Uses of Class
org.ejml.data.DMatrixRMaj

Packages that use DMatrixRMaj

Package	Description
org.ejml
org.ejml.data
org.ejml.dense.block
org.ejml.dense.block.decomposition.hessenberg
org.ejml.dense.row
org.ejml.dense.row.decomposition
org.ejml.dense.row.decomposition.bidiagonal
org.ejml.dense.row.decomposition.chol
org.ejml.dense.row.decomposition.eig
org.ejml.dense.row.decomposition.eig.symm
org.ejml.dense.row.decomposition.eig.watched
org.ejml.dense.row.decomposition.hessenberg
org.ejml.dense.row.decomposition.lu
org.ejml.dense.row.decomposition.qr
org.ejml.dense.row.decomposition.svd
org.ejml.dense.row.decomposition.svd.implicitqr
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.linsol.svd
org.ejml.dense.row.misc
org.ejml.dense.row.mult
org.ejml.equation
org.ejml.ops
org.ejml.simple
org.ejml.simple.ops
org.ejml.sparse.csc
org.ejml.sparse.csc.factory
org.ejml.sparse.csc.linsol.chol
org.ejml.sparse.csc.linsol.lu
org.ejml.sparse.csc.linsol.qr
org.ejml.sparse.csc.mult

Uses of DMatrixRMaj in org.ejml

Methods in org.ejml that return DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	UtilEjml.parse_DDRM(String s, int numColumns)	Give a string of numbers it returns a DenseMatrix
static DMatrixRMaj	UtilEjml.reshapeOrDeclare(@Nullable DMatrixRMaj 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 DMatrixRMaj

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

Uses of DMatrixRMaj in org.ejml.data

Fields in org.ejml.data declared as DMatrixRMaj

Modifier and Type	Field	Description
DMatrixRMaj	DEigenpair.vector

Methods in org.ejml.data that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	DMatrixRMaj.copy()	Creates and returns a matrix which is identical to this one.
DMatrixRMaj	DMatrixRMaj.create(int numRows, int numCols)
DMatrixRMaj	DMatrixRMaj.createLike()
DMatrixRMaj	DSubmatrixD1.extract()
static DMatrixRMaj	DMatrixRMaj.wrap(int numRows, int numCols, double[] data)	Creates a new DMatrixRMaj around the provided data.

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

Modifier	Constructor	Description
	DEigenpair(double value, DMatrixRMaj vector)
	DMatrixRMaj(DMatrixRMaj orig)	Creates a new matrix which is equivalent to the provided matrix.

Uses of DMatrixRMaj in org.ejml.dense.block

Methods in org.ejml.dense.block that return DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	MatrixOps_DDRB.convert(DMatrixRBlock src, DMatrixRMaj dst)	Converts a row major block matrix into a row major matrix.
static DMatrixRMaj	MatrixOps_DDRB.convertInplace(DMatrixRBlock src, @Nullable DMatrixRMaj dst, @Nullable DGrowArray workspace)	Converts a row major block matrix into a row major matrix.

Methods in org.ejml.dense.block with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	MatrixOps_DDRB.convert(DMatrixRBlock src, DMatrixRMaj dst)	Converts a row major block matrix into a row major matrix.
static DMatrixRBlock	MatrixOps_DDRB.convert(DMatrixRMaj A)
static DMatrixRBlock	MatrixOps_DDRB.convert(DMatrixRMaj A, int blockLength)
static void	MatrixOps_DDRB.convert(DMatrixRMaj src, DMatrixRBlock dst)	Converts a row major matrix into a row major block matrix.
static DMatrixRMaj	MatrixOps_DDRB.convertInplace(DMatrixRBlock src, @Nullable DMatrixRMaj dst, @Nullable DGrowArray workspace)	Converts a row major block matrix into a row major matrix.
static DMatrixRBlock	MatrixOps_DDRB.convertInplace(DMatrixRMaj src, @Nullable DMatrixRBlock dst, @Nullable DGrowArray workspace)	Converts a row major matrix into a row major block matrix.
static void	MatrixOps_DDRB.convertTranSrc(DMatrixRMaj src, DMatrixRBlock dst)	Converts the transpose of a row major matrix into a row major block matrix.

Uses of DMatrixRMaj in org.ejml.dense.block.decomposition.hessenberg

Fields in org.ejml.dense.block.decomposition.hessenberg declared as DMatrixRMaj

Modifier and Type	Field	Description
protected DMatrixRMaj	TridiagonalDecompositionHouseholder_DDRB.zerosM
protected DMatrixRMaj	TridiagonalDecompositionHouseholder_MT_DDRB.zerosM

Uses of DMatrixRMaj in org.ejml.dense.row

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

Modifier and Type	Method	Description
static DMatrixRMaj	CommonOps_DDRM.apply(DMatrixRMaj input, DOperatorUnary func)
static DMatrixRMaj	CommonOps_DDRM.apply(DMatrixRMaj input, DOperatorUnary func, @Nullable DMatrixRMaj output)	This applies a given unary function on every value stored in the matrix
static DMatrixRMaj[]	CommonOps_DDRM.columnsToVector(DMatrixRMaj A, @Nullable DMatrixRMaj[] v)	Converts the columns in a matrix into a set of vectors.
static DMatrixRMaj	CommonOps_DDRM.concatColumns(DMatrixRMaj a, DMatrixRMaj b, @Nullable DMatrixRMaj output)	output = [a , b]
static DMatrixRMaj	CommonOps_DDRM.concatColumnsMulti(DMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static DMatrixRMaj	CommonOps_DDRM.concatRowsMulti(DMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static DMatrixRMaj	SpecializedOps_DDRM.copyChangeRow(int[] order, DMatrixRMaj src, @Nullable DMatrixRMaj dst)	Creates a copy of a matrix but swaps the rows as specified by the order array.
static DMatrixRMaj	SpecializedOps_DDRM.copyTriangle(DMatrixRMaj src, @Nullable DMatrixRMaj dst, boolean upper)	Copies just the upper or lower triangular portion of a matrix.
static DMatrixRMaj	EigenOps_DDRM.createMatrixD(EigenDecomposition_F64<?> eig)	A diagonal matrix where real diagonal element contains a real eigenvalue.
static DMatrixRMaj	EigenOps_DDRM.createMatrixV(EigenDecomposition_F64<DMatrixRMaj> eig)	Puts all the real eigenvectors into the columns of a matrix.
static DMatrixRMaj	SpecializedOps_DDRM.createReflector(DMatrix1Row u)	Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static DMatrixRMaj	SpecializedOps_DDRM.createReflector(DMatrixRMaj u, double gamma)	Creates a reflector from the provided vector and gamma. Q = I - γ u uT
static DMatrixRMaj	CommonOps_DDRM.diag(double... diagEl)	Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero. aij = 0 if i ≤ j aij = diag[i] if i = j
static DMatrixRMaj	CommonOps_DDRM.diag(@Nullable DMatrixRMaj ret, int width, double... diagEl)
static DMatrixRMaj	RandomMatrices_DDRM.diagonal(int N, double min, double max, Random rand)	Creates a random diagonal matrix where the diagonal elements are selected from a uniform distribution that goes from min to max.
static DMatrixRMaj	RandomMatrices_DDRM.diagonal(int numRows, int numCols, double min, double max, Random rand)	Creates a random matrix where all elements are zero but diagonal elements.
static DMatrixRMaj	CommonOps_DDRM.diagR(int numRows, int numCols, double... diagEl)	Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero. aij = 0 if i ≤ j aij = diag[i] if i = j
static DMatrixRMaj	CommonOps_DDRM.elements(DMatrixRMaj A, BMatrixRMaj marked, @Nullable DMatrixRMaj output)	Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'
static DMatrixRMaj	CommonOps_DDRM.extract(DMatrixRMaj src, int[] rows, int rowsSize, int[] cols, int colsSize, @Nullable DMatrixRMaj dst)	Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists
static DMatrixRMaj	CommonOps_DDRM.extract(DMatrixRMaj src, int[] indexes, int length, @Nullable DMatrixRMaj dst)	Extracts the elements from the source matrix by their 1D index.
static DMatrixRMaj	CommonOps_DDRM.extract(DMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)	Creates a new matrix which is the specified submatrix of 'src'
static DMatrixRMaj	CommonOps_DDRM.extractColumn(DMatrixRMaj a, int column, @Nullable DMatrixRMaj out)	Extracts the column from a matrix.
static DMatrixRMaj	CommonOps_DDRM.extractDiag(DMatrixRMaj src, @Nullable DMatrixRMaj dst)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static DMatrixRMaj	CommonOps_DDRM.extractRow(DMatrixRMaj a, int row, @Nullable DMatrixRMaj out)	Extracts the row from a matrix.
static DMatrixRMaj	CommonOps_DDRM.identity(int width)	Creates an identity matrix of the specified size. aij = 0 if i ≠ j aij = 1 if i = j
static DMatrixRMaj	CommonOps_DDRM.identity(int numRows, int numCols)	Creates a rectangular matrix which is zero except along the diagonals.
static DMatrixRMaj	CommonOps_ZDRM.imaginary(ZMatrixD1 input, @Nullable DMatrixRMaj output)	Places the imaginary component of the input matrix into the output matrix.
static DMatrixRMaj	RandomMatrices_DDRM.insideSpan(DMatrixRMaj[] span, double min, double max, Random rand)	Creates a random vector that is inside the specified span.
static DMatrixRMaj	CommonOps_DDRM.kron(DMatrixRMaj A, DMatrixRMaj B, @Nullable DMatrixRMaj C)	The Kronecker product of two matrices is defined as: Cij = aijB where Cij is a sub matrix inside of C ∈ ℜ m*k × n*l, A ∈ ℜ m × n, and B ∈ ℜ k × l.
static DMatrixRMaj	CommonOps_ZDRM.magnitude(ZMatrixD1 input, @Nullable DMatrixRMaj output)	Computes the magnitude of the complex number in the input matrix and stores the results in the output matrix.
static DMatrixRMaj	CommonOps_DDRM.maxCols(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the minimum value along column in the input matrix and returns the results in a vector: bj = min(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DDRM.maxRows(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the maximum value along each row in the input matrix and returns the results in a vector: bj = max(i=1:n ; aji)
static DMatrixRMaj	CommonOps_DDRM.minCols(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the minimum value along column in the input matrix and returns the results in a vector: bj = min(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DDRM.minRows(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the minimum value along each row in the input matrix and returns the results in a vector: bj = min(i=1:n ; aji)
static DMatrixRMaj	SingularOps_DDRM.nullSpace(SingularValueDecomposition_F64<DMatrixRMaj> svd, @Nullable DMatrixRMaj nullSpace, double tol)	Returns the null-space from the singular value decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullspaceQR(DMatrixRMaj A, int totalSingular)	Computes the null space using QR decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullspaceQRP(DMatrixRMaj A, int totalSingular)	Computes the null space using QRP decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullspaceSVD(DMatrixRMaj A, int totalSingular)	Computes the null space using SVD.
static DMatrixRMaj	SingularOps_DDRM.nullVector(SingularValueDecomposition_F64<DMatrixRMaj> svd, boolean isRight, @Nullable DMatrixRMaj nullVector)	The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static DMatrixRMaj	RandomMatrices_DDRM.orthogonal(int numRows, int numCols, Random rand)	Creates a random orthogonal or isometric matrix, depending on the number of rows and columns.
static DMatrixRMaj	CommonOps_DDRM.permuteRowInv(int[] pinv, DMatrixRMaj input, DMatrixRMaj output)	Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.
static DMatrixRMaj	SpecializedOps_DDRM.pivotMatrix(@Nullable DMatrixRMaj ret, int[] pivots, int numPivots, boolean transposed)	Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static DMatrixRMaj	CommonOps_ZDRM.real(ZMatrixD1 input, @Nullable DMatrixRMaj output)	Places the real component of the input matrix into the output matrix.
static DMatrixRMaj	RandomMatrices_DDRM.rectangle(int numRow, int numCol, double min, double max, Random rand)	Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.
static DMatrixRMaj	RandomMatrices_DDRM.rectangle(int numRow, int numCol, Random rand)	Returns a matrix where all the elements are selected independently from a uniform distribution between 0 and 1 inclusive.
static DMatrixRMaj	RandomMatrices_DDRM.rectangleGaussian(int numRow, int numCol, double mean, double stdev, Random rand)	Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation
static DMatrixRMaj[]	CommonOps_DDRM.rowsToVector(DMatrixRMaj A, @Nullable DMatrixRMaj[] v)	Converts the rows in a matrix into a set of vectors.
static DMatrixRMaj	CommonOps_DDRM.rref(DMatrixRMaj A, int numUnknowns, @Nullable DMatrixRMaj reduced)	Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.
static DMatrixRMaj	RandomMatrices_DDRM.singular(int numRows, int numCols, Random rand, double... sv)	Creates a random matrix which will have the provided singular values.
static DMatrixRMaj[]	RandomMatrices_DDRM.span(int dimen, int numVectors, Random rand)	Creates a randomly generated set of orthonormal vectors.
static DMatrixRMaj[]	SpecializedOps_DDRM.splitIntoVectors(DMatrix1Row A, boolean column)	Takes a matrix and splits it into a set of row or column vectors.
static DMatrixRMaj	CommonOps_DDRM.sumCols(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Computes the sum of each column in the input matrix and returns the results in a vector: bj = sum(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DDRM.sumRows(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Computes the sum of each row in the input matrix and returns the results in a vector: bj = sum(i=1:n ; aji)
static DMatrixRMaj	RandomMatrices_DDRM.symmetric(int length, double min, double max, Random rand)	Creates a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
static DMatrixRMaj	RandomMatrices_DDRM.symmetricPosDef(int width, Random rand)	Creates a random symmetric positive definite matrix.
static DMatrixRMaj	RandomMatrices_DDRM.symmetricWithEigenvalues(int num, Random rand, double... eigenvalues)	Creates a new random symmetric matrix that will have the specified real eigenvalues.
static DMatrixRMaj	CommonOps_DDRM.transpose(DMatrixRMaj A, @Nullable DMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.
static DMatrixRMaj	CommonOps_MT_DDRM.transpose(DMatrixRMaj A, @Nullable DMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.
static DMatrixRMaj	RandomMatrices_DDRM.triangularLower(int dimen, int hessenberg, double min, double max, Random rand)	Creates a lower triangular matrix whose values are selected from a uniform distribution.
static DMatrixRMaj	RandomMatrices_DDRM.triangularUpper(int dimen, int hessenberg, double min, double max, Random rand)	Creates an upper triangular matrix whose values are selected from a uniform distribution.

