Uses of Class
org.ejml.data.FMatrixRMaj

Packages that use FMatrixRMaj

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 FMatrixRMaj in org.ejml

Methods in org.ejml that return FMatrixRMaj

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

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

Uses of FMatrixRMaj in org.ejml.data

Fields in org.ejml.data declared as FMatrixRMaj

Modifier and Type	Field	Description
FMatrixRMaj	FEigenpair.vector

Methods in org.ejml.data that return FMatrixRMaj

Modifier and Type	Method	Description
FMatrixRMaj	FMatrixRMaj.copy()	Creates and returns a matrix which is identical to this one.
FMatrixRMaj	FMatrixRMaj.create(int numRows, int numCols)
FMatrixRMaj	FMatrixRMaj.createLike()
FMatrixRMaj	FSubmatrixD1.extract()
static FMatrixRMaj	FMatrixRMaj.wrap(int numRows, int numCols, float[] data)	Creates a new FMatrixRMaj around the provided data.

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

Modifier	Constructor	Description
	FEigenpair(float value, FMatrixRMaj vector)
	FMatrixRMaj(FMatrixRMaj orig)	Creates a new matrix which is equivalent to the provided matrix.

Uses of FMatrixRMaj in org.ejml.dense.block

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

Modifier and Type	Method	Description
static FMatrixRMaj	MatrixOps_FDRB.convert(FMatrixRBlock src, FMatrixRMaj dst)	Converts a row major block matrix into a row major matrix.
static FMatrixRMaj	MatrixOps_FDRB.convertInplace(FMatrixRBlock src, @Nullable FMatrixRMaj dst, @Nullable FGrowArray workspace)	Converts a row major block matrix into a row major matrix.

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

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

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

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

Modifier and Type	Field	Description
protected FMatrixRMaj	TridiagonalDecompositionHouseholder_FDRB.zerosM
protected FMatrixRMaj	TridiagonalDecompositionHouseholder_MT_FDRB.zerosM

