj output)	Transposes input matrix 'a' and stores the results in output matrix 'b': bij = aji where 'b' is the transpose of 'a'.
static void	CommonOps_CDRM.transposeConjugate(CMatrixRMaj mat)	Performs an "in-place" conjugate transpose.
static CMatrixRMaj	CommonOps_CDRM.transposeConjugate(CMatrixRMaj input, @Nullable CMatrixRMaj output)	Conjugate transposes input matrix 'a' and stores the results in output matrix 'b': b-reali,j = a-realj,i b-imaginaryi,j = -1*a-imaginaryj,i where 'b' is the transpose of 'a'.

Uses of CMatrixRMaj in org.ejml.dense.row.decompose

Methods in org.ejml.dense.row.decompose that return CMatrixRMaj

Modifier and Type	Method	Description
static CMatrixRMaj	UtilDecompositons_CDRM.checkIdentity(@Nullable CMatrixRMaj A, int numRows, int numCols)
static CMatrixRMaj	UtilDecompositons_CDRM.checkZeros(@Nullable CMatrixRMaj A, int numRows, int numCols)
static CMatrixRMaj	UtilDecompositons_CDRM.checkZerosLT(@Nullable CMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.
static CMatrixRMaj	UtilDecompositons_CDRM.checkZerosUT(@Nullable CMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.

Methods in org.ejml.dense.row.decompose with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
static CMatrixRMaj	UtilDecompositons_CDRM.checkIdentity(@Nullable CMatrixRMaj A, int numRows, int numCols)
static CMatrixRMaj	UtilDecompositons_CDRM.checkZeros(@Nullable CMatrixRMaj A, int numRows, int numCols)
static CMatrixRMaj	UtilDecompositons_CDRM.checkZerosLT(@Nullable CMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.
static CMatrixRMaj	UtilDecompositons_CDRM.checkZerosUT(@Nullable CMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.

Uses of CMatrixRMaj in org.ejml.dense.row.decompose.chol

Fields in org.ejml.dense.row.decompose.chol declared as CMatrixRMaj

Modifier and Type	Field	Description
protected CMatrixRMaj	CholeskyDecompositionCommon_CDRM.T

Methods in org.ejml.dense.row.decompose.chol that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	CholeskyDecompositionCommon_CDRM._getT()	Returns the raw decomposed matrix.
CMatrixRMaj	CholeskyDecompositionCommon_CDRM.getT(@Nullable CMatrixRMaj T)

Methods in org.ejml.dense.row.decompose.chol with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
boolean	CholeskyDecompositionCommon_CDRM.decompose(CMatrixRMaj mat)	Computes the decomposition of the input matrix.
CMatrixRMaj	CholeskyDecompositionCommon_CDRM.getT(@Nullable CMatrixRMaj T)

Uses of CMatrixRMaj in org.ejml.dense.row.decompose.hessenberg

Methods in org.ejml.dense.row.decompose.hessenberg that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	HessenbergSimilarDecomposition_CDRM.getH(@Nullable CMatrixRMaj H)	An upper Hessenberg matrix from the decomposition.
CMatrixRMaj	HessenbergSimilarDecomposition_CDRM.getQ(@Nullable CMatrixRMaj Q)	An orthogonal matrix that has the following property: H = QTAQ
CMatrixRMaj	TridiagonalDecompositionHouseholder_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean transposed)	An orthogonal matrix that has the following property: T = QHAQ
CMatrixRMaj	HessenbergSimilarDecomposition_CDRM.getQH()	The raw QH matrix that is stored internally.
CMatrixRMaj	TridiagonalDecompositionHouseholder_CDRM.getQT()	Returns the internal matrix where the decomposed results are stored.
CMatrixRMaj	TridiagonalDecompositionHouseholder_CDRM.getT(@Nullable CMatrixRMaj T)	Extracts the tridiagonal matrix found in the decomposition.