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

Modifier and Type	Method	Description
static void	RandomMatrices_DDRM.addUniform(DMatrixRMaj A, double min, double max, Random rand)	Adds random values to each element in the matrix from an uniform distribution. aij = aij + U(min,max)
static DMatrixRMaj	CommonOps_DDRM.apply(DMatrixRMaj input, DOperatorUnary func)
static DMatrixRMaj	CommonOps_DDRM.apply(DMatrixRMaj input, DOperatorUnary func, @Nullable DMatrixRMaj output)	This applies a given unary function on every value stored in the matrix
static double[]	EigenOps_DDRM.boundLargestEigenValue(DMatrixRMaj A, @org.jetbrains.annotations.Nullable double[] bound)	Generates a bound for the largest eigen value of the provided matrix using Perron-Frobenius theorem.
static void	SingularOps_DDRM.checkSvdMatrixSize(@Nullable DMatrixRMaj U, boolean tranU, DMatrixRMaj W, @Nullable DMatrixRMaj V, boolean tranV)	Checks to see if all the provided matrices are the expected size for an SVD.
static DMatrixRMaj[]	CommonOps_DDRM.columnsToVector(DMatrixRMaj A, @Nullable DMatrixRMaj[] v)	Converts the columns in a matrix into a set of vectors.
static double	EigenOps_DDRM.computeEigenValue(DMatrixRMaj A, DMatrixRMaj eigenVector)	Given matrix A and an eigen vector of A, compute the corresponding eigen value.
static @Nullable DEigenpair	EigenOps_DDRM.computeEigenVector(DMatrixRMaj A, double eigenvalue)	Given an eigenvalue it computes an eigenvector using inverse iteration: for i=1:MAX { (A - μI)z(i) = q(i-1) q(i) = z(i) / ||z(i)|| λ(i) = q(i)T A q(i) }
static DMatrixRMaj	CommonOps_DDRM.concatColumns(DMatrixRMaj a, DMatrixRMaj b, @Nullable DMatrixRMaj output)	output = [a , b]
static DMatrixRMaj	CommonOps_DDRM.concatColumnsMulti(DMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static void	CommonOps_DDRM.concatRows(DMatrixRMaj a, DMatrixRMaj b, DMatrixRMaj output)	output = [a ; b]
static DMatrixRMaj	CommonOps_DDRM.concatRowsMulti(DMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static double	NormOps_DDRM.conditionP(DMatrixRMaj A, double p)	The condition number of a matrix is used to measure the sensitivity of the linear system Ax=b.
static double	NormOps_DDRM.conditionP2(DMatrixRMaj A)	The condition p = 2 number of a matrix is used to measure the sensitivity of the linear system Ax=b.
static DMatrixRMaj	SpecializedOps_DDRM.copyChangeRow(int[] order, DMatrixRMaj src, @Nullable DMatrixRMaj dst)	Creates a copy of a matrix but swaps the rows as specified by the order array.
static DMatrixRMaj	SpecializedOps_DDRM.copyTriangle(DMatrixRMaj src, @Nullable DMatrixRMaj dst, boolean upper)	Copies just the upper or lower triangular portion of a matrix.
static int	MatrixFeatures_DDRM.countNonZero(DMatrixRMaj A)	Counts the number of elements in A which are not zero.
static DMatrixRMaj	SpecializedOps_DDRM.createReflector(DMatrixRMaj u, double gamma)	Creates a reflector from the provided vector and gamma. Q = I - γ u uT
static void	SingularOps_DDRM.descendingOrder(@Nullable DMatrixRMaj U, boolean tranU, double[] singularValues, int singularLength, @Nullable DMatrixRMaj V, boolean tranV)	Similar to SingularOps_DDRM.descendingOrder(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) but takes in an array of singular values instead.
static void	SingularOps_DDRM.descendingOrder(DMatrixRMaj U, boolean tranU, DMatrixRMaj W, DMatrixRMaj V, boolean tranV)	Adjusts the matrices so that the singular values are in descending order.
static double	CommonOps_DDRM.det(DMatrixRMaj mat)	Returns the determinant of the matrix.
static DMatrixRMaj	CommonOps_DDRM.diag(@Nullable DMatrixRMaj ret, int width, double... diagEl)
static void	CommonOps_DDRM.divideCols(DMatrixRMaj A, double[] values)	Divides every element in column i by value[i].
static void	CommonOps_DDRM.divideRows(double[] values, DMatrixRMaj A)	Divides every element in row i by value[i].
static void	CommonOps_DDRM.divideRowsCols(double[] diagA, int offsetA, DMatrixRMaj B, double[] diagC, int offsetC)	Equivalent to multiplying a matrix B by the inverse of two diagonal matrices.
static @Nullable DEigenpair	EigenOps_DDRM.dominantEigenpair(DMatrixRMaj A)	Computes the dominant eigen vector for a matrix.
static BMatrixRMaj	CommonOps_DDRM.elementBoolean(DMatrixRMaj input, DElementCoorBoolean func, @Nullable BMatrixRMaj output)	Applies a binary operator to even element in the input matrix.
static BMatrixRMaj	CommonOps_DDRM.elementLessThan(DMatrixRMaj A, double value, @Nullable BMatrixRMaj output)	Applies the > operator to each element in A.
static BMatrixRMaj	CommonOps_DDRM.elementLessThan(DMatrixRMaj A, DMatrixRMaj B, @Nullable BMatrixRMaj output)	Applies the < operator to each element in A.
static BMatrixRMaj	CommonOps_DDRM.elementLessThanOrEqual(DMatrixRMaj A, double value, @Nullable BMatrixRMaj output)	Applies the ≥ operator to each element in A.
static BMatrixRMaj	CommonOps_DDRM.elementLessThanOrEqual(DMatrixRMaj A, DMatrixRMaj B, @Nullable BMatrixRMaj output)	Applies the A ≤ B operator to each element.
static BMatrixRMaj	CommonOps_DDRM.elementMoreThan(DMatrixRMaj A, double value, @Nullable BMatrixRMaj output)	Applies the > operator to each element in A.
static BMatrixRMaj	CommonOps_DDRM.elementMoreThanOrEqual(DMatrixRMaj A, double value, @Nullable BMatrixRMaj output)	Applies the ≥ operator to each element in A.
static DMatrixRMaj	CommonOps_DDRM.elements(DMatrixRMaj A, BMatrixRMaj marked, @Nullable DMatrixRMaj output)	Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'
static DMatrixRMaj	CommonOps_DDRM.extract(DMatrixRMaj src, int[] rows, int rowsSize, int[] cols, int colsSize, @Nullable DMatrixRMaj dst)	Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists
static DMatrixRMaj	CommonOps_DDRM.extract(DMatrixRMaj src, int[] indexes, int length, @Nullable DMatrixRMaj dst)	Extracts the elements from the source matrix by their 1D index.
static DMatrixRMaj	CommonOps_DDRM.extract(DMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)	Creates a new matrix which is the specified submatrix of 'src'
static DMatrixRMaj	CommonOps_DDRM.extractColumn(DMatrixRMaj a, int column, @Nullable DMatrixRMaj out)	Extracts the column from a matrix.
static DMatrixRMaj	CommonOps_DDRM.extractDiag(DMatrixRMaj src, @Nullable DMatrixRMaj dst)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static DMatrixRMaj	CommonOps_DDRM.extractRow(DMatrixRMaj a, int row, @Nullable DMatrixRMaj out)	Extracts the row from a matrix.
static double	NormOps_DDRM.fastNormP(DMatrixRMaj A, double p)	An unsafe but faster version of NormOps_DDRM.normP(org.ejml.data.DMatrixRMaj, double) that calls routines which are faster but more prone to overflow/underflow problems.
static double	NormOps_DDRM.fastNormP2(DMatrixRMaj A)	Computes the p=2 norm.
static void	RandomMatrices_DDRM.fillUniform(DMatrixRMaj mat, Random rand)	Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.
static DMatrixRMaj	CommonOps_ZDRM.imaginary(ZMatrixD1 input, @Nullable DMatrixRMaj output)	Places the imaginary component of the input matrix into the output matrix.
static double	NormOps_DDRM.inducedP1(DMatrixRMaj A)	Computes the induced p = 1 matrix norm. ||A||1= max(j=1 to n; sum(i=1 to m; |aij|))
static double	NormOps_DDRM.inducedP2(DMatrixRMaj A)	Computes the induced p = 2 matrix norm, which is the largest singular value.
static double	NormOps_DDRM.inducedPInf(DMatrixRMaj A)	Induced matrix p = infinity norm. ||A||∞ = max(i=1 to m; sum(j=1 to n; |aij|))
static void	CommonOps_DDRM.insert(DMatrixRMaj src, DMatrixRMaj dst, int[] rows, int rowsSize, int[] cols, int colsSize)	Inserts into the specified elements of dst the source matrix.
static DMatrixRMaj	RandomMatrices_DDRM.insideSpan(DMatrixRMaj[] span, double min, double max, Random rand)	Creates a random vector that is inside the specified span.
static boolean	CommonOps_DDRM.invert(DMatrixRMaj mat)	Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix. a = a-1
static boolean	CommonOps_DDRM.invert(DMatrixRMaj mat, DMatrixRMaj result)	Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
static boolean	CovarianceOps_DDRM.invert(DMatrixRMaj cov)	Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
static boolean	CovarianceOps_DDRM.invert(DMatrixRMaj cov, DMatrixRMaj cov_inv)	Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
static boolean	CommonOps_DDRM.invertSPD(DMatrixRMaj mat, DMatrixRMaj result)	Matrix inverse for symmetric positive definite matrices.
static boolean	MatrixFeatures_DDRM.isConstantVal(DMatrixRMaj mat, double val, double tol)	Checks to see if every value in the matrix is the specified value.
static boolean	MatrixFeatures_DDRM.isDiagonalNotNegative(DMatrixRMaj a)	Checks to see if diagonal element are all not negative, i.e.
static boolean	MatrixFeatures_DDRM.isDiagonalPositive(DMatrixRMaj a)	Checks to see if all the diagonal elements in the matrix are positive.
static boolean	MatrixFeatures_DDRM.isFullRank(DMatrixRMaj a)
static boolean	MatrixFeatures_DDRM.isIdentity(DMatrixRMaj mat, double tol)	Checks to see if the provided matrix is within tolerance to an identity matrix.
static boolean	MatrixFeatures_DDRM.isInverse(DMatrixRMaj a, DMatrixRMaj b, double tol)	Checks to see if the two matrices are inverses of each other.
static boolean	MatrixFeatures_DDRM.isLowerTriangle(DMatrixRMaj A, int hessenberg, double tol)	Checks to see if a matrix is lower triangular or Hessenberg.
static boolean	MatrixFeatures_DDRM.isOrthogonal(DMatrixRMaj Q, double tol)	Checks to see if a matrix is orthogonal or isometric.