Uses of FMatrixRMaj in org.ejml.dense.row

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

Modifier and Type	Method	Description
static FMatrixRMaj	CommonOps_FDRM.apply(FMatrixRMaj input, FOperatorUnary func)
static FMatrixRMaj	CommonOps_FDRM.apply(FMatrixRMaj input, FOperatorUnary func, @Nullable FMatrixRMaj output)	This applies a given unary function on every value stored in the matrix
static FMatrixRMaj[]	CommonOps_FDRM.columnsToVector(FMatrixRMaj A, @Nullable FMatrixRMaj[] v)	Converts the columns in a matrix into a set of vectors.
static FMatrixRMaj	CommonOps_FDRM.concatColumns(FMatrixRMaj a, FMatrixRMaj b, @Nullable FMatrixRMaj output)	output = [a , b]
static FMatrixRMaj	CommonOps_FDRM.concatColumnsMulti(FMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static FMatrixRMaj	CommonOps_FDRM.concatRowsMulti(FMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static FMatrixRMaj	SpecializedOps_FDRM.copyChangeRow(int[] order, FMatrixRMaj src, @Nullable FMatrixRMaj dst)	Creates a copy of a matrix but swaps the rows as specified by the order array.
static FMatrixRMaj	SpecializedOps_FDRM.copyTriangle(FMatrixRMaj src, @Nullable FMatrixRMaj dst, boolean upper)	Copies just the upper or lower triangular portion of a matrix.
static FMatrixRMaj	EigenOps_FDRM.createMatrixD(EigenDecomposition_F32<?> eig)	A diagonal matrix where real diagonal element contains a real eigenvalue.
static FMatrixRMaj	EigenOps_FDRM.createMatrixV(EigenDecomposition_F32<FMatrixRMaj> eig)	Puts all the real eigenvectors into the columns of a matrix.
static FMatrixRMaj	SpecializedOps_FDRM.createReflector(FMatrix1Row u)	Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static FMatrixRMaj	SpecializedOps_FDRM.createReflector(FMatrixRMaj u, float gamma)	Creates a reflector from the provided vector and gamma. Q = I - γ u uT
static FMatrixRMaj	CommonOps_FDRM.diag(float... 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 FMatrixRMaj	CommonOps_FDRM.diag(@Nullable FMatrixRMaj ret, int width, float... diagEl)
static FMatrixRMaj	RandomMatrices_FDRM.diagonal(int N, float min, float 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 FMatrixRMaj	RandomMatrices_FDRM.diagonal(int numRows, int numCols, float min, float max, Random rand)	Creates a random matrix where all elements are zero but diagonal elements.
static FMatrixRMaj	CommonOps_FDRM.diagR(int numRows, int numCols, float... 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 FMatrixRMaj	CommonOps_FDRM.elements(FMatrixRMaj A, BMatrixRMaj marked, @Nullable FMatrixRMaj output)	Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'
static FMatrixRMaj	CommonOps_FDRM.extract(FMatrixRMaj src, int[] rows, int rowsSize, int[] cols, int colsSize, @Nullable FMatrixRMaj dst)	Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists
static FMatrixRMaj	CommonOps_FDRM.extract(FMatrixRMaj src, int[] indexes, int length, @Nullable FMatrixRMaj dst)	Extracts the elements from the source matrix by their 1D index.
static FMatrixRMaj	CommonOps_FDRM.extract(FMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)	Creates a new matrix which is the specified submatrix of 'src'
static FMatrixRMaj	CommonOps_FDRM.extractColumn(FMatrixRMaj a, int column, @Nullable FMatrixRMaj out)	Extracts the column from a matrix.
static FMatrixRMaj	CommonOps_FDRM.extractDiag(FMatrixRMaj src, @Nullable FMatrixRMaj dst)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static FMatrixRMaj	CommonOps_FDRM.extractRow(FMatrixRMaj a, int row, @Nullable FMatrixRMaj out)	Extracts the row from a matrix.
static FMatrixRMaj	CommonOps_FDRM.identity(int width)	Creates an identity matrix of the specified size. aij = 0 if i ≠ j aij = 1 if i = j
static FMatrixRMaj	CommonOps_FDRM.identity(int numRows, int numCols)	Creates a rectangular matrix which is zero except along the diagonals.
static FMatrixRMaj	CommonOps_CDRM.imaginary(CMatrixD1 input, @Nullable FMatrixRMaj output)	Places the imaginary component of the input matrix into the output matrix.
static FMatrixRMaj	RandomMatrices_FDRM.insideSpan(FMatrixRMaj[] span, float min, float max, Random rand)	Creates a random vector that is inside the specified span.