Methods in org.ejml.dense.row.decompose.hessenberg with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
boolean	HessenbergSimilarDecomposition_CDRM.decompose(CMatrixRMaj A)	Computes the decomposition of the provided matrix.
boolean	TridiagonalDecompositionHouseholder_CDRM.decompose(CMatrixRMaj A)	Decomposes the provided symmetric matrix.
CMatrixRMaj	HessenbergSimilarDecomposition_CDRM.getH(@Nullable CMatrixRMaj H)	An upper Hessenberg matrix from the decomposition.
CMatrixRMaj	HessenbergSimilarDecomposition_CDRM.getQ(@Nullable CMatrixRMaj Q)	An orthogonal matrix that has the following property: H = QTAQ
CMatrixRMaj	TridiagonalDecompositionHouseholder_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean transposed)	An orthogonal matrix that has the following property: T = QHAQ
CMatrixRMaj	TridiagonalDecompositionHouseholder_CDRM.getT(@Nullable CMatrixRMaj T)	Extracts the tridiagonal matrix found in the decomposition.
void	TridiagonalDecompositionHouseholder_CDRM.init(CMatrixRMaj A)	If needed declares and sets up internal data structures.

Uses of CMatrixRMaj in org.ejml.dense.row.decompose.lu

Fields in org.ejml.dense.row.decompose.lu declared as CMatrixRMaj

Modifier and Type	Field	Description
protected CMatrixRMaj	LUDecompositionBase_CDRM.LU

Methods in org.ejml.dense.row.decompose.lu that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	LUDecompositionBase_CDRM.getLower(@Nullable CMatrixRMaj lower)	Writes the lower triangular matrix into the specified matrix.
CMatrixRMaj	LUDecompositionBase_CDRM.getLU()
CMatrixRMaj	LUDecompositionBase_CDRM.getRowPivot(@Nullable CMatrixRMaj pivot)
CMatrixRMaj	LUDecompositionBase_CDRM.getUpper(@Nullable CMatrixRMaj upper)	Writes the upper triangular matrix into the specified matrix.

Methods in org.ejml.dense.row.decompose.lu with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
boolean	LUDecompositionAlt_CDRM.decompose(CMatrixRMaj a)	This is a modified version of what was found in the JAMA package.
protected void	LUDecompositionBase_CDRM.decomposeCommonInit(CMatrixRMaj a)
CMatrixRMaj	LUDecompositionBase_CDRM.getLower(@Nullable CMatrixRMaj lower)	Writes the lower triangular matrix into the specified matrix.
CMatrixRMaj	LUDecompositionBase_CDRM.getRowPivot(@Nullable CMatrixRMaj pivot)
CMatrixRMaj	LUDecompositionBase_CDRM.getUpper(@Nullable CMatrixRMaj upper)	Writes the upper triangular matrix into the specified matrix.

Uses of CMatrixRMaj in org.ejml.dense.row.decompose.qr

Fields in org.ejml.dense.row.decompose.qr declared as CMatrixRMaj

Modifier and Type	Field	Description
protected CMatrixRMaj	QRDecompositionHouseholder_CDRM.QR	Where the Q and R matrices are stored.
protected CMatrixRMaj	QRDecompositionHouseholderTran_CDRM.QR	Where the Q and R matrices are stored.

Methods in org.ejml.dense.row.decompose.qr that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	QRDecompositionHouseholder_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
CMatrixRMaj	QRDecompositionHouseholderColumn_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
CMatrixRMaj	QRDecompositionHouseholderTran_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
CMatrixRMaj	QRDecompositionHouseholder_CDRM.getQR()	Returns a single matrix which contains the combined values of Q and R.
CMatrixRMaj	QRDecompositionHouseholderTran_CDRM.getQR()	Inner matrix that stores the decomposition
CMatrixRMaj	QRDecompositionHouseholder_CDRM.getR(@Nullable CMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
CMatrixRMaj	QRDecompositionHouseholderColumn_CDRM.getR(@Nullable CMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
CMatrixRMaj	QRDecompositionHouseholderTran_CDRM.getR(@Nullable CMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.