static boolean	MatrixFeatures_DDRM.isPositiveDefinite(DMatrixRMaj A)	Checks to see if the matrix is positive definite.
static boolean	MatrixFeatures_DDRM.isPositiveSemidefinite(DMatrixRMaj A)	Checks to see if the matrix is positive semidefinite:
static boolean	MatrixFeatures_DDRM.isRowsLinearIndependent(DMatrixRMaj A)	Checks to see if the rows of the provided matrix are linearly independent.
static boolean	MatrixFeatures_DDRM.isSkewSymmetric(DMatrixRMaj A, double tol)	Checks to see if a matrix is skew symmetric with in tolerance: -A = AT or |aij + aji| ≤ tol
static boolean	MatrixFeatures_DDRM.isSymmetric(DMatrixRMaj m)	Returns true if the matrix is perfectly symmetric.
static boolean	MatrixFeatures_DDRM.isSymmetric(DMatrixRMaj m, double tol)	Returns true if the matrix is symmetric within the tolerance.
static boolean	MatrixFeatures_DDRM.isUpperTriangle(DMatrixRMaj A, int hessenberg, double tol)	Checks to see if a matrix is upper triangular or Hessenberg.
static int	CovarianceOps_DDRM.isValid(DMatrixRMaj cov)	Performs a variety of tests to see if the provided matrix is a valid covariance matrix, performing the fastest checks first.
static boolean	CovarianceOps_DDRM.isValidFast(DMatrixRMaj cov)	This is a fairly light weight check to see of a covariance matrix is valid.
static DMatrixRMaj	CommonOps_DDRM.kron(DMatrixRMaj A, DMatrixRMaj B, @Nullable DMatrixRMaj C)	The Kronecker product of two matrices is defined as: Cij = aijB where Cij is a sub matrix inside of C ∈ ℜ m*k × n*l, A ∈ ℜ m × n, and B ∈ ℜ k × l.
static DMatrixRMaj	CommonOps_ZDRM.magnitude(ZMatrixD1 input, @Nullable DMatrixRMaj output)	Computes the magnitude of the complex number in the input matrix and stores the results in the output matrix.
static DMatrixRMaj	CommonOps_DDRM.maxCols(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the minimum value along column in the input matrix and returns the results in a vector: bj = min(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DDRM.maxRows(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the maximum value along each row in the input matrix and returns the results in a vector: bj = max(i=1:n ; aji)
static DMatrixRMaj	CommonOps_DDRM.minCols(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the minimum value along column in the input matrix and returns the results in a vector: bj = min(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DDRM.minRows(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Finds the element with the minimum value along each row in the input matrix and returns the results in a vector: bj = min(i=1:n ; aji)
static void	CommonOps_DDRM.multCols(DMatrixRMaj A, double[] values)	Multiplies every element in column i by value[i].
static void	SpecializedOps_DDRM.multLowerTranA(DMatrixRMaj mat)	Performs L = LT*L
static void	SpecializedOps_DDRM.multLowerTranB(DMatrixRMaj mat)	Performs L = L*LT
static void	CommonOps_DDRM.multRows(double[] values, DMatrixRMaj A)	Multiplies every element in row i by value[i].
void	CovarianceRandomDraw_DDRM.next(DMatrixRMaj x)	Makes a draw on the distribution.
static void	NormOps_DDRM.normalizeF(DMatrixRMaj A)	Normalizes the matrix such that the Frobenius norm is equal to one.
static double	NormOps_DDRM.normP(DMatrixRMaj A, double p)	Computes either the vector p-norm or the induced matrix p-norm depending on A being a vector or a matrix respectively.
static double	NormOps_DDRM.normP1(DMatrixRMaj A)	Computes the p=1 norm.
static double	NormOps_DDRM.normP2(DMatrixRMaj A)	Computes the p=2 norm.
static double	NormOps_DDRM.normPInf(DMatrixRMaj A)	Computes the p=∞ norm.
static int	MatrixFeatures_DDRM.nullity(DMatrixRMaj A)	Computes the nullity of a matrix using the default tolerance.
static int	MatrixFeatures_DDRM.nullity(DMatrixRMaj A, double threshold)	Computes the nullity of a matrix using the specified tolerance.
static int	SingularOps_DDRM.nullity(DMatrixRMaj A, double threshold)	Returns the matrix's nullity
static DMatrixRMaj	SingularOps_DDRM.nullSpace(SingularValueDecomposition_F64<DMatrixRMaj> svd, @Nullable DMatrixRMaj nullSpace, double tol)	Returns the null-space from the singular value decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullspaceQR(DMatrixRMaj A, int totalSingular)	Computes the null space using QR decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullspaceQRP(DMatrixRMaj A, int totalSingular)	Computes the null space using QRP decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullspaceSVD(DMatrixRMaj A, int totalSingular)	Computes the null space using SVD.
static DMatrixRMaj	SingularOps_DDRM.nullVector(SingularValueDecomposition_F64<DMatrixRMaj> svd, boolean isRight, @Nullable DMatrixRMaj nullVector)	The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static DMatrixRMaj	CommonOps_DDRM.permuteRowInv(int[] pinv, DMatrixRMaj input, DMatrixRMaj output)	Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.
static void	CommonOps_DDRM.pinv(DMatrixRMaj A, DMatrixRMaj invA)	Computes the Moore-Penrose pseudo-inverse: pinv(A) = (ATA)-1 AT or pinv(A) = AT(AAT)-1
static DMatrixRMaj	SpecializedOps_DDRM.pivotMatrix(@Nullable DMatrixRMaj ret, int[] pivots, int numPivots, boolean transposed)	Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static void	CovarianceOps_DDRM.randomVector(DMatrixRMaj cov, DMatrixRMaj vector, Random rand)	Sets vector to a random value based upon a zero-mean multivariate Gaussian distribution with covariance 'cov'.
static int	MatrixFeatures_DDRM.rank(DMatrixRMaj A)	Computes the rank of a matrix using a default tolerance.
static int	MatrixFeatures_DDRM.rank(DMatrixRMaj A, double threshold)	Computes the rank of a matrix using the specified tolerance.
static int	SingularOps_DDRM.rank(DMatrixRMaj A)	Returns the matrix's rank.
static int	SingularOps_DDRM.rank(DMatrixRMaj A, double threshold)	Returns the matrix's rank
static DMatrixRMaj	CommonOps_ZDRM.real(ZMatrixD1 input, @Nullable DMatrixRMaj output)	Places the real component of the input matrix into the output matrix.
static void	CommonOps_DDRM.removeColumns(DMatrixRMaj A, int col0, int col1)	Removes columns from the matrix.
static DMatrixRMaj[]	CommonOps_DDRM.rowsToVector(DMatrixRMaj A, @Nullable DMatrixRMaj[] v)	Converts the rows in a matrix into a set of vectors.
static DMatrixRMaj	CommonOps_DDRM.rref(DMatrixRMaj A, int numUnknowns, @Nullable DMatrixRMaj reduced)	Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.
static void	CommonOps_DDRM.scaleCol(double alpha, DMatrixRMaj A, int col)	In-place scaling of a column in A
static void	CommonOps_DDRM.scaleRow(double alpha, DMatrixRMaj A, int row)	In-place scaling of a row in A
static double[]	SingularOps_DDRM.singularValues(DMatrixRMaj A)	Returns an array of all the singular values in A sorted in ascending order
static boolean	CommonOps_DDRM.solve(DMatrixRMaj a, DMatrixRMaj b, DMatrixRMaj x)	Solves for x in the following equation: A*x = b
static boolean	CommonOps_DDRM.solveSPD(DMatrixRMaj A, DMatrixRMaj b, DMatrixRMaj x)	Linear solver for systems which are symmetric positive definite. A*x = b
static DMatrixRMaj	CommonOps_DDRM.sumCols(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Computes the sum of each column in the input matrix and returns the results in a vector: bj = sum(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DDRM.sumRows(DMatrixRMaj input, @Nullable DMatrixRMaj output)	Computes the sum of each row in the input matrix and returns the results in a vector: bj = sum(i=1:n ; aji)
static boolean	SingularOps_DDRM.svd(DMatrixRMaj A, @Nullable DMatrixRMaj U, DGrowArray sv, @Nullable DMatrixRMaj Vt)	Computes the SVD and sorts singular values in descending order.
static void	RandomMatrices_DDRM.symmetric(DMatrixRMaj A, double min, double max, Random rand)	Sets the provided square matrix to be a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
static void	CommonOps_DDRM.symmLowerToFull(DMatrixRMaj A)	Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.
static void	CommonOps_DDRM.symmUpperToFull(DMatrixRMaj A)	Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.
static void	CommonOps_DDRM.transpose(DMatrixRMaj mat)	Performs an "in-place" transpose.
static DMatrixRMaj	CommonOps_DDRM.transpose(DMatrixRMaj A, @Nullable DMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.
static void	CommonOps_MT_DDRM.transpose(DMatrixRMaj mat)	Performs an "in-place" transpose.
static DMatrixRMaj	CommonOps_MT_DDRM.transpose(DMatrixRMaj A, @Nullable DMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.

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

Modifier and Type	Method	Description
static DMatrixRMaj	EigenOps_DDRM.createMatrixV(EigenDecomposition_F64<DMatrixRMaj> eig)	Puts all the real eigenvectors into the columns of a matrix.
static DMatrixRMaj	SingularOps_DDRM.nullSpace(SingularValueDecomposition_F64<DMatrixRMaj> svd, @Nullable DMatrixRMaj nullSpace, double tol)	Returns the null-space from the singular value decomposition.
static DMatrixRMaj	SingularOps_DDRM.nullVector(SingularValueDecomposition_F64<DMatrixRMaj> svd, boolean isRight, @Nullable DMatrixRMaj nullVector)	The vector associated will the smallest singular value is returned as the null space of the decomposed system.

Constructors in org.ejml.dense.row with parameters of type DMatrixRMaj

Modifier	Constructor	Description
	CovarianceRandomDraw_DDRM(Random rand, DMatrixRMaj cov)	Creates a random distribution with the specified mean and covariance.