static FMatrixRMaj	CommonOps_FDRM.kron(FMatrixRMaj A, FMatrixRMaj B, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_CDRM.magnitude(CMatrixD1 input, @Nullable FMatrixRMaj output)	Computes the magnitude of the complex number in the input matrix and stores the results in the output matrix.
static FMatrixRMaj	CommonOps_FDRM.maxCols(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.maxRows(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.minCols(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.minRows(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	SingularOps_FDRM.nullSpace(SingularValueDecomposition_F32<FMatrixRMaj> svd, @Nullable FMatrixRMaj nullSpace, float tol)	Returns the null-space from the singular value decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullspaceQR(FMatrixRMaj A, int totalSingular)	Computes the null space using QR decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullspaceQRP(FMatrixRMaj A, int totalSingular)	Computes the null space using QRP decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullspaceSVD(FMatrixRMaj A, int totalSingular)	Computes the null space using SVD.
static FMatrixRMaj	SingularOps_FDRM.nullVector(SingularValueDecomposition_F32<FMatrixRMaj> svd, boolean isRight, @Nullable FMatrixRMaj nullVector)	The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static FMatrixRMaj	RandomMatrices_FDRM.orthogonal(int numRows, int numCols, Random rand)	Creates a random orthogonal or isometric matrix, depending on the number of rows and columns.
static FMatrixRMaj	CommonOps_FDRM.permuteRowInv(int[] pinv, FMatrixRMaj input, FMatrixRMaj output)	Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.
static FMatrixRMaj	SpecializedOps_FDRM.pivotMatrix(@Nullable FMatrixRMaj ret, int[] pivots, int numPivots, boolean transposed)	Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static FMatrixRMaj	CommonOps_CDRM.real(CMatrixD1 input, @Nullable FMatrixRMaj output)	Places the real component of the input matrix into the output matrix.
static FMatrixRMaj	RandomMatrices_FDRM.rectangle(int numRow, int numCol, float min, float max, Random rand)	Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.
static FMatrixRMaj	RandomMatrices_FDRM.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 FMatrixRMaj	RandomMatrices_FDRM.rectangleGaussian(int numRow, int numCol, float mean, float 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 FMatrixRMaj[]	CommonOps_FDRM.rowsToVector(FMatrixRMaj A, @Nullable FMatrixRMaj[] v)	Converts the rows in a matrix into a set of vectors.
static FMatrixRMaj	CommonOps_FDRM.rref(FMatrixRMaj A, int numUnknowns, @Nullable FMatrixRMaj reduced)	Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.
static FMatrixRMaj	RandomMatrices_FDRM.singular(int numRows, int numCols, Random rand, float... sv)	Creates a random matrix which will have the provided singular values.
static FMatrixRMaj[]	RandomMatrices_FDRM.span(int dimen, int numVectors, Random rand)	Creates a randomly generated set of orthonormal vectors.
static FMatrixRMaj[]	SpecializedOps_FDRM.splitIntoVectors(FMatrix1Row A, boolean column)	Takes a matrix and splits it into a set of row or column vectors.
static FMatrixRMaj	CommonOps_FDRM.sumCols(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.sumRows(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	RandomMatrices_FDRM.symmetric(int length, float min, float max, Random rand)	Creates a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
static FMatrixRMaj	RandomMatrices_FDRM.symmetricPosDef(int width, Random rand)	Creates a random symmetric positive definite matrix.
static FMatrixRMaj	RandomMatrices_FDRM.symmetricWithEigenvalues(int num, Random rand, float... eigenvalues)	Creates a new random symmetric matrix that will have the specified real eigenvalues.
static FMatrixRMaj	CommonOps_FDRM.transpose(FMatrixRMaj A, @Nullable FMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.
static FMatrixRMaj	CommonOps_MT_FDRM.transpose(FMatrixRMaj A, @Nullable FMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.
static FMatrixRMaj	RandomMatrices_FDRM.triangularLower(int dimen, int hessenberg, float min, float max, Random rand)	Creates a lower triangular matrix whose values are selected from a uniform distribution.
static FMatrixRMaj	RandomMatrices_FDRM.triangularUpper(int dimen, int hessenberg, float min, float 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 FMatrixRMaj