Methods in org.ejml.dense.row.decompose.qr with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
void	QRDecompositionHouseholderTran_CDRM.applyQ(CMatrixRMaj A)	A = Q*A
void	QRDecompositionHouseholderTran_CDRM.applyTranQ(CMatrixRMaj A)	A = QH*A
protected void	QRDecompositionHouseholder_CDRM.commonSetup(CMatrixRMaj A)	This function performs sanity check on the input for decompose and sets up the QR matrix.
static float	QrHelperFunctions_CDRM.computeRowMax(CMatrixRMaj A, int row, int col0, int col1)	Finds the magnitude of the largest element in the row
protected void	QRDecompositionHouseholderColumn_CDRM.convertToColumnMajor(CMatrixRMaj A)	Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.
boolean	QRDecompositionHouseholder_CDRM.decompose(CMatrixRMaj A)	In order to decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderColumn_CDRM.decompose(CMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderTran_CDRM.decompose(CMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
static float	QrHelperFunctions_CDRM.extractColumnAndMax(CMatrixRMaj A, int row0, int row1, int col, float[] u, int offsetU)	Extracts the column of A and copies it into u while computing the magnitude of the largest element and returning it.
static void	QrHelperFunctions_CDRM.extractHouseholderColumn(CMatrixRMaj A, int row0, int row1, int col, float[] u, int offsetU)	Extracts a house holder vector from the column of A and stores it in u
static void	QrHelperFunctions_CDRM.extractHouseholderRow(CMatrixRMaj A, int row, int col0, int col1, float[] u, int offsetU)	Extracts a house holder vector from the rows of A and stores it in u
CMatrixRMaj	QRDecompositionHouseholder_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
CMatrixRMaj	QRDecompositionHouseholderColumn_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
CMatrixRMaj	QRDecompositionHouseholderTran_CDRM.getQ(@Nullable CMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
CMatrixRMaj	QRDecompositionHouseholder_CDRM.getR(@Nullable CMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
CMatrixRMaj	QRDecompositionHouseholderColumn_CDRM.getR(@Nullable CMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
CMatrixRMaj	QRDecompositionHouseholderTran_CDRM.getR(@Nullable CMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
static void	QrHelperFunctions_CDRM.rank1UpdateMultL(CMatrixRMaj A, float[] u, int offsetU, float gammaR, int colA0, int w0, int w1)	Performs a rank-1 update operation on the submatrix specified by w with the multiply on the left. A = A(I - γ*u*uH)
static void	QrHelperFunctions_CDRM.rank1UpdateMultR(CMatrixRMaj A, float[] u, int offsetU, float gamma, int colA0, int w0, int w1, float[] _temp)	Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right. A = (I - γ*u*uH)*A

Uses of CMatrixRMaj in org.ejml.dense.row.factory

Methods in org.ejml.dense.row.factory that return types with arguments of type CMatrixRMaj

Modifier and Type	Method	Description
static CholeskyDecomposition_F32<CMatrixRMaj>	DecompositionFactory_CDRM.chol(int size, boolean lower)	Returns a CholeskyDecomposition_F32 that has been optimized for the specified matrix size.
static LinearSolverDense<CMatrixRMaj>	LinearSolverFactory_CDRM.chol(int matrixSize)	Creates a linear solver which uses Cholesky decomposition internally
static LUDecomposition_F32<CMatrixRMaj>	DecompositionFactory_CDRM.lu(int numRows, int numCols)	Returns a LUDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<CMatrixRMaj>	LinearSolverFactory_CDRM.lu(int matrixSize)	Creates a linear solver which uses LU decomposition internally
static QRDecomposition<CMatrixRMaj>	DecompositionFactory_CDRM.qr(int numRows, int numCols)	Returns a QRDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<CMatrixRMaj>	LinearSolverFactory_CDRM.qr(int numRows, int numCols)	Creates a linear solver which uses QR decomposition internally

Methods in org.ejml.dense.row.factory with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
static boolean	DecompositionFactory_CDRM.decomposeSafe(DecompositionInterface<CMatrixRMaj> decomposition, CMatrixRMaj a)	Decomposes the input matrix 'a' and makes sure it isn't modified.

Method parameters in org.ejml.dense.row.factory with type arguments of type CMatrixRMaj

Modifier and Type	Method	Description
static boolean	DecompositionFactory_CDRM.decomposeSafe(DecompositionInterface<CMatrixRMaj> decomposition, CMatrixRMaj a)	Decomposes the input matrix 'a' and makes sure it isn't modified.

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

Fields in org.ejml.dense.row.linsol declared as CMatrixRMaj

Modifier and Type	Field	Description
protected CMatrixRMaj	LinearSolverAbstract_CDRM.A

Methods in org.ejml.dense.row.linsol that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	LinearSolverAbstract_CDRM.getA()

Methods in org.ejml.dense.row.linsol with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
protected void	LinearSolverAbstract_CDRM._setA(CMatrixRMaj A)
static void	InvertUsingSolve_CDRM.invert(LinearSolverDense<CMatrixRMaj> solver, CMatrixRMaj A, CMatrixRMaj A_inv)
static void	InvertUsingSolve_CDRM.invert(LinearSolverDense<CMatrixRMaj> solver, CMatrixRMaj A, CMatrixRMaj A_inv, CMatrixRMaj storage)
void	LinearSolverAbstract_CDRM.invert(CMatrixRMaj A_inv)