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition

Methods in org.ejml.dense.row.decomposition that return DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	UtilDecompositons_DDRM.checkZerosLT(@Nullable DMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.
static DMatrixRMaj	UtilDecompositons_DDRM.checkZerosUT(@Nullable DMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.
static DMatrixRMaj	UtilDecompositons_DDRM.ensureIdentity(@Nullable DMatrixRMaj A, int numRows, int numCols)
static DMatrixRMaj	UtilDecompositons_DDRM.ensureZeros(@Nullable DMatrixRMaj A, int numRows, int numCols)

Methods in org.ejml.dense.row.decomposition with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	UtilDecompositons_DDRM.checkZerosLT(@Nullable DMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.
static DMatrixRMaj	UtilDecompositons_DDRM.checkZerosUT(@Nullable DMatrixRMaj A, int numRows, int numCols)	Creates a zeros matrix only if A does not already exist.
boolean	BaseDecomposition_DDRB_to_DDRM.decompose(DMatrixRMaj A)
static DMatrixRMaj	UtilDecompositons_DDRM.ensureIdentity(@Nullable DMatrixRMaj A, int numRows, int numCols)
static DMatrixRMaj	UtilDecompositons_DDRM.ensureZeros(@Nullable DMatrixRMaj A, int numRows, int numCols)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.bidiagonal

Methods in org.ejml.dense.row.decomposition.bidiagonal that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getB(@Nullable DMatrixRMaj B, boolean compact)	Returns the bidiagonal matrix.
DMatrixRMaj	BidiagonalDecompositionTall_DDRM.getB(@Nullable DMatrixRMaj B, boolean compact)
DMatrixRMaj	BidiagonalDecompositionTall_MT_DDRM.getB(@Nullable DMatrixRMaj B, boolean compact)
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact)	Returns the orthogonal U matrix.
DMatrixRMaj	BidiagonalDecompositionTall_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact)
DMatrixRMaj	BidiagonalDecompositionTall_MT_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact)
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getUBV()	The raw UBV matrix that is stored internally.
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact)	Returns the orthogonal V matrix.
DMatrixRMaj	BidiagonalDecompositionTall_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact)
DMatrixRMaj	BidiagonalDecompositionTall_MT_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact)
static DMatrixRMaj	BidiagonalDecompositionRow_DDRM.handleB(@Nullable DMatrixRMaj B, boolean compact, int m, int n, int min)
static DMatrixRMaj	BidiagonalDecompositionRow_DDRM.handleU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact, int m, int n, int min)
static DMatrixRMaj	BidiagonalDecompositionRow_DDRM.handleV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact, int m, int n, int min)

Methods in org.ejml.dense.row.decomposition.bidiagonal with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
boolean	BidiagonalDecompositionRow_DDRM.decompose(DMatrixRMaj A)	Computes the decomposition of the provided matrix.
boolean	BidiagonalDecompositionTall_DDRM.decompose(DMatrixRMaj orig)
boolean	BidiagonalDecompositionTall_MT_DDRM.decompose(DMatrixRMaj orig)
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getB(@Nullable DMatrixRMaj B, boolean compact)	Returns the bidiagonal matrix.
DMatrixRMaj	BidiagonalDecompositionTall_DDRM.getB(@Nullable DMatrixRMaj B, boolean compact)
DMatrixRMaj	BidiagonalDecompositionTall_MT_DDRM.getB(@Nullable DMatrixRMaj B, boolean compact)
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact)	Returns the orthogonal U matrix.
DMatrixRMaj	BidiagonalDecompositionTall_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact)
DMatrixRMaj	BidiagonalDecompositionTall_MT_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact)
DMatrixRMaj	BidiagonalDecompositionRow_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact)	Returns the orthogonal V matrix.
DMatrixRMaj	BidiagonalDecompositionTall_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact)
DMatrixRMaj	BidiagonalDecompositionTall_MT_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact)
static DMatrixRMaj	BidiagonalDecompositionRow_DDRM.handleB(@Nullable DMatrixRMaj B, boolean compact, int m, int n, int min)
static DMatrixRMaj	BidiagonalDecompositionRow_DDRM.handleU(@Nullable DMatrixRMaj U, boolean transpose, boolean compact, int m, int n, int min)
static DMatrixRMaj	BidiagonalDecompositionRow_DDRM.handleV(@Nullable DMatrixRMaj V, boolean transpose, boolean compact, int m, int n, int min)
protected void	BidiagonalDecompositionRow_DDRM.init(DMatrixRMaj A)	Sets up internal data structures and creates a copy of the input matrix.
protected void	BidiagonalDecompositionRow_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	BidiagonalDecompositionRow_MT_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	BidiagonalDecompositionRow_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	BidiagonalDecompositionRow_MT_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.chol

Fields in org.ejml.dense.row.decomposition.chol declared as DMatrixRMaj

Modifier and Type	Field	Description
protected DMatrixRMaj	CholeskyDecompositionCommon_DDRM.T

Methods in org.ejml.dense.row.decomposition.chol that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	CholeskyDecompositionLDL_DDRM.getD(@Nullable DMatrixRMaj D)
DMatrixRMaj	CholeskyDecompositionLDL_DDRM.getL()	Returns L matrix from the decomposition. L*D*LT=A
DMatrixRMaj	CholeskyDecompositionLDL_DDRM.getL(@Nullable DMatrixRMaj L)
DMatrixRMaj	CholeskyDecomposition_DDRB_to_DDRM.getT(@Nullable DMatrixRMaj T)
DMatrixRMaj	CholeskyDecompositionCommon_DDRM.getT()	Returns the triangular matrix from the decomposition.
DMatrixRMaj	CholeskyDecompositionCommon_DDRM.getT(@Nullable DMatrixRMaj T)

Methods in org.ejml.dense.row.decomposition.chol with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
boolean	CholeskyDecompositionCommon_DDRM.decompose(DMatrixRMaj mat)	Performs Choleksy decomposition on the provided matrix.
boolean	CholeskyDecompositionLDL_DDRM.decompose(DMatrixRMaj mat)	Performs Choleksy decomposition on the provided matrix.
DMatrixRMaj	CholeskyDecompositionLDL_DDRM.getD(@Nullable DMatrixRMaj D)
DMatrixRMaj	CholeskyDecompositionLDL_DDRM.getL(@Nullable DMatrixRMaj L)
DMatrixRMaj	CholeskyDecomposition_DDRB_to_DDRM.getT(@Nullable DMatrixRMaj T)
DMatrixRMaj	CholeskyDecompositionCommon_DDRM.getT(@Nullable DMatrixRMaj T)
void	CholeskyDecompositionBlock_DDRM.solveL_special(double[] L, DMatrixRMaj b_src, int indexSrc, int indexDst, DMatrixRMaj B)	This is a variation on the TriangularSolver_DDRM.solveL(double[], double[], int) function.
void	CholeskyDecompositionBlock_MT_DDRM.solveL_special(double[] L, DMatrixRMaj b_src, int indexSrc, int indexDst, DMatrixRMaj B)
void	CholeskyDecompositionBlock_DDRM.symmRankTranA_sub(DMatrixRMaj a, DMatrixRMaj c, int startIndexC)	Performs this operation: c = c - aTa where c is a submatrix.
void	CholeskyDecompositionBlock_MT_DDRM.symmRankTranA_sub(DMatrixRMaj a, DMatrixRMaj c, int startIndexC)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.eig

Methods in org.ejml.dense.row.decomposition.eig that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	EigenPowerMethod_DDRM.getEigenVector()
DMatrixRMaj	SwitchingEigenDecomposition_DDRM.getEigenVector(int index)
DMatrixRMaj	SymmetricQRAlgorithmDecomposition_DDRM.getEigenVector(int index)
DMatrixRMaj	WatchedDoubleStepQRDecomposition_DDRM.getEigenVector(int index)

Methods in org.ejml.dense.row.decomposition.eig with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
boolean	EigenPowerMethod_DDRM.computeDirect(DMatrixRMaj A)	This method computes the eigen vector with the largest eigen value by using the direct power method.
boolean	EigenPowerMethod_DDRM.computeShiftDirect(DMatrixRMaj A, double alpha)	Computes the most dominant eigen vector of A using a shifted matrix.
boolean	EigenPowerMethod_DDRM.computeShiftInvert(DMatrixRMaj A, double alpha)	Computes the most dominant eigen vector of A using an inverted shifted matrix.
boolean	SwitchingEigenDecomposition_DDRM.decompose(DMatrixRMaj orig)
boolean	SymmetricQRAlgorithmDecomposition_DDRM.decompose(DMatrixRMaj orig)	Decomposes the matrix using the QR algorithm.
boolean	WatchedDoubleStepQRDecomposition_DDRM.decompose(DMatrixRMaj A)
boolean	EigenvalueExtractor_DDRM.process(DMatrixRMaj A)
void	EigenPowerMethod_DDRM.setSeed(DMatrixRMaj seed)	Sets the value of the vector to use in the start of the iterations.

Constructor parameters in org.ejml.dense.row.decomposition.eig with type arguments of type DMatrixRMaj

Modifier	Constructor	Description
	SwitchingEigenDecomposition_DDRM(EigenDecomposition_F64<DMatrixRMaj> symmetricAlg, EigenDecomposition_F64<DMatrixRMaj> generalAlg, double tol)
	SymmetricQRAlgorithmDecomposition_DDRM(TridiagonalSimilarDecomposition_F64<DMatrixRMaj> decomp, boolean computeVectors)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.eig.symm

Fields in org.ejml.dense.row.decomposition.eig.symm declared as DMatrixRMaj

Modifier and Type	Field	Description
protected @Nullable DMatrixRMaj	SymmetricQREigenHelper_DDRM.Q

Methods in org.ejml.dense.row.decomposition.eig.symm that return DMatrixRMaj

Modifier and Type	Method	Description
@Nullable DMatrixRMaj	SymmetricQrAlgorithm_DDRM.getQ()

Methods in org.ejml.dense.row.decomposition.eig.symm with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	SymmetricQrAlgorithm_DDRM.setQ(@Nullable DMatrixRMaj q)
void	SymmetricQREigenHelper_DDRM.setQ(DMatrixRMaj q)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.eig.watched

Fields in org.ejml.dense.row.decomposition.eig.watched declared as DMatrixRMaj

Modifier and Type	Field	Description
protected DMatrixRMaj	WatchedDoubleStepQREigen_DDRM._temp
@Nullable DMatrixRMaj	WatchedDoubleStepQREigen_DDRM.Q
protected DMatrixRMaj	WatchedDoubleStepQREigen_DDRM.u

Methods in org.ejml.dense.row.decomposition.eig.watched that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj[]	WatchedDoubleStepQREigenvector_DDRM.getEigenvectors()
DMatrixRMaj	WatchedDoubleStepQREigenvector_DDRM.getQ()

Methods in org.ejml.dense.row.decomposition.eig.watched with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
boolean	WatchedDoubleStepQREigenvector_DDRM.extractVectors(DMatrixRMaj Q_h)
boolean	WatchedDoubleStepQREigenvalue_DDRM.process(DMatrixRMaj origA)
boolean	WatchedDoubleStepQREigenvector_DDRM.process(WatchedDoubleStepQREigen_DDRM implicit, DMatrixRMaj A, DMatrixRMaj Q_h)
protected void	WatchedDoubleStepQREigen_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	WatchedDoubleStepQREigen_MT_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	WatchedDoubleStepQREigen_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	WatchedDoubleStepQREigen_MT_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
void	WatchedDoubleStepQREigen_DDRM.setQ(@Nullable DMatrixRMaj Q)
void	WatchedDoubleStepQREigen_DDRM.setup(DMatrixRMaj A)
void	WatchedDoubleStepQREigenvalue_DDRM.setup(DMatrixRMaj A)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.hessenberg

Fields in org.ejml.dense.row.decomposition.hessenberg declared as DMatrixRMaj

Modifier and Type	Field	Description
protected DMatrixRMaj	TridiagonalDecompositionHouseholder_DDRM.QT	Only the upper right triangle is used.