Modifier and Type	Method	Description
static void	RandomMatrices_FDRM.addUniform(FMatrixRMaj A, float min, float max, Random rand)	Adds random values to each element in the matrix from an uniform distribution. aij = aij + U(min,max)
static FMatrixRMaj	CommonOps_FDRM.apply(FMatrixRMaj input, FOperatorUnary func)
static FMatrixRMaj	CommonOps_FDRM.apply(FMatrixRMaj input, FOperatorUnary func, @Nullable FMatrixRMaj output)	This applies a given unary function on every value stored in the matrix
static float[]	EigenOps_FDRM.boundLargestEigenValue(FMatrixRMaj A, @org.jetbrains.annotations.Nullable float[] bound)	Generates a bound for the largest eigen value of the provided matrix using Perron-Frobenius theorem.
static void	SingularOps_FDRM.checkSvdMatrixSize(@Nullable FMatrixRMaj U, boolean tranU, FMatrixRMaj W, @Nullable FMatrixRMaj V, boolean tranV)	Checks to see if all the provided matrices are the expected size for an SVD.
static FMatrixRMaj[]	CommonOps_FDRM.columnsToVector(FMatrixRMaj A, @Nullable FMatrixRMaj[] v)	Converts the columns in a matrix into a set of vectors.
static float	EigenOps_FDRM.computeEigenValue(FMatrixRMaj A, FMatrixRMaj eigenVector)	Given matrix A and an eigen vector of A, compute the corresponding eigen value.
static @Nullable FEigenpair	EigenOps_FDRM.computeEigenVector(FMatrixRMaj A, float 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 FMatrixRMaj	CommonOps_FDRM.concatColumns(FMatrixRMaj a, FMatrixRMaj b, @Nullable FMatrixRMaj output)	output = [a , b]
static FMatrixRMaj	CommonOps_FDRM.concatColumnsMulti(FMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static void	CommonOps_FDRM.concatRows(FMatrixRMaj a, FMatrixRMaj b, FMatrixRMaj output)	output = [a ; b]
static FMatrixRMaj	CommonOps_FDRM.concatRowsMulti(FMatrixRMaj... m)	Concatenates all the matrices together along their columns.
static float	NormOps_FDRM.conditionP(FMatrixRMaj A, float p)	The condition number of a matrix is used to measure the sensitivity of the linear system Ax=b.
static float	NormOps_FDRM.conditionP2(FMatrixRMaj A)	The condition p = 2 number of a matrix is used to measure the sensitivity of the linear system Ax=b.
static FMatrixRMaj	SpecializedOps_FDRM.copyChangeRow(int[] order, FMatrixRMaj src, @Nullable FMatrixRMaj dst)	Creates a copy of a matrix but swaps the rows as specified by the order array.
static FMatrixRMaj	SpecializedOps_FDRM.copyTriangle(FMatrixRMaj src, @Nullable FMatrixRMaj dst, boolean upper)	Copies just the upper or lower triangular portion of a matrix.
static int	MatrixFeatures_FDRM.countNonZero(FMatrixRMaj A)	Counts the number of elements in A which are not zero.
static FMatrixRMaj	SpecializedOps_FDRM.createReflector(FMatrixRMaj u, float gamma)	Creates a reflector from the provided vector and gamma. Q = I - γ u uT
static void	SingularOps_FDRM.descendingOrder(@Nullable FMatrixRMaj U, boolean tranU, float[] singularValues, int singularLength, @Nullable FMatrixRMaj V, boolean tranV)	Similar to SingularOps_FDRM.descendingOrder(FMatrixRMaj, boolean, FMatrixRMaj, FMatrixRMaj, boolean) but takes in an array of singular values instead.
static void	SingularOps_FDRM.descendingOrder(FMatrixRMaj U, boolean tranU, FMatrixRMaj W, FMatrixRMaj V, boolean tranV)	Adjusts the matrices so that the singular values are in descending order.
static float	CommonOps_FDRM.det(FMatrixRMaj mat)	Returns the determinant of the matrix.
static FMatrixRMaj	CommonOps_FDRM.diag(@Nullable FMatrixRMaj ret, int width, float... diagEl)
static void	CommonOps_FDRM.divideCols(FMatrixRMaj A, float[] values)	Divides every element in column i by value[i].
static void	CommonOps_FDRM.divideRows(float[] values, FMatrixRMaj A)	Divides every element in row i by value[i].
static void	CommonOps_FDRM.divideRowsCols(float[] diagA, int offsetA, FMatrixRMaj B, float[] diagC, int offsetC)	Equivalent to multiplying a matrix B by the inverse of two diagonal matrices.
static @Nullable FEigenpair	EigenOps_FDRM.dominantEigenpair(FMatrixRMaj A)	Computes the dominant eigen vector for a matrix.
static BMatrixRMaj	CommonOps_FDRM.elementBoolean(FMatrixRMaj input, DElementCoorBoolean func, @Nullable BMatrixRMaj output)	Applies a binary operator to even element in the input matrix.
static BMatrixRMaj	CommonOps_FDRM.elementLessThan(FMatrixRMaj A, float value, @Nullable BMatrixRMaj output)	Applies the > operator to each element in A.
static BMatrixRMaj	CommonOps_FDRM.elementLessThan(FMatrixRMaj A, FMatrixRMaj B, @Nullable BMatrixRMaj output)	Applies the < operator to each element in A.
static BMatrixRMaj	CommonOps_FDRM.elementLessThanOrEqual(FMatrixRMaj A, float value, @Nullable BMatrixRMaj output)	Applies the ≥ operator to each element in A.
static BMatrixRMaj	CommonOps_FDRM.elementLessThanOrEqual(FMatrixRMaj A, FMatrixRMaj B, @Nullable BMatrixRMaj output)	Applies the A ≤ B operator to each element.
static BMatrixRMaj	CommonOps_FDRM.elementMoreThan(FMatrixRMaj A, float value, @Nullable BMatrixRMaj output)	Applies the > operator to each element in A.
static BMatrixRMaj	CommonOps_FDRM.elementMoreThanOrEqual(FMatrixRMaj A, float value, @Nullable BMatrixRMaj output)	Applies the ≥ operator to each element in A.
static FMatrixRMaj	CommonOps_FDRM.elements(FMatrixRMaj A, BMatrixRMaj marked, @Nullable FMatrixRMaj output)	Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'
static FMatrixRMaj	CommonOps_FDRM.extract(FMatrixRMaj src, int[] rows, int rowsSize, int[] cols, int colsSize, @Nullable FMatrixRMaj dst)	Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists
static FMatrixRMaj	CommonOps_FDRM.extract(FMatrixRMaj src, int[] indexes, int length, @Nullable FMatrixRMaj dst)	Extracts the elements from the source matrix by their 1D index.
static FMatrixRMaj	CommonOps_FDRM.extract(FMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)	Creates a new matrix which is the specified submatrix of 'src'
static FMatrixRMaj	CommonOps_FDRM.extractColumn(FMatrixRMaj a, int column, @Nullable FMatrixRMaj out)	Extracts the column from a matrix.
static FMatrixRMaj	CommonOps_FDRM.extractDiag(FMatrixRMaj src, @Nullable FMatrixRMaj dst)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static FMatrixRMaj	CommonOps_FDRM.extractRow(FMatrixRMaj a, int row, @Nullable FMatrixRMaj out)	Extracts the row from a matrix.
static float	NormOps_FDRM.fastNormP(FMatrixRMaj A, float p)	An unsafe but faster version of NormOps_FDRM.normP(org.ejml.data.FMatrixRMaj, float) that calls routines which are faster but more prone to overflow/underflow problems.
static float	NormOps_FDRM.fastNormP2(FMatrixRMaj A)	Computes the p=2 norm.
static void	RandomMatrices_FDRM.fillUniform(FMatrixRMaj mat, Random rand)	Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.
static FMatrixRMaj	CommonOps_CDRM.imaginary(CMatrixD1 input, @Nullable FMatrixRMaj output)	Places the imaginary component of the input matrix into the output matrix.
static float	NormOps_FDRM.inducedP1(FMatrixRMaj A)	Computes the induced p = 1 matrix norm. ||A||1= max(j=1 to n; sum(i=1 to m; |aij|))
static float	NormOps_FDRM.inducedP2(FMatrixRMaj A)	Computes the induced p = 2 matrix norm, which is the largest singular value.
static float	NormOps_FDRM.inducedPInf(FMatrixRMaj A)	Induced matrix p = infinity norm. ||A||∞ = max(i=1 to m; sum(j=1 to n; |aij|))
static void	CommonOps_FDRM.insert(FMatrixRMaj src, FMatrixRMaj dst, int[] rows, int rowsSize, int[] cols, int colsSize)	Inserts into the specified elements of dst the source matrix.
static FMatrixRMaj	RandomMatrices_FDRM.insideSpan(FMatrixRMaj[] span, float min, float max, Random rand)	Creates a random vector that is inside the specified span.
static boolean	CommonOps_FDRM.invert(FMatrixRMaj mat)	Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix. a = a-1
static boolean	CommonOps_FDRM.invert(FMatrixRMaj mat, FMatrixRMaj result)	Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
static boolean	CovarianceOps_FDRM.invert(FMatrixRMaj cov)	Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
static boolean	CovarianceOps_FDRM.invert(FMatrixRMaj cov, FMatrixRMaj cov_inv)	Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
static boolean	CommonOps_FDRM.invertSPD(FMatrixRMaj mat, FMatrixRMaj result)	Matrix inverse for symmetric positive definite matrices.
static boolean	MatrixFeatures_FDRM.isConstantVal(FMatrixRMaj mat, float val, float tol)	Checks to see if every value in the matrix is the specified value.
static boolean	MatrixFeatures_FDRM.isDiagonalNotNegative(FMatrixRMaj a)	Checks to see if diagonal element are all not negative, i.e.
static boolean	MatrixFeatures_FDRM.isDiagonalPositive(FMatrixRMaj a)	Checks to see if all the diagonal elements in the matrix are positive.
static boolean	MatrixFeatures_FDRM.isIdentity(FMatrixRMaj mat, float tol)	Checks to see if the provided matrix is within tolerance to an identity matrix.
static boolean	MatrixFeatures_FDRM.isInverse(FMatrixRMaj a, FMatrixRMaj b, float tol)	Checks to see if the two matrices are inverses of each other.
static boolean	MatrixFeatures_FDRM.isLowerTriangle(FMatrixRMaj A, int hessenberg, float tol)	Checks to see if a matrix is lower triangular or Hessenberg.
static boolean	MatrixFeatures_FDRM.isOrthogonal(FMatrixRMaj Q, float tol)	Checks to see if a matrix is orthogonal or isometric.
static boolean	MatrixFeatures_FDRM.isPositiveDefinite(FMatrixRMaj A)	Checks to see if the matrix is positive definite.
static boolean	MatrixFeatures_FDRM.isPositiveSemidefinite(FMatrixRMaj A)	Checks to see if the matrix is positive semidefinite:
static boolean	MatrixFeatures_FDRM.isRowsLinearIndependent(FMatrixRMaj A)	Checks to see if the rows of the provided matrix are linearly independent.
static boolean	MatrixFeatures_FDRM.isSkewSymmetric(FMatrixRMaj A, float tol)	Checks to see if a matrix is skew symmetric with in tolerance: -A = AT or |aij + aji| ≤ tol
static boolean	MatrixFeatures_FDRM.isSymmetric(FMatrixRMaj m)	Returns true if the matrix is perfectly symmetric.
static boolean	MatrixFeatures_FDRM.isSymmetric(FMatrixRMaj m, float tol)	Returns true if the matrix is symmetric within the tolerance.
static boolean	MatrixFeatures_FDRM.isUpperTriangle(FMatrixRMaj A, int hessenberg, float tol)	Checks to see if a matrix is upper triangular or Hessenberg.
static int	CovarianceOps_FDRM.isValid(FMatrixRMaj 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_FDRM.isValidFast(FMatrixRMaj cov)	This is a fairly light weight check to see of a covariance matrix is valid.
static FMatrixRMaj	CommonOps_FDRM.kron(FMatrixRMaj A, FMatrixRMaj B, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_CDRM.magnitude(CMatrixD1 input, @Nullable FMatrixRMaj output)	Computes the magnitude of the complex number in the input matrix and stores the results in the output matrix.
static FMatrixRMaj	CommonOps_FDRM.maxCols(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.maxRows(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.minCols(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.minRows(FMatrixRMaj input, @Nullable FMatrixRMaj 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_FDRM.multCols(FMatrixRMaj A, float[] values)	Multiplies every element in column i by value[i].
static void	SpecializedOps_FDRM.multLowerTranA(FMatrixRMaj mat)	Performs L = LT*L
static void	SpecializedOps_FDRM.multLowerTranB(FMatrixRMaj mat)	Performs L = L*LT
static void	CommonOps_FDRM.multRows(float[] values, FMatrixRMaj A)	Multiplies every element in row i by value[i].
void	CovarianceRandomDraw_FDRM.next(FMatrixRMaj x)	Makes a draw on the distribution.
static void	NormOps_FDRM.normalizeF(FMatrixRMaj A)	Normalizes the matrix such that the Frobenius norm is equal to one.
static float	NormOps_FDRM.normP(FMatrixRMaj A, float p)	Computes either the vector p-norm or the induced matrix p-norm depending on A being a vector or a matrix respectively.
static float	NormOps_FDRM.normP1(FMatrixRMaj A)	Computes the p=1 norm.
static float	NormOps_FDRM.normP2(FMatrixRMaj A)	Computes the p=2 norm.
static float	NormOps_FDRM.normPInf(FMatrixRMaj A)	Computes the p=∞ norm.
static int	MatrixFeatures_FDRM.nullity(FMatrixRMaj A)	Computes the nullity of a matrix using the default tolerance.
static int	MatrixFeatures_FDRM.nullity(FMatrixRMaj A, float threshold)	Computes the nullity of a matrix using the specified tolerance.
static int	SingularOps_FDRM.nullity(FMatrixRMaj A, float threshold)	Returns the matrix's nullity
static FMatrixRMaj	SingularOps_FDRM.nullSpace(SingularValueDecomposition_F32<FMatrixRMaj> svd, @Nullable FMatrixRMaj nullSpace, float tol)	Returns the null-space from the singular value decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullspaceQR(FMatrixRMaj A, int totalSingular)	Computes the null space using QR decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullspaceQRP(FMatrixRMaj A, int totalSingular)	Computes the null space using QRP decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullspaceSVD(FMatrixRMaj A, int totalSingular)	Computes the null space using SVD.
static FMatrixRMaj	SingularOps_FDRM.nullVector(SingularValueDecomposition_F32<FMatrixRMaj> svd, boolean isRight, @Nullable FMatrixRMaj nullVector)	The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static FMatrixRMaj	CommonOps_FDRM.permuteRowInv(int[] pinv, FMatrixRMaj input, FMatrixRMaj output)	Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.
static void	CommonOps_FDRM.pinv(FMatrixRMaj A, FMatrixRMaj invA)	Computes the Moore-Penrose pseudo-inverse: pinv(A) = (ATA)-1 AT or pinv(A) = AT(AAT)-1
static FMatrixRMaj	SpecializedOps_FDRM.pivotMatrix(@Nullable FMatrixRMaj ret, int[] pivots, int numPivots, boolean transposed)	Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static void	CovarianceOps_FDRM.randomVector(FMatrixRMaj cov, FMatrixRMaj vector, Random rand)	Sets vector to a random value based upon a zero-mean multivariate Gaussian distribution with covariance 'cov'.
static int	MatrixFeatures_FDRM.rank(FMatrixRMaj A)	Computes the rank of a matrix using a default tolerance.
static int	MatrixFeatures_FDRM.rank(FMatrixRMaj A, float threshold)	Computes the rank of a matrix using the specified tolerance.
static int	SingularOps_FDRM.rank(FMatrixRMaj A)	Returns the matrix's rank.
static int	SingularOps_FDRM.rank(FMatrixRMaj A, float threshold)	Returns the matrix's rank
static FMatrixRMaj	CommonOps_CDRM.real(CMatrixD1 input, @Nullable FMatrixRMaj output)	Places the real component of the input matrix into the output matrix.
static void	CommonOps_FDRM.removeColumns(FMatrixRMaj A, int col0, int col1)	Removes columns from the matrix.
static FMatrixRMaj[]	CommonOps_FDRM.rowsToVector(FMatrixRMaj A, @Nullable FMatrixRMaj[] v)	Converts the rows in a matrix into a set of vectors.
static FMatrixRMaj	CommonOps_FDRM.rref(FMatrixRMaj A, int numUnknowns, @Nullable FMatrixRMaj reduced)	Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.
static void	CommonOps_FDRM.scaleCol(float alpha, FMatrixRMaj A, int col)	In-place scaling of a column in A
static void	CommonOps_FDRM.scaleRow(float alpha, FMatrixRMaj A, int row)	In-place scaling of a row in A
static float[]	SingularOps_FDRM.singularValues(FMatrixRMaj A)	Returns an array of all the singular values in A sorted in ascending order
static boolean	CommonOps_FDRM.solve(FMatrixRMaj a, FMatrixRMaj b, FMatrixRMaj x)	Solves for x in the following equation: A*x = b
static boolean	CommonOps_FDRM.solveSPD(FMatrixRMaj A, FMatrixRMaj b, FMatrixRMaj x)	Linear solver for systems which are symmetric positive definite. A*x = b
static FMatrixRMaj	CommonOps_FDRM.sumCols(FMatrixRMaj input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FDRM.sumRows(FMatrixRMaj input, @Nullable FMatrixRMaj 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_FDRM.svd(FMatrixRMaj A, @Nullable FMatrixRMaj U, FGrowArray sv, @Nullable FMatrixRMaj Vt)	Computes the SVD and sorts singular values in descending order.
static void	RandomMatrices_FDRM.symmetric(FMatrixRMaj A, float min, float 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_FDRM.symmLowerToFull(FMatrixRMaj A)	Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.
static void	CommonOps_FDRM.symmUpperToFull(FMatrixRMaj A)	Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.
static void	CommonOps_FDRM.transpose(FMatrixRMaj mat)	Performs an "in-place" transpose.
static FMatrixRMaj	CommonOps_FDRM.transpose(FMatrixRMaj A, @Nullable FMatrixRMaj A_tran)	Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.
static void	CommonOps_MT_FDRM.transpose(FMatrixRMaj mat)	Performs an "in-place" transpose.
static FMatrixRMaj	CommonOps_MT_FDRM.transpose(FMatrixRMaj A, @Nullable FMatrixRMaj 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 FMatrixRMaj