Method parameters in org.ejml.dense.row.linsol with type arguments of type CMatrixRMaj

Modifier and Type	Method	Description
static void	InvertUsingSolve_CDRM.invert(LinearSolverDense<CMatrixRMaj> solver, CMatrixRMaj A, CMatrixRMaj A_inv)
static void	InvertUsingSolve_CDRM.invert(LinearSolverDense<CMatrixRMaj> solver, CMatrixRMaj A, CMatrixRMaj A_inv, CMatrixRMaj storage)

Uses of CMatrixRMaj in org.ejml.dense.row.linsol.chol

Methods in org.ejml.dense.row.linsol.chol that return types with arguments of type CMatrixRMaj

Modifier and Type	Method	Description
CholeskyDecomposition_F32<CMatrixRMaj>	LinearSolverChol_CDRM.getDecomposition()

Methods in org.ejml.dense.row.linsol.chol with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
void	LinearSolverChol_CDRM.invert(CMatrixRMaj inv)	Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
boolean	LinearSolverChol_CDRM.setA(CMatrixRMaj A)
void	LinearSolverChol_CDRM.solve(CMatrixRMaj B, CMatrixRMaj X)	Using the decomposition, finds the value of 'X' in the linear equation below: A*x = b where A has dimension of n by n, x and b are n by m dimension.

Uses of CMatrixRMaj in org.ejml.dense.row.linsol.lu

Methods in org.ejml.dense.row.linsol.lu with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
void	LinearSolverLuBase_CDRM.invert(CMatrixRMaj A_inv)
boolean	LinearSolverLuBase_CDRM.setA(CMatrixRMaj A)
void	LinearSolverLu_CDRM.solve(CMatrixRMaj B, CMatrixRMaj X)

Uses of CMatrixRMaj in org.ejml.dense.row.linsol.qr

Fields in org.ejml.dense.row.linsol.qr declared as CMatrixRMaj

Modifier and Type	Field	Description
protected CMatrixRMaj	LinearSolverQr_CDRM.Q
protected CMatrixRMaj	LinearSolverQr_CDRM.Qt
protected CMatrixRMaj	LinearSolverQr_CDRM.R

Methods in org.ejml.dense.row.linsol.qr that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	LinearSolverQr_CDRM.getQ()
CMatrixRMaj	LinearSolverQr_CDRM.getR()

Methods in org.ejml.dense.row.linsol.qr that return types with arguments of type CMatrixRMaj

Modifier and Type	Method	Description
QRDecomposition<CMatrixRMaj>	LinearSolverQr_CDRM.getDecomposer()
QRDecomposition<CMatrixRMaj>	LinearSolverQr_CDRM.getDecomposition()
QRDecomposition<CMatrixRMaj>	LinearSolverQrHouse_CDRM.getDecomposition()
QRDecomposition<CMatrixRMaj>	LinearSolverQrHouseTran_CDRM.getDecomposition()

Methods in org.ejml.dense.row.linsol.qr with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
boolean	LinearSolverQr_CDRM.setA(CMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouse_CDRM.setA(CMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouseCol_CDRM.setA(CMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouseTran_CDRM.setA(CMatrixRMaj A)	Performs QR decomposition on A
void	LinearSolverQr_CDRM.solve(CMatrixRMaj B, CMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouse_CDRM.solve(CMatrixRMaj B, CMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseCol_CDRM.solve(CMatrixRMaj B, CMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseTran_CDRM.solve(CMatrixRMaj B, CMatrixRMaj X)	Solves for X using the QR decomposition.

Constructor parameters in org.ejml.dense.row.linsol.qr with type arguments of type CMatrixRMaj

Modifier	Constructor	Description
	LinearSolverQr_CDRM(QRDecomposition<CMatrixRMaj> decomposer)	Creates a linear solver that uses QR decomposition.

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

Methods in org.ejml.dense.row.misc with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
static void	TransposeAlgs_CDRM.square(CMatrixRMaj mat)	In-place transpose for a square matrix.
static void	TransposeAlgs_CDRM.squareConjugate(CMatrixRMaj mat)
static void	TransposeAlgs_CDRM.standard(CMatrixRMaj A, CMatrixRMaj A_tran)	A straight forward transpose.
static void	TransposeAlgs_CDRM.standardConjugate(CMatrixRMaj A, CMatrixRMaj A_tran)	A straight forward conjugate transpose.