Methods in org.ejml.dense.row.decomposition.hessenberg that return DMatrixRMaj

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

Methods in org.ejml.dense.row.decomposition.hessenberg with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
boolean	HessenbergSimilarDecomposition_DDRM.decompose(DMatrixRMaj A)	Computes the decomposition of the provided matrix.
boolean	TridiagonalDecompositionHouseholder_DDRM.decompose(DMatrixRMaj A)	Decomposes the provided symmetric matrix.
void	TridiagonalDecompositionHouseholderOrig_DDRM.decompose(DMatrixRMaj A)	Decomposes the provided symmetric matrix.
DMatrixRMaj	HessenbergSimilarDecomposition_DDRM.getH(@Nullable DMatrixRMaj H)	An upper Hessenberg matrix from the decomposition.
DMatrixRMaj	HessenbergSimilarDecomposition_DDRM.getQ(@Nullable DMatrixRMaj Q)	An orthogonal matrix that has the following property: H = QTAQ
DMatrixRMaj	TridiagonalDecomposition_DDRB_to_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean transposed)
DMatrixRMaj	TridiagonalDecompositionHouseholder_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean transposed)	An orthogonal matrix that has the following property: T = QTAQ
DMatrixRMaj	TridiagonalDecompositionHouseholderOrig_DDRM.getQ(@Nullable DMatrixRMaj Q)	An orthogonal matrix that has the following property: T = QTAQ
DMatrixRMaj	TridiagonalDecomposition_DDRB_to_DDRM.getT(@Nullable DMatrixRMaj T)
DMatrixRMaj	TridiagonalDecompositionHouseholder_DDRM.getT(@Nullable DMatrixRMaj T)	Extracts the tridiagonal matrix found in the decomposition.
DMatrixRMaj	TridiagonalDecompositionHouseholderOrig_DDRM.getT(@Nullable DMatrixRMaj T)	Extracts the tridiagonal matrix found in the decomposition.
void	TridiagonalDecompositionHouseholder_DDRM.init(DMatrixRMaj A)	If needed declares and sets up internal data structures.
void	TridiagonalDecompositionHouseholderOrig_DDRM.init(DMatrixRMaj A)	If needed declares and sets up internal data structures.
protected void	HessenbergSimilarDecomposition_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	HessenbergSimilarDecomposition_MT_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_MT_DDRM.rank1UpdateMultL(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	HessenbergSimilarDecomposition_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	HessenbergSimilarDecomposition_MT_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_MT_DDRM.rank1UpdateMultR(DMatrixRMaj A, double gamma, int colA0, int w0, int w1)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.lu

Fields in org.ejml.dense.row.decomposition.lu declared as DMatrixRMaj

Modifier and Type	Field	Description
protected DMatrixRMaj	LUDecompositionBase_DDRM.LU

Methods in org.ejml.dense.row.decomposition.lu that return DMatrixRMaj

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

Methods in org.ejml.dense.row.decomposition.lu with parameters of type DMatrixRMaj

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

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.qr

Fields in org.ejml.dense.row.decomposition.qr declared as DMatrixRMaj

Modifier and Type	Field	Description
protected DMatrixRMaj	QRDecompositionHouseholder_DDRM.QR	Where the Q and R matrices are stored.
protected DMatrixRMaj	QRDecompositionHouseholderTran_DDRM.QR	Where the Q and R matrices are stored.

Methods in org.ejml.dense.row.decomposition.qr that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	QRColPivDecompositionHouseholderColumn_DDRM.getColPivotMatrix(@Nullable DMatrixRMaj P)
DMatrixRMaj	QRColPivDecompositionHouseholderColumn_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
DMatrixRMaj	QRDecomposition_DDRB_to_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)
DMatrixRMaj	QRDecompositionHouseholder_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
DMatrixRMaj	QRDecompositionHouseholderColumn_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
DMatrixRMaj	QRDecompositionHouseholderColumn_MT_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)
DMatrixRMaj	QRDecompositionHouseholderTran_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
DMatrixRMaj	QRDecompositionHouseholder_DDRM.getQR()	Returns a single matrix which contains the combined values of Q and R.
DMatrixRMaj	QRDecompositionHouseholderTran_DDRM.getQR()	Inner matrix that stores the decomposition
DMatrixRMaj	QRDecomposition_DDRB_to_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)
DMatrixRMaj	QRDecompositionHouseholder_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
DMatrixRMaj	QRDecompositionHouseholderColumn_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
DMatrixRMaj	QRDecompositionHouseholderTran_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
DMatrixRMaj	QrUpdate_DDRM.getU_tran()

Methods in org.ejml.dense.row.decomposition.qr with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	QrUpdate_DDRM.addRow(DMatrixRMaj Q, DMatrixRMaj R, double[] row, int rowIndex, boolean resizeR)	Adjusts the values of the Q and R matrices to take in account the effects of inserting a row to the 'A' matrix at the specified location.
void	QRDecompositionHouseholderTran_DDRM.applyQ(DMatrixRMaj A)	A = Q*A
void	QRDecompositionHouseholderTran_DDRM.applyTranQ(DMatrixRMaj A)	A = QT*A
protected void	QRDecompositionHouseholder_DDRM.commonSetup(DMatrixRMaj A)	This function performs sanity check on the input for decompose and sets up the QR matrix.
protected void	QRDecompositionHouseholderColumn_DDRM.convertToColumnMajor(DMatrixRMaj A)	Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.
boolean	QRColPivDecompositionHouseholderColumn_DDRM.decompose(DMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholder_DDRM.decompose(DMatrixRMaj A)	In order to decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderColumn_DDRM.decompose(DMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderTran_DDRM.decompose(DMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
void	QrUpdate_DDRM.deleteRow(DMatrixRMaj Q, DMatrixRMaj R, int rowIndex, boolean resizeR)	Adjusts the values of the Q and R matrices to take in account the effects of removing a row from the 'A' matrix at the specified location.
DMatrixRMaj	QRColPivDecompositionHouseholderColumn_DDRM.getColPivotMatrix(@Nullable DMatrixRMaj P)
DMatrixRMaj	QRColPivDecompositionHouseholderColumn_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
DMatrixRMaj	QRDecomposition_DDRB_to_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)
DMatrixRMaj	QRDecompositionHouseholder_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
DMatrixRMaj	QRDecompositionHouseholderColumn_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
DMatrixRMaj	QRDecompositionHouseholderColumn_MT_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)
DMatrixRMaj	QRDecompositionHouseholderTran_DDRM.getQ(@Nullable DMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
DMatrixRMaj	QRDecomposition_DDRB_to_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)
DMatrixRMaj	QRDecompositionHouseholder_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
DMatrixRMaj	QRDecompositionHouseholderColumn_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
DMatrixRMaj	QRDecompositionHouseholderTran_DDRM.getR(@Nullable DMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
static void	QrHelperFunctions_DDRM.rank1UpdateMultL(DMatrixRMaj A, double[] u, double gamma, 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*uT)
static void	QrHelperFunctions_MT_DDRM.rank1UpdateMultL(DMatrixRMaj A, double[] u, double gamma, 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*uT)
static void	QrHelperFunctions_DDRM.rank1UpdateMultR(DMatrixRMaj A, double[] u, double gamma, int colA0, int w0, int w1, double[] _temp)	Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right. A = (I - γ*u*uT)*A
static void	QrHelperFunctions_DDRM.rank1UpdateMultR(DMatrixRMaj A, double[] u, int offsetU, double gamma, int colA0, int w0, int w1, double[] _temp)
static void	QrHelperFunctions_MT_DDRM.rank1UpdateMultR(DMatrixRMaj A, double[] u, double gamma, int colA0, int w0, int w1, double[] _temp)	Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right. A = (I - γ*u*uT)*A
static void	QrHelperFunctions_MT_DDRM.rank1UpdateMultR(DMatrixRMaj A, double[] u, int offsetU, double gamma, int colA0, int w0, int w1, double[] _temp)
static void	QrHelperFunctions_DDRM.rank1UpdateMultR_u0(DMatrixRMaj A, double[] u, double u_0, double gamma, int colA0, int w0, int w1, double[] _temp)
static void	QrHelperFunctions_MT_DDRM.rank1UpdateMultR_u0(DMatrixRMaj A, double[] u, double u_0, double gamma, int colA0, int w0, int w1, double[] _temp)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.svd

Fields in org.ejml.dense.row.decomposition.svd with type parameters of type DMatrixRMaj

Modifier and Type	Field	Description
protected BidiagonalDecomposition_F64<DMatrixRMaj>	SvdImplicitQrDecompose_DDRM.bidiag

Methods in org.ejml.dense.row.decomposition.svd that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	SafeSvd_DDRM.getU(@Nullable DMatrixRMaj U, boolean transposed)
DMatrixRMaj	SvdImplicitQrDecompose_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose)
DMatrixRMaj	SafeSvd_DDRM.getV(@Nullable DMatrixRMaj V, boolean transposed)
DMatrixRMaj	SvdImplicitQrDecompose_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose)
DMatrixRMaj	SafeSvd_DDRM.getW(@Nullable DMatrixRMaj W)
DMatrixRMaj	SvdImplicitQrDecompose_DDRM.getW(@Nullable DMatrixRMaj W)

Methods in org.ejml.dense.row.decomposition.svd with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
boolean	SafeSvd_DDRM.decompose(DMatrixRMaj orig)
boolean	SvdImplicitQrDecompose_DDRM.decompose(DMatrixRMaj orig)
DMatrixRMaj	SafeSvd_DDRM.getU(@Nullable DMatrixRMaj U, boolean transposed)
DMatrixRMaj	SvdImplicitQrDecompose_DDRM.getU(@Nullable DMatrixRMaj U, boolean transpose)
DMatrixRMaj	SafeSvd_DDRM.getV(@Nullable DMatrixRMaj V, boolean transposed)
DMatrixRMaj	SvdImplicitQrDecompose_DDRM.getV(@Nullable DMatrixRMaj V, boolean transpose)
DMatrixRMaj	SafeSvd_DDRM.getW(@Nullable DMatrixRMaj W)
DMatrixRMaj	SvdImplicitQrDecompose_DDRM.getW(@Nullable DMatrixRMaj W)
protected void	SvdImplicitQrDecompose_DDRM.transpose(@NotNull DMatrixRMaj V, DMatrixRMaj Vt)
protected void	SvdImplicitQrDecompose_MT_DDRM.transpose(@NotNull DMatrixRMaj V, DMatrixRMaj Vt)

Constructor parameters in org.ejml.dense.row.decomposition.svd with type arguments of type DMatrixRMaj

Modifier	Constructor	Description
	SafeSvd_DDRM(SingularValueDecomposition_F64<DMatrixRMaj> alg)

Uses of DMatrixRMaj in org.ejml.dense.row.decomposition.svd.implicitqr

Fields in org.ejml.dense.row.decomposition.svd.implicitqr declared as DMatrixRMaj

Modifier and Type	Field	Description
protected @Nullable DMatrixRMaj	SvdImplicitQrAlgorithm_DDRM.Ut
protected @Nullable DMatrixRMaj	SvdImplicitQrAlgorithm_DDRM.Vt

Methods in org.ejml.dense.row.decomposition.svd.implicitqr that return DMatrixRMaj

Modifier and Type	Method	Description
@Nullable DMatrixRMaj	SvdImplicitQrAlgorithm_DDRM.getUt()
@Nullable DMatrixRMaj	SvdImplicitQrAlgorithm_DDRM.getVt()

Methods in org.ejml.dense.row.decomposition.svd.implicitqr with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	SvdImplicitQrAlgorithm_DDRM.setUt(@Nullable DMatrixRMaj ut)
void	SvdImplicitQrAlgorithm_DDRM.setVt(@Nullable DMatrixRMaj vt)
protected void	SvdImplicitQrAlgorithm_DDRM.updateRotator(DMatrixRMaj Q, int m, int n, double c, double s)	Multiplied a transpose orthogonal matrix Q by the specified rotator.