Modifier and Type	Method	Description
static FMatrixRMaj	EigenOps_FDRM.createMatrixV(EigenDecomposition_F32<FMatrixRMaj> eig)	Puts all the real eigenvectors into the columns of a matrix.
static FMatrixRMaj	SingularOps_FDRM.nullSpace(SingularValueDecomposition_F32<FMatrixRMaj> svd, @Nullable FMatrixRMaj nullSpace, float tol)	Returns the null-space from the singular value decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullVector(SingularValueDecomposition_F32<FMatrixRMaj> svd, boolean isRight, @Nullable FMatrixRMaj 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 FMatrixRMaj

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

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

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

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

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

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

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

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

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

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

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

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

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

Modifier and Type	Field	Description
protected FMatrixRMaj	CholeskyDecompositionCommon_FDRM.T

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

Modifier and Type	Method	Description
FMatrixRMaj	CholeskyDecompositionLDL_FDRM.getD(@Nullable FMatrixRMaj D)
FMatrixRMaj	CholeskyDecompositionLDL_FDRM.getL()	Returns L matrix from the decomposition. L*D*LT=A
FMatrixRMaj	CholeskyDecompositionLDL_FDRM.getL(@Nullable FMatrixRMaj L)
FMatrixRMaj	CholeskyDecomposition_FDRB_to_FDRM.getT(@Nullable FMatrixRMaj T)
FMatrixRMaj	CholeskyDecompositionCommon_FDRM.getT()	Returns the triangular matrix from the decomposition.
FMatrixRMaj	CholeskyDecompositionCommon_FDRM.getT(@Nullable FMatrixRMaj T)

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

Modifier and Type	Method	Description
boolean	CholeskyDecompositionCommon_FDRM.decompose(FMatrixRMaj mat)	Performs Choleksy decomposition on the provided matrix.
boolean	CholeskyDecompositionLDL_FDRM.decompose(FMatrixRMaj mat)	Performs Choleksy decomposition on the provided matrix.
FMatrixRMaj	CholeskyDecompositionLDL_FDRM.getD(@Nullable FMatrixRMaj D)
FMatrixRMaj	CholeskyDecompositionLDL_FDRM.getL(@Nullable FMatrixRMaj L)
FMatrixRMaj	CholeskyDecomposition_FDRB_to_FDRM.getT(@Nullable FMatrixRMaj T)
FMatrixRMaj	CholeskyDecompositionCommon_FDRM.getT(@Nullable FMatrixRMaj T)
void	CholeskyDecompositionBlock_FDRM.solveL_special(float[] L, FMatrixRMaj b_src, int indexSrc, int indexDst, FMatrixRMaj B)	This is a variation on the TriangularSolver_FDRM.solveL(float[], float[], int) function.
void	CholeskyDecompositionBlock_MT_FDRM.solveL_special(float[] L, FMatrixRMaj b_src, int indexSrc, int indexDst, FMatrixRMaj B)
void	CholeskyDecompositionBlock_FDRM.symmRankTranA_sub(FMatrixRMaj a, FMatrixRMaj c, int startIndexC)	Performs this operation: c = c - aTa where c is a submatrix.
void	CholeskyDecompositionBlock_MT_FDRM.symmRankTranA_sub(FMatrixRMaj a, FMatrixRMaj c, int startIndexC)

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

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

Modifier and Type	Method	Description
FMatrixRMaj	EigenPowerMethod_FDRM.getEigenVector()
FMatrixRMaj	SwitchingEigenDecomposition_FDRM.getEigenVector(int index)
FMatrixRMaj	SymmetricQRAlgorithmDecomposition_FDRM.getEigenVector(int index)
FMatrixRMaj	WatchedDoubleStepQRDecomposition_FDRM.getEigenVector(int index)

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

Modifier and Type	Method	Description
boolean	EigenPowerMethod_FDRM.computeDirect(FMatrixRMaj A)	This method computes the eigen vector with the largest eigen value by using the direct power method.
boolean	EigenPowerMethod_FDRM.computeShiftDirect(FMatrixRMaj A, float alpha)	Computes the most dominant eigen vector of A using a shifted matrix.
boolean	EigenPowerMethod_FDRM.computeShiftInvert(FMatrixRMaj A, float alpha)	Computes the most dominant eigen vector of A using an inverted shifted matrix.
boolean	SwitchingEigenDecomposition_FDRM.decompose(FMatrixRMaj orig)
boolean	SymmetricQRAlgorithmDecomposition_FDRM.decompose(FMatrixRMaj orig)	Decomposes the matrix using the QR algorithm.
boolean	WatchedDoubleStepQRDecomposition_FDRM.decompose(FMatrixRMaj A)
boolean	EigenvalueExtractor_FDRM.process(FMatrixRMaj A)
void	EigenPowerMethod_FDRM.setSeed(FMatrixRMaj 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 FMatrixRMaj

Modifier	Constructor	Description
	SwitchingEigenDecomposition_FDRM(EigenDecomposition_F32<FMatrixRMaj> symmetricAlg, EigenDecomposition_F32<FMatrixRMaj> generalAlg, float tol)
	SymmetricQRAlgorithmDecomposition_FDRM(TridiagonalSimilarDecomposition_F32<FMatrixRMaj> decomp, boolean computeVectors)

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

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

Modifier and Type	Field	Description
protected @Nullable FMatrixRMaj	SymmetricQREigenHelper_FDRM.Q

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

Modifier and Type	Method	Description
@Nullable FMatrixRMaj	SymmetricQrAlgorithm_FDRM.getQ()

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

Modifier and Type	Method	Description
void	SymmetricQrAlgorithm_FDRM.setQ(@Nullable FMatrixRMaj q)
void	SymmetricQREigenHelper_FDRM.setQ(FMatrixRMaj q)

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

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

Modifier and Type	Field	Description
protected FMatrixRMaj	WatchedDoubleStepQREigen_FDRM._temp
@Nullable FMatrixRMaj	WatchedDoubleStepQREigen_FDRM.Q
protected FMatrixRMaj	WatchedDoubleStepQREigen_FDRM.u

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

Modifier and Type	Method	Description
FMatrixRMaj[]	WatchedDoubleStepQREigenvector_FDRM.getEigenvectors()
FMatrixRMaj	WatchedDoubleStepQREigenvector_FDRM.getQ()

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

Modifier and Type	Method	Description
boolean	WatchedDoubleStepQREigenvector_FDRM.extractVectors(FMatrixRMaj Q_h)
boolean	WatchedDoubleStepQREigenvalue_FDRM.process(FMatrixRMaj origA)
boolean	WatchedDoubleStepQREigenvector_FDRM.process(WatchedDoubleStepQREigen_FDRM implicit, FMatrixRMaj A, FMatrixRMaj Q_h)
protected void	WatchedDoubleStepQREigen_FDRM.rank1UpdateMultL(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	WatchedDoubleStepQREigen_MT_FDRM.rank1UpdateMultL(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	WatchedDoubleStepQREigen_FDRM.rank1UpdateMultR(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	WatchedDoubleStepQREigen_MT_FDRM.rank1UpdateMultR(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
void	WatchedDoubleStepQREigen_FDRM.setQ(@Nullable FMatrixRMaj Q)
void	WatchedDoubleStepQREigen_FDRM.setup(FMatrixRMaj A)
void	WatchedDoubleStepQREigenvalue_FDRM.setup(FMatrixRMaj A)

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

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

Modifier and Type	Field	Description
protected FMatrixRMaj	TridiagonalDecompositionHouseholder_FDRM.QT	Only the upper right triangle is used.

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

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

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

Modifier and Type	Method	Description
boolean	HessenbergSimilarDecomposition_FDRM.decompose(FMatrixRMaj A)	Computes the decomposition of the provided matrix.
boolean	TridiagonalDecompositionHouseholder_FDRM.decompose(FMatrixRMaj A)	Decomposes the provided symmetric matrix.
void	TridiagonalDecompositionHouseholderOrig_FDRM.decompose(FMatrixRMaj A)	Decomposes the provided symmetric matrix.
FMatrixRMaj	HessenbergSimilarDecomposition_FDRM.getH(@Nullable FMatrixRMaj H)	An upper Hessenberg matrix from the decomposition.
FMatrixRMaj	HessenbergSimilarDecomposition_FDRM.getQ(@Nullable FMatrixRMaj Q)	An orthogonal matrix that has the following property: H = QTAQ
FMatrixRMaj	TridiagonalDecomposition_FDRB_to_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean transposed)
FMatrixRMaj	TridiagonalDecompositionHouseholder_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean transposed)	An orthogonal matrix that has the following property: T = QTAQ
FMatrixRMaj	TridiagonalDecompositionHouseholderOrig_FDRM.getQ(@Nullable FMatrixRMaj Q)	An orthogonal matrix that has the following property: T = QTAQ
FMatrixRMaj	TridiagonalDecomposition_FDRB_to_FDRM.getT(@Nullable FMatrixRMaj T)
FMatrixRMaj	TridiagonalDecompositionHouseholder_FDRM.getT(@Nullable FMatrixRMaj T)	Extracts the tridiagonal matrix found in the decomposition.
FMatrixRMaj	TridiagonalDecompositionHouseholderOrig_FDRM.getT(@Nullable FMatrixRMaj T)	Extracts the tridiagonal matrix found in the decomposition.
void	TridiagonalDecompositionHouseholder_FDRM.init(FMatrixRMaj A)	If needed declares and sets up internal data structures.
void	TridiagonalDecompositionHouseholderOrig_FDRM.init(FMatrixRMaj A)	If needed declares and sets up internal data structures.
protected void	HessenbergSimilarDecomposition_FDRM.rank1UpdateMultL(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	HessenbergSimilarDecomposition_MT_FDRM.rank1UpdateMultL(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_FDRM.rank1UpdateMultL(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_MT_FDRM.rank1UpdateMultL(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	HessenbergSimilarDecomposition_FDRM.rank1UpdateMultR(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	HessenbergSimilarDecomposition_MT_FDRM.rank1UpdateMultR(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_FDRM.rank1UpdateMultR(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)
protected void	TridiagonalDecompositionHouseholder_MT_FDRM.rank1UpdateMultR(FMatrixRMaj A, float gamma, int colA0, int w0, int w1)

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

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

Modifier and Type	Field	Description
protected FMatrixRMaj	LUDecompositionBase_FDRM.LU

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

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

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

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

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

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

Modifier and Type	Field	Description
protected FMatrixRMaj	QRDecompositionHouseholder_FDRM.QR	Where the Q and R matrices are stored.
protected FMatrixRMaj	QRDecompositionHouseholderTran_FDRM.QR	Where the Q and R matrices are stored.

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

Modifier and Type	Method	Description
FMatrixRMaj	QRColPivDecompositionHouseholderColumn_FDRM.getColPivotMatrix(@Nullable FMatrixRMaj P)
FMatrixRMaj	QRColPivDecompositionHouseholderColumn_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
FMatrixRMaj	QRDecomposition_FDRB_to_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)
FMatrixRMaj	QRDecompositionHouseholder_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
FMatrixRMaj	QRDecompositionHouseholderColumn_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
FMatrixRMaj	QRDecompositionHouseholderColumn_MT_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)
FMatrixRMaj	QRDecompositionHouseholderTran_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
FMatrixRMaj	QRDecompositionHouseholder