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

Methods in org.ejml.dense.row.mult with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
static Complex_F32	VectorVectorMult_CDRM.innerProd(CMatrixRMaj x, CMatrixRMaj y, @Nullable Complex_F32 output)	Computes the inner product of the two vectors.
static Complex_F32	VectorVectorMult_CDRM.innerProdH(CMatrixRMaj x, CMatrixRMaj y, @Nullable Complex_F32 output)	Computes the inner product between a vector and the conjugate of another one.
static void	MatrixMatrixMult_CDRM.mult_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.mult_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.mult_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.mult_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.mult_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.mult_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.mult_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.mult_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAdd_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAdd_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAdd_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAdd_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAdd_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAdd_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAdd_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAdd_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransA_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransA_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransA_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransA_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransA_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransA_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransA_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransA_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransAB_aux(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_CDRM.multAddTransAB_aux(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_CDRM.multAddTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multAddTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multAddTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransA_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransA_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransA_reorder(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransA_reorder(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransA_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransA_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransA_small(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransA_small(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransAB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransAB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransAB_aux(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_CDRM.multTransAB_aux(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c, @org.jetbrains.annotations.Nullable float[] aux)
static void	MatrixMatrixMult_CDRM.multTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_CDRM.multTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransB(float realAlpha, float imagAlpha, CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	MatrixMatrixMult_MT_CDRM.multTransB(CMatrixRMaj a, CMatrixRMaj b, CMatrixRMaj c)
static void	VectorVectorMult_CDRM.outerProd(CMatrixRMaj x, CMatrixRMaj y, CMatrixRMaj A)	Sets A ∈ ℜ m × n equal to an outer product multiplication of the two vectors.
static void	VectorVectorMult_CDRM.outerProdH(CMatrixRMaj x, CMatrixRMaj y, CMatrixRMaj A)	Sets A ∈ ℜ m × n equal to an outer product multiplication of the two vectors.

Uses of CMatrixRMaj in org.ejml.ops

Methods in org.ejml.ops that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	ReadMatrixCsv.readCDRM(int numRows, int numCols)	Reads in a CMatrixRMaj from the IO stream where the user specifies the matrix dimensions.

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

Modifier and Type	Method	Description
static void	ConvertMatrixData.convert(DMatrixRMaj src, CMatrixRMaj dst)
static void	ConvertMatrixData.convert(FMatrixRMaj src, CMatrixRMaj dst)

Uses of CMatrixRMaj in org.ejml.simple

Methods in org.ejml.simple that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	SimpleBase.getCDRM()

Uses of CMatrixRMaj in org.ejml.simple.ops

Methods in org.ejml.simple.ops that return CMatrixRMaj

Modifier and Type	Method	Description
CMatrixRMaj	SimpleOperations_CDRM.diag(CMatrixRMaj A)