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

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

Modifier and Type	Method	Description
static CholeskyDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.chol(boolean lower)	Returns a CholeskyDecomposition_F64 that isn't specialized for any specific matrix size.
static CholeskyDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.chol(int matrixSize, boolean lower)	Returns a CholeskyDecomposition_F64 that has been optimized for the specified matrix size.
static CholeskyDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.chol(boolean lower)	Returns a CholeskyDecomposition_F64 that isn't specialized for any specific matrix size.
static CholeskyDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.chol(int matrixSize, boolean lower)	Returns a CholeskyDecomposition_F64 that has been optimized for the specified matrix size.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.chol(int numRows)	Creates a linear solver using Cholesky decomposition
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_MT_DDRM.chol(int numRows)	Creates a linear solver using Cholesky decomposition
static CholeskyLDLDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.cholLDL()
static CholeskyLDLDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.cholLDL(int matrixSize)	Returns a CholeskyDecompositionLDL_DDRM that has been optimized for the specified matrix size.
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.eig(boolean needVectors)
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.eig(boolean computeVectors, boolean isSymmetric)
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.eig(int matrixSize, boolean needVectors)	Returns an EigenDecomposition that has been optimized for the specified matrix size.
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.eig(int matrixSize, boolean computeVectors, boolean isSymmetric)	Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.eig(boolean needVectors)
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.eig(boolean computeVectors, boolean isSymmetric)
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.eig(int matrixSize, boolean needVectors)	Returns an EigenDecomposition that has been optimized for the specified matrix size.
static EigenDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.eig(int matrixSize, boolean computeVectors, boolean isSymmetric)	Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.general(int numRows, int numCols)	Creates a general purpose solver.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.leastSquares(int numRows, int numCols)	Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_MT_DDRM.leastSquares(int numRows, int numCols)	Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.leastSquaresQrPivot(boolean computeNorm2, boolean computeQ)	Linear solver which uses QR pivot decomposition.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.linear(int matrixSize)	Creates a solver for linear systems.
static LUDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.lu()
static LUDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.lu(int numRows, int numCol)	Returns a LUDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.lu(int numRows)	Creates a linear solver using LU decomposition
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.pseudoInverse(boolean useSVD)	Returns a solver which uses the pseudo inverse.
static QRDecomposition<DMatrixRMaj>	DecompositionFactory_DDRM.qr()
static QRDecomposition<DMatrixRMaj>	DecompositionFactory_DDRM.qr(int numRows, int numCols)	Returns a QRDecomposition that has been optimized for the specified matrix size.
static QRDecomposition<DMatrixRMaj>	DecompositionFactory_MT_DDRM.qr()
static QRDecomposition<DMatrixRMaj>	DecompositionFactory_MT_DDRM.qr(int numRows, int numCols)	Returns a QRDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.qr(int numRows, int numCols)	Creates a linear solver using QR decomposition
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_MT_DDRM.qr(int numRows, int numCols)	Creates a linear solver using QR decomposition
static QRPDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.qrp()
static QRPDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.qrp(int numRows, int numCols)	Returns a QRPDecomposition_F64 that has been optimized for the specified matrix size.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.qrp(boolean computeNorm2, boolean computeQ)	Creates a linear solver using QRP decomposition
static SingularValueDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.svd(boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
static SingularValueDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.svd(int numRows, int numCols, boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that has been optimized for the specified matrix size.
static SingularValueDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.svd(boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
static SingularValueDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.svd(int numRows, int numCols, boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_DDRM.symmPosDef(int matrixWidth)	Creates a solver for symmetric positive definite matrices.
static LinearSolverDense<DMatrixRMaj>	LinearSolverFactory_MT_DDRM.symmPosDef(int matrixWidth)	Creates a solver for symmetric positive definite matrices.
static TridiagonalSimilarDecomposition_F64<DMatrixRMaj>	DecompositionFactory_DDRM.tridiagonal(int matrixSize)	Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.
static TridiagonalSimilarDecomposition_F64<DMatrixRMaj>	DecompositionFactory_MT_DDRM.tridiagonal(int matrixSize)	Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.

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

Modifier and Type	Method	Description
static double	DecompositionFactory_DDRM.quality(DMatrixRMaj orig, DMatrixRMaj U, DMatrixRMaj W, DMatrixRMaj Vt)
static double	DecompositionFactory_DDRM.quality(DMatrixRMaj orig, EigenDecomposition_F64<DMatrixRMaj> eig)	Computes a metric which measures the the quality of an eigen value decomposition.
static double	DecompositionFactory_DDRM.quality(DMatrixRMaj orig, SingularValueDecomposition<DMatrixRMaj> svd)	Computes a metric which measures the the quality of a singular value decomposition.

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

Modifier and Type	Method	Description
static double	DecompositionFactory_DDRM.quality(DMatrixRMaj orig, EigenDecomposition_F64<DMatrixRMaj> eig)	Computes a metric which measures the the quality of an eigen value decomposition.
static double	DecompositionFactory_DDRM.quality(DMatrixRMaj orig, SingularValueDecomposition<DMatrixRMaj> svd)	Computes a metric which measures the the quality of a singular value decomposition.

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

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

Modifier and Type	Field	Description
protected @Nullable DMatrixRMaj	LinearSolverAbstract_DDRM.A

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

Modifier and Type	Method	Description
@Nullable DMatrixRMaj	LinearSolverAbstract_DDRM.getA()

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

Modifier and Type	Method	Description
protected void	LinearSolverAbstract_DDRM._setA(DMatrixRMaj A)
static void	InvertUsingSolve_DDRM.invert(LinearSolverDense<DMatrixRMaj> solver, DMatrix1Row A, DMatrixRMaj A_inv)
static void	InvertUsingSolve_DDRM.invert(LinearSolverDense<DMatrixRMaj> solver, DMatrix1Row A, DMatrixRMaj A_inv, DMatrixRMaj storage)
void	LinearSolver_DDRB_to_DDRM.invert(DMatrixRMaj A_inv)	Creates a block matrix the same size as A_inv, inverts the matrix and copies the results back onto A_inv.
void	LinearSolverAbstract_DDRM.invert(DMatrixRMaj A_inv)
void	LinearSolverUnrolled_DDRM.invert(DMatrixRMaj A_inv)
boolean	LinearSolver_DDRB_to_DDRM.setA(DMatrixRMaj A)	Converts 'A' into a block matrix and call setA() on the block matrix solver.
boolean	LinearSolverUnrolled_DDRM.setA(DMatrixRMaj A)
void	LinearSolver_DDRB_to_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	Converts B and X into block matrices and calls the block matrix solve routine.
void	LinearSolverUnrolled_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)

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

Modifier and Type	Method	Description
static void	InvertUsingSolve_DDRM.invert(LinearSolverDense<DMatrixRMaj> solver, DMatrix1Row A, DMatrixRMaj A_inv)
static void	InvertUsingSolve_DDRM.invert(LinearSolverDense<DMatrixRMaj> solver, DMatrix1Row A, DMatrixRMaj A_inv, DMatrixRMaj storage)

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

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

Modifier and Type	Method	Description
CholeskyDecomposition_F64<DMatrixRMaj>	LinearSolverChol_DDRM.getDecomposition()
CholeskyLDLDecomposition_F64<DMatrixRMaj>	LinearSolverCholLDL_DDRM.getDecomposition()

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

Modifier and Type	Method	Description
void	LinearSolverChol_DDRM.invert(DMatrixRMaj inv)	Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
void	LinearSolverCholLDL_DDRM.invert(DMatrixRMaj inv)	Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
boolean	LinearSolverChol_DDRM.setA(DMatrixRMaj A)
boolean	LinearSolverCholLDL_DDRM.setA(DMatrixRMaj A)
void	LinearSolverChol_DDRB.solve(DMatrixRMaj B, DMatrixRMaj X)	Only converts the B matrix and passes that onto solve.
void	LinearSolverChol_DDRM.solve(DMatrixRMaj B, DMatrixRMaj 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.
void	LinearSolverCholLDL_DDRM.solve(DMatrixRMaj B, DMatrixRMaj 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.
static void	LinearSolverChol_DDRM.solveLower(DMatrixRMaj L, DMatrixRMaj B, DMatrixRMaj X, double[] vv)

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

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

Modifier and Type	Method	Description
void	LinearSolverLuBase_DDRM.improveSol(DMatrixRMaj b, DMatrixRMaj x)	This attempts to improve upon the solution generated by account for numerical imprecisions.
void	LinearSolverLuBase_DDRM.invert(DMatrixRMaj A_inv)
boolean	LinearSolverLuBase_DDRM.setA(DMatrixRMaj A)
boolean	LinearSolverLuKJI_DDRM.setA(DMatrixRMaj A)
void	LinearSolverLu_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)
void	LinearSolverLuKJI_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	An other implementation of solve() that processes the matrices in a different order.

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

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

Modifier and Type	Field	Description
protected final DMatrixRMaj	LinearSolverQrHouseCol_DDRM.a
protected DMatrixRMaj	BaseLinearSolverQrp_DDRM.I
protected DMatrixRMaj	LinearSolverQr_DDRM.Q
protected DMatrixRMaj	BaseLinearSolverQrp_DDRM.R
protected DMatrixRMaj	LinearSolverQr_DDRM.R
protected final DMatrixRMaj	LinearSolverQrHouseCol_DDRM.R
protected DMatrixRMaj	BaseLinearSolverQrp_DDRM.R11
protected final DMatrixRMaj	LinearSolverQrHouseCol_DDRM.temp
protected DMatrixRMaj	BaseLinearSolverQrp_DDRM.Y

Fields in org.ejml.dense.row.linsol.qr with type parameters of type DMatrixRMaj

Modifier and Type	Field	Description
protected LinearSolverDense<DMatrixRMaj>	BaseLinearSolverQrp_DDRM.internalSolver

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

Modifier and Type	Method	Description
DMatrixRMaj	AdjLinearSolverQr_DDRM.getA()	Compute the A matrix from the Q and R matrices.
DMatrixRMaj	LinearSolverQr_DDRM.getQ()
DMatrixRMaj	SolveNullSpaceQR_DDRM.getQ()
DMatrixRMaj	SolveNullSpaceQRP_DDRM.getQ()
DMatrixRMaj	LinearSolverQr_DDRM.getR()

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

Modifier and Type	Method	Description
QRDecomposition<DMatrixRMaj>	LinearSolverQr_DDRM.getDecomposer()
QRPDecomposition_F64<DMatrixRMaj>	BaseLinearSolverQrp_DDRM.getDecomposition()
QRDecomposition<DMatrixRMaj>	LinearSolverQr_DDRM.getDecomposition()
QRDecomposition<DMatrixRMaj>	LinearSolverQrHouse_DDRM.getDecomposition()
QRDecomposition<DMatrixRMaj>	LinearSolverQrHouseCol_DDRM.getDecomposition()
QRDecomposition<DMatrixRMaj>	LinearSolverQrHouseTran_DDRM.getDecomposition()

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

Modifier and Type	Method	Description
void	BaseLinearSolverQrp_DDRM.invert(DMatrixRMaj A_inv)
boolean	SolveNullSpaceQR_DDRM.process(DMatrixRMaj A, int numSingularValues, DMatrixRMaj nullspace)	Finds the null space of A
boolean	SolveNullSpaceQRP_DDRM.process(DMatrixRMaj A, int numSingularValues, DMatrixRMaj nullspace)	Finds the null space of A
boolean	BaseLinearSolverQrp_DDRM.setA(DMatrixRMaj A)
boolean	LinearSolverQr_DDRM.setA(DMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouse_DDRM.setA(DMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouseCol_DDRM.setA(DMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouseTran_DDRM.setA(DMatrixRMaj A)	Performs QR decomposition on A
boolean	SolvePseudoInverseQrp_DDRM.setA(DMatrixRMaj A)
void	LinearSolverQr_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouse_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseCol_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseCol_MT_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseTran_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrpHouseCol_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)
void	SolvePseudoInverseQrp_DDRM.solve(DMatrixRMaj B, DMatrixRMaj X)
protected void	BaseLinearSolverQrp_DDRM.upgradeSolution(DMatrixRMaj X)	Upgrades the basic solution to the optimal 2-norm solution.

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

Modifier	Constructor	Description
protected	BaseLinearSolverQrp_DDRM(QRPDecomposition_F64<DMatrixRMaj> decomposition, boolean norm2Solution)	Configures internal parameters.
	LinearSolverQr_DDRM(QRDecomposition<DMatrixRMaj> decomposer)	Creates a linear solver that uses QR decomposition.
	SolvePseudoInverseQrp_DDRM(QRPDecomposition_F64<DMatrixRMaj> decomposition, boolean norm2Solution)	Configure and provide decomposition

Uses of DMatrixRMaj in org.ejml.dense.row.linsol.svd

Methods in org.ejml.dense.row.linsol.svd that return types with arguments of type DMatrixRMaj

Modifier and Type	Method	Description
SingularValueDecomposition<DMatrixRMaj>	SolvePseudoInverseSvd_DDRM.getDecomposer()
SingularValueDecomposition_F64<DMatrixRMaj>	SolvePseudoInverseSvd_DDRM.getDecomposition()
SingularValueDecomposition_F64<DMatrixRMaj>	SolveNullSpaceSvd_DDRM.getSvd()

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

Modifier and Type	Method	Description
void	SolvePseudoInverseSvd_DDRM.invert(DMatrixRMaj A_inv)
boolean	SolveNullSpaceSvd_DDRM.process(DMatrixRMaj input, int numberOfSingular, DMatrixRMaj nullspace)
boolean	SolvePseudoInverseSvd_DDRM.setA(DMatrixRMaj A)
void	SolvePseudoInverseSvd_DDRM.solve(DMatrixRMaj b, DMatrixRMaj x)

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

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

Modifier and Type	Method	Description
static void	ImplCommonOps_DDRM.extract(DMatrixRMaj src, int srcY0, int srcX0, DMatrixRMaj dst, int dstY0, int dstX0, int numRows, int numCols)
static void	UnrolledInverseFromMinor_DDRM.inv(DMatrixRMaj mat, DMatrixRMaj inv)
static void	UnrolledInverseFromMinor_DDRM.inv2(DMatrixRMaj mat, DMatrixRMaj inv, double scale)
static void	UnrolledInverseFromMinor_DDRM.inv3(DMatrixRMaj mat, DMatrixRMaj inv, double scale)
static void	UnrolledInverseFromMinor_DDRM.inv4(DMatrixRMaj mat, DMatrixRMaj inv, double scale)
static void	UnrolledInverseFromMinor_DDRM.inv5(DMatrixRMaj mat, DMatrixRMaj inv, double scale)
void	RrefGaussJordanRowPivot_DDRM.reduce(DMatrixRMaj A, int coefficientColumns)
protected static void	RrefGaussJordanRowPivot_DDRM.swapRows(DMatrixRMaj A, int rowA, int rowB)

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

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

Modifier and Type	Method	Description
static void	VectorVectorMult_DDRM.rank1Update(double gamma, DMatrixRMaj A, DMatrixRMaj u, DMatrixRMaj w)	Performs a rank one update on matrix A using vectors u and w.
static void	VectorVectorMult_DDRM.rank1Update(double gamma, DMatrixRMaj A, DMatrixRMaj u, DMatrixRMaj w, DMatrixRMaj B)	Performs a rank one update on matrix A using vectors u and w.

Uses of DMatrixRMaj in org.ejml.equation

Fields in org.ejml.equation declared as DMatrixRMaj

Modifier and Type	Field	Description
DMatrixRMaj	VariableMatrix.matrix

Methods in org.ejml.equation that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	Equation.lookupDDRM(String token)

Methods in org.ejml.equation with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	Equation.alias(DMatrixRMaj variable, String name)	Adds a new Matrix variable.
protected void	MatrixConstructor.setToRequiredSize(DMatrixRMaj matrix)

Constructors in org.ejml.equation with parameters of type DMatrixRMaj

Modifier	Constructor	Description
	VariableMatrix(DMatrixRMaj matrix)	Initializes the matrix variable.

Uses of DMatrixRMaj in org.ejml.ops

Methods in org.ejml.ops that return DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	DConvertArrays.convert(double[][] src, @Nullable DMatrixRMaj dst)
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix2 input, @Nullable DMatrixRMaj output)	Converts DMatrix2 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix2x2 input, @Nullable DMatrixRMaj output)	Converts DMatrix2x2 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix3 input, @Nullable DMatrixRMaj output)	Converts DMatrix3 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix3x3 input, @Nullable DMatrixRMaj output)	Converts DMatrix3x3 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix4 input, @Nullable DMatrixRMaj output)	Converts DMatrix4 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix4x4 input, @Nullable DMatrixRMaj output)	Converts DMatrix4x4 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix5 input, @Nullable DMatrixRMaj output)	Converts DMatrix5 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix5x5 input, @Nullable DMatrixRMaj output)	Converts DMatrix5x5 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix6 input, @Nullable DMatrixRMaj output)	Converts DMatrix6 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix6x6 input, @Nullable DMatrixRMaj output)	Converts DMatrix6x6 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrixRBlock src, @Nullable DMatrixRMaj dst)	Converts DMatrixRBlock into DMatrixRMaj
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrixSparseCSC src, @Nullable DMatrixRMaj dst)
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrixSparseTriplet src, @Nullable DMatrixRMaj dst)
static DMatrixRMaj	MatrixIO.loadCSV(String fileName, int numRows, int numCols)	Reads a matrix in which has been encoded using a Column Space Value (CSV) file format.
static DMatrixRMaj	MatrixIO.loadMatrixMarketDDRM(Reader reader)	Reads a stream in Matrix Market Coordinate format
static DMatrixRMaj	MatrixIO.matlabToDDRM(String text)	Converts a text string in matlab format into a DDRM matrix
DMatrixRMaj	ReadMatrixCsv.readDDRM(int numRows, int numCols)	Reads in a DMatrixRMaj from the IO stream where the user specifies the matrix dimensions.

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

Modifier and Type	Method	Description
static void	ConvertMatrixData.convert(DMatrixRMaj src, CMatrixRMaj dst)
static void	ConvertMatrixData.convert(DMatrixRMaj src, FMatrixRMaj dst)
static void	ConvertMatrixData.convert(DMatrixRMaj src, ZMatrixRMaj dst)
static void	ConvertMatrixData.convert(FMatrixRMaj src, DMatrixRMaj dst)
static DMatrixRMaj	DConvertArrays.convert(double[][] src, @Nullable DMatrixRMaj dst)
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix2 input, @Nullable DMatrixRMaj output)	Converts DMatrix2 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix2x2 input, @Nullable DMatrixRMaj output)	Converts DMatrix2x2 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix3 input, @Nullable DMatrixRMaj output)	Converts DMatrix3 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix3x3 input, @Nullable DMatrixRMaj output)	Converts DMatrix3x3 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix4 input, @Nullable DMatrixRMaj output)	Converts DMatrix4 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix4x4 input, @Nullable DMatrixRMaj output)	Converts DMatrix4x4 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix5 input, @Nullable DMatrixRMaj output)	Converts DMatrix5 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix5x5 input, @Nullable DMatrixRMaj output)	Converts DMatrix5x5 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix6 input, @Nullable DMatrixRMaj output)	Converts DMatrix6 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrix6x6 input, @Nullable DMatrixRMaj output)	Converts DMatrix6x6 into DMatrixRMaj.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrixRBlock src, @Nullable DMatrixRMaj dst)	Converts DMatrixRBlock into DMatrixRMaj
static DMatrix2	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix2 output)	Converts DMatrixRMaj into DMatrix2
static DMatrix2x2	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix2x2 output)	Converts DMatrixRMaj into DMatrix2x2
static DMatrix3	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix3 output)	Converts DMatrixRMaj into DMatrix3
static DMatrix3x3	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix3x3 output)	Converts DMatrixRMaj into DMatrix3x3
static DMatrix4	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix4 output)	Converts DMatrixRMaj into DMatrix4
static DMatrix4x4	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix4x4 output)	Converts DMatrixRMaj into DMatrix4x4
static DMatrix5	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix5 output)	Converts DMatrixRMaj into DMatrix5
static DMatrix5x5	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix5x5 output)	Converts DMatrixRMaj into DMatrix5x5
static DMatrix6	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix6 output)	Converts DMatrixRMaj into DMatrix6
static DMatrix6x6	DConvertMatrixStruct.convert(DMatrixRMaj input, @Nullable DMatrix6x6 output)	Converts DMatrixRMaj into DMatrix6x6
static DMatrixSparseCSC	DConvertMatrixStruct.convert(DMatrixRMaj src, @Nullable DMatrixSparseCSC dst, double tol)	Converts DMatrixRMaj into a DMatrixSparseCSC
static DMatrixSparseTriplet	DConvertMatrixStruct.convert(DMatrixRMaj src, @Nullable DMatrixSparseTriplet dst, double tol)
static void	DConvertMatrixStruct.convert(DMatrixRMaj src, DMatrixRBlock dst)	Converts DMatrixRMaj into DMatrixRBlock Can't handle null output matrix since block size needs to be specified.
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrixSparseCSC src, @Nullable DMatrixRMaj dst)
static DMatrixRMaj	DConvertMatrixStruct.convert(DMatrixSparseTriplet src, @Nullable DMatrixRMaj dst)
static void	MatrixIO.saveMatrixMarket(DMatrixRMaj matrix, String floatFormat, Writer writer)	Writes a stream using the Matrix Market Coordinate format.

Uses of DMatrixRMaj in org.ejml.simple

Methods in org.ejml.simple that return DMatrixRMaj

Modifier and Type	Method	Description
DMatrixRMaj	SimpleBase.getDDRM()

Uses of DMatrixRMaj in org.ejml.simple.ops

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

Modifier and Type	Method	Description
DMatrixRMaj	SimpleOperations_DDRM.diag(DMatrixRMaj A)

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

Modifier and Type	Method	Description
void	SimpleOperations_DDRM.changeSign(DMatrixRMaj a)
double	SimpleOperations_DDRM.conditionP2(DMatrixRMaj A)
double	SimpleOperations_DDRM.determinant(DMatrixRMaj A)
DMatrixRMaj	SimpleOperations_DDRM.diag(DMatrixRMaj A)
void	SimpleOperations_DDRM.divide(DMatrixRMaj A, double val, DMatrixRMaj output)
double	SimpleOperations_DDRM.dot(DMatrixRMaj A, DMatrixRMaj v)
void	SimpleOperations_DDRM.elementDiv(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DDRM.elementExp(DMatrixRMaj A, DMatrixRMaj output)
void	SimpleOperations_DDRM.elementLog(DMatrixRMaj A, DMatrixRMaj output)
double	SimpleOperations_DDRM.elementMax(DMatrixRMaj A)
double	SimpleOperations_DDRM.elementMaxAbs(DMatrixRMaj A)
double	SimpleOperations_DDRM.elementMin(DMatrixRMaj A)
double	SimpleOperations_DDRM.elementMinAbs(DMatrixRMaj A)
void	SimpleOperations_DDRM.elementMult(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DDRM.elementOp(DMatrixRMaj A, SimpleOperations.ElementOpComplex op, DMatrixRMaj output)
void	SimpleOperations_DDRM.elementOp(DMatrixRMaj A, SimpleOperations.ElementOpReal op, DMatrixRMaj output)
void	SimpleOperations_DDRM.elementPower(DMatrixRMaj A, double b, DMatrixRMaj output)
void	SimpleOperations_DDRM.elementPower(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
double	SimpleOperations_DDRM.elementSum(DMatrixRMaj A)
void	SimpleOperations_DDRM.extract(DMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1, DMatrixRMaj dst, int dstY0, int dstX0)
void	SimpleOperations_DSCC.extractDiag(DMatrixSparseCSC input, DMatrixRMaj output)
void	SimpleOperations_DDRM.fill(DMatrixRMaj A, double value)
double	SimpleOperations_DDRM.get(DMatrixRMaj A, int row, int column)
void	SimpleOperations_DDRM.get(DMatrixRMaj A, int row, int column, Complex_F64 value)
double[]	SimpleOperations_DDRM.getColumn(DMatrixRMaj A, int col, int row0, int row1)
double	SimpleOperations_DDRM.getImaginary(DMatrixRMaj A, int row, int column)
double	SimpleOperations_DDRM.getReal(DMatrixRMaj A, int row, int column)
double[]	SimpleOperations_DDRM.getRow(DMatrixRMaj A, int row, int idx0, int idx1)
boolean	SimpleOperations_DDRM.hasUncountable(DMatrixRMaj M)
boolean	SimpleOperations_DDRM.invert(DMatrixRMaj A, DMatrixRMaj output)
boolean	SimpleOperations_DDRM.isIdentical(DMatrixRMaj A, DMatrixRMaj B, double tol)
void	SimpleOperations_DDRM.kron(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DDRM.minus(DMatrixRMaj A, double b, DMatrixRMaj output)
void	SimpleOperations_DDRM.minus(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DDRM.mult(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DDRM.multTransA(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output)
double	SimpleOperations_DDRM.normF(DMatrixRMaj A)
void	SimpleOperations_DDRM.plus(double alpha, DMatrixRMaj A, double beta, DMatrixRMaj b, DMatrixRMaj output)
void	SimpleOperations_DDRM.plus(DMatrixRMaj A, double b, DMatrixRMaj output)
void	SimpleOperations_DDRM.plus(DMatrixRMaj A, double beta, DMatrixRMaj b, DMatrixRMaj output)
void	SimpleOperations_DDRM.plus(DMatrixRMaj A, DMatrixRMaj B, DMatrixRMaj output)
void	SimpleOperations_DDRM.pseudoInverse(DMatrixRMaj A, DMatrixRMaj output)
void	SimpleOperations_DDRM.scale(DMatrixRMaj A, double val, DMatrixRMaj output)
void	SimpleOperations_DDRM.set(DMatrixRMaj A, int row, int column, double value)
void	SimpleOperations_DDRM.set(DMatrixRMaj A, int row, int column, double real, double imaginary)
void	SimpleOperations_DDRM.setColumn(DMatrixRMaj A, int column, int startRow, double... values)
void	SimpleOperations_DDRM.setIdentity(DMatrixRMaj A)
void	SimpleOperations_DDRM.setRow(DMatrixRMaj A, int row, int startColumn, double... values)
boolean	SimpleOperations_DDRM.solve(DMatrixRMaj A, DMatrixRMaj X, DMatrixRMaj B)
boolean	SimpleOperations_DSCC.solve(DMatrixSparseCSC A, DMatrixRMaj X, DMatrixRMaj B)
double	SimpleOperations_DDRM.trace(DMatrixRMaj A)
void	SimpleOperations_DDRM.transpose(DMatrixRMaj input, DMatrixRMaj output)
void	SimpleOperations_DDRM.zero(DMatrixRMaj A)

Uses of DMatrixRMaj in org.ejml.sparse.csc

Methods in org.ejml.sparse.csc that return DMatrixRMaj

Modifier and Type	Method	Description
static DMatrixRMaj	CommonOps_DSCC.maxCols(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the maximums of each column in the input matrix and returns the results in a vector: bj = max(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DSCC.maxRows(DMatrixSparseCSC input, @Nullable DMatrixRMaj output, @Nullable IGrowArray gw)	Computes the maximum of each row in the input matrix and returns the results in a vector: bj = max(i=1:n ; aji)
static DMatrixRMaj	CommonOps_DSCC.minCols(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the minimum of each column in the input matrix and returns the results in a vector: bj = min(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DSCC.minRows(DMatrixSparseCSC input, @Nullable DMatrixRMaj output, @Nullable IGrowArray gw)	Computes the minimum of each row in the input matrix and returns the results in a vector: bj = min(i=1:n ; aji)
static DMatrixRMaj	CommonOps_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable DGrowArray work)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable DGrowArray work)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.reduceColumnWise(DMatrixSparseCSC input, double initValue, DOperatorBinary func, @Nullable DMatrixRMaj output, @Nullable Mask mask)	This accumulates the values per column to a scalar value
static DMatrixRMaj	CommonOps_DSCC.reduceRowWise(DMatrixSparseCSC input, double initValue, DOperatorBinary func, @Nullable DMatrixRMaj output)	This accumulates the values per row to a scalar value
static DMatrixRMaj	CommonOps_DSCC.sumCols(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the sum of each column in the input matrix and returns the results in a vector: bj = sum(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DSCC.sumRows(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the sum of each row in the input matrix and returns the results in a vector: bj = sum(i=1:n ; aji)

Methods in org.ejml.sparse.csc with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
static void	CommonOps_DSCC.extractDiag(DMatrixSparseCSC A, DMatrixRMaj outputB)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static boolean	CommonOps_DSCC.invert(DMatrixSparseCSC A, DMatrixRMaj inverse)	Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
static void	CommonOps_DSCC.maxAbsCols(DMatrixSparseCSC A, @Nullable DMatrixRMaj outputB)	Finds the maximum abs in each column of A and stores it into values
static DMatrixRMaj	CommonOps_DSCC.maxCols(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the maximums of each column in the input matrix and returns the results in a vector: bj = max(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DSCC.maxRows(DMatrixSparseCSC input, @Nullable DMatrixRMaj output, @Nullable IGrowArray gw)	Computes the maximum of each row in the input matrix and returns the results in a vector: bj = max(i=1:n ; aji)
static DMatrixRMaj	CommonOps_DSCC.minCols(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the minimum of each column in the input matrix and returns the results in a vector: bj = min(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DSCC.minRows(DMatrixSparseCSC input, @Nullable DMatrixRMaj output, @Nullable IGrowArray gw)	Computes the minimum of each row in the input matrix and returns the results in a vector: bj = min(i=1:n ; aji)
static DMatrixRMaj	CommonOps_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static void	CommonOps_DSCC.multAdd(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	C = C + A*B
static void	CommonOps_MT_DSCC.multAdd(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	C = C + AT*B
static void	CommonOpsWithSemiRing_DSCC.multAdd(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output, DSemiRing semiRing)	output = output + A*B
static void	CommonOps_DSCC.multAddTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC, @Nullable DGrowArray work)	C = C + AT*B
static void	CommonOps_MT_DSCC.multAddTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	C = C + AT*B
static void	CommonOpsWithSemiRing_DSCC.multAddTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output, DSemiRing semiRing)	output = output + AT*B
static void	CommonOps_DSCC.multAddTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	C = C + AT*BT
static void	CommonOps_MT_DSCC.multAddTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	C = C + AT*BT
static void	CommonOpsWithSemiRing_DSCC.multAddTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)	C = C + AT*BT
static void	CommonOps_DSCC.multAddTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC, @Nullable DGrowArray work)	C = C + A*BT
static void	CommonOps_MT_DSCC.multAddTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	C = C + A*BT
static void	CommonOpsWithSemiRing_DSCC.multAddTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output, DSemiRing semiRing)	output = output + A*BT
static DMatrixRMaj	CommonOps_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable DGrowArray work)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj outputC)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable DGrowArray work)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_MT_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj outputC, @Nullable GrowArray<DGrowArray> workspace)	Performs matrix multiplication.
static DMatrixRMaj	CommonOpsWithSemiRing_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, @Nullable DMatrixRMaj output, DSemiRing semiRing)	Performs matrix multiplication.
static DMatrixRMaj	CommonOps_DSCC.reduceColumnWise(DMatrixSparseCSC input, double initValue, DOperatorBinary func, @Nullable DMatrixRMaj output, @Nullable Mask mask)	This accumulates the values per column to a scalar value
static DMatrixRMaj	CommonOps_DSCC.reduceRowWise(DMatrixSparseCSC input, double initValue, DOperatorBinary func, @Nullable DMatrixRMaj output)	This accumulates the values per row to a scalar value
static boolean	CommonOps_DSCC.solve(DMatrixSparseCSC a, DMatrixRMaj b, DMatrixRMaj x)	Solves for x in the following equation: A*x = b
static DMatrixRMaj	CommonOps_DSCC.sumCols(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the sum of each column in the input matrix and returns the results in a vector: bj = sum(i=1:m ; aij)
static DMatrixRMaj	CommonOps_DSCC.sumRows(DMatrixSparseCSC input, @Nullable DMatrixRMaj output)	Computes the sum of each row in the input matrix and returns the results in a vector: bj = sum(i=1:n ; aji)

Uses of DMatrixRMaj in org.ejml.sparse.csc.factory

Methods in org.ejml.sparse.csc.factory that return types with arguments of type DMatrixRMaj

Modifier and Type	Method	Description
static LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj>	LinearSolverFactory_DSCC.cholesky(FillReducing permutation)
static LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj>	LinearSolverFactory_DSCC.lu(FillReducing permutation)
static LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj>	LinearSolverFactory_DSCC.qr(FillReducing permutation)

Uses of DMatrixRMaj in org.ejml.sparse.csc.linsol.chol

Methods in org.ejml.sparse.csc.linsol.chol with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	LinearSolverCholesky_DSCC.solve(DMatrixRMaj B, DMatrixRMaj X)

Uses of DMatrixRMaj in org.ejml.sparse.csc.linsol.lu

Methods in org.ejml.sparse.csc.linsol.lu with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	LinearSolverLu_DSCC.solve(DMatrixRMaj B, DMatrixRMaj X)

Uses of DMatrixRMaj in org.ejml.sparse.csc.linsol.qr

Methods in org.ejml.sparse.csc.linsol.qr with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
void	LinearSolverQrLeftLooking_DSCC.solve(DMatrixRMaj B, DMatrixRMaj X)

Uses of DMatrixRMaj in org.ejml.sparse.csc.mult

Methods in org.ejml.sparse.csc.mult with parameters of type DMatrixRMaj

Modifier and Type	Method	Description
static double	MatrixVectorMult_DSCC.innerProduct(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixSparseCSC C)	scalar = AT*B*C
static double	MatrixVectorMult_DSCC.innerProductSelfSymmetrical(DMatrixSparseCSC A, DMatrixRMaj B)	scalar = AT*B*A
static void	ImplMultiplication_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, boolean add, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplication_MT_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.mult(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multAdd(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multAdd(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multAdd(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multAddTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DGrowArray workArray)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multAddTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multAddTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multAddTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multAddTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multAddTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multAddTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DGrowArray workArray)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multAddTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multAddTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DGrowArray workArray)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DGrowArray workArray, DOperatorBinary op)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multTransA(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multTransAB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)
static void	ImplMultiplication_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DGrowArray workArray)	Invoke through CommonOps_DSCC
static void	ImplMultiplication_MT_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, boolean add, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplication_MT_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, GrowArray<DGrowArray> listWork)	Invoke through CommonOps_MT_DSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_DSCC.multTransB(DMatrixSparseCSC A, DMatrixRMaj B, DMatrixRMaj C, DSemiRing semiRing)