Methods in org.ejml.simple.ops with parameters of type CMatrixRMaj

Modifier and Type	Method	Description
void	SimpleOperations_CDRM.changeSign(CMatrixRMaj a)
double	SimpleOperations_CDRM.conditionP2(CMatrixRMaj A)
double	SimpleOperations_CDRM.determinant(CMatrixRMaj A)
static Complex_F64	WorkAroundForComplex.determinant(CMatrixRMaj A)
Complex_F64	SimpleOperations_CDRM.determinantComplex(CMatrixRMaj A)
CMatrixRMaj	SimpleOperations_CDRM.diag(CMatrixRMaj A)
void	SimpleOperations_CDRM.divide(CMatrixRMaj A, double val, CMatrixRMaj output)
double	SimpleOperations_CDRM.dot(CMatrixRMaj A, CMatrixRMaj v)
void	SimpleOperations_CDRM.elementDiv(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
void	SimpleOperations_CDRM.elementExp(CMatrixRMaj A, CMatrixRMaj output)
void	SimpleOperations_CDRM.elementLog(CMatrixRMaj A, CMatrixRMaj output)
double	SimpleOperations_CDRM.elementMax(CMatrixRMaj A)
double	SimpleOperations_CDRM.elementMaxAbs(CMatrixRMaj A)
double	SimpleOperations_CDRM.elementMin(CMatrixRMaj A)
double	SimpleOperations_CDRM.elementMinAbs(CMatrixRMaj A)
void	SimpleOperations_CDRM.elementMult(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
void	SimpleOperations_CDRM.elementOp(CMatrixRMaj A, SimpleOperations.ElementOpComplex op, CMatrixRMaj output)
void	SimpleOperations_CDRM.elementOp(CMatrixRMaj A, SimpleOperations.ElementOpReal op, CMatrixRMaj output)
void	SimpleOperations_CDRM.elementPower(CMatrixRMaj A, double b, CMatrixRMaj output)
void	SimpleOperations_CDRM.elementPower(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
double	SimpleOperations_CDRM.elementSum(CMatrixRMaj A)
static void	WorkAroundForComplex.elementSum_F32(CMatrixRMaj A, Complex_F64 output)
void	SimpleOperations_CDRM.elementSumComplex(CMatrixRMaj A, Complex_F64 output)
void	SimpleOperations_CDRM.extract(CMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1, CMatrixRMaj dst, int dstY0, int dstX0)
void	SimpleOperations_CDRM.fill(CMatrixRMaj A, double value)
double	SimpleOperations_CDRM.get(CMatrixRMaj A, int row, int column)
void	SimpleOperations_CDRM.get(CMatrixRMaj A, int row, int column, Complex_F64 value)
double[]	SimpleOperations_CDRM.getColumn(CMatrixRMaj A, int col, int idx0, int idx1)
double	SimpleOperations_CDRM.getImaginary(CMatrixRMaj A, int row, int column)
double	SimpleOperations_CDRM.getReal(CMatrixRMaj A, int row, int column)
double[]	SimpleOperations_CDRM.getRow(CMatrixRMaj A, int row, int idx0, int idx1)
boolean	SimpleOperations_CDRM.hasUncountable(CMatrixRMaj M)
boolean	SimpleOperations_CDRM.invert(CMatrixRMaj A, CMatrixRMaj output)
boolean	SimpleOperations_CDRM.isIdentical(CMatrixRMaj A, CMatrixRMaj B, double tol)
void	SimpleOperations_CDRM.kron(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
void	SimpleOperations_CDRM.minus(CMatrixRMaj A, double b, CMatrixRMaj output)
void	SimpleOperations_CDRM.minus(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
void	SimpleOperations_CDRM.minusComplex(CMatrixRMaj A, double real, double imag, CMatrixRMaj output)
void	SimpleOperations_CDRM.mult(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
void	SimpleOperations_CDRM.multTransA(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
double	SimpleOperations_CDRM.normF(CMatrixRMaj A)
void	SimpleOperations_CDRM.plus(double alpha, CMatrixRMaj A, double beta, CMatrixRMaj b, CMatrixRMaj output)
void	SimpleOperations_CDRM.plus(CMatrixRMaj A, double b, CMatrixRMaj output)
void	SimpleOperations_CDRM.plus(CMatrixRMaj A, double beta, CMatrixRMaj b, CMatrixRMaj output)
void	SimpleOperations_CDRM.plus(CMatrixRMaj A, CMatrixRMaj B, CMatrixRMaj output)
void	SimpleOperations_CDRM.plusComplex(CMatrixRMaj A, double real, double imag, CMatrixRMaj output)
void	SimpleOperations_CDRM.pseudoInverse(CMatrixRMaj A, CMatrixRMaj output)
void	SimpleOperations_CDRM.scale(CMatrixRMaj A, double val, CMatrixRMaj output)
void	SimpleOperations_CDRM.scaleComplex(CMatrixRMaj A, double real, double imag, CMatrixRMaj output)
void	SimpleOperations_CDRM.set(CMatrixRMaj A, int row, int column, double value)
void	SimpleOperations_CDRM.set(CMatrixRMaj A, int row, int column, double real, double imaginary)
void	SimpleOperations_CDRM.setColumn(CMatrixRMaj A, int column, int startRow, double... values)
void	SimpleOperations_CDRM.setIdentity(CMatrixRMaj A)
void	SimpleOperations_CDRM.setRow(CMatrixRMaj A, int row, int startColumn, double... values)
boolean	SimpleOperations_CDRM.solve(CMatrixRMaj A, CMatrixRMaj X, CMatrixRMaj B)
double	SimpleOperations_CDRM.trace(CMatrixRMaj A)
static Complex_F64	WorkAroundForComplex.trace(CMatrixRMaj A)
Complex_F64	SimpleOperations_CDRM.traceComplex(CMatrixRMaj A)
void	SimpleOperations_CDRM.transpose(CMatrixRMaj input, CMatrixRMaj output)
void	SimpleOperations_CDRM.zero(CMatrixRMaj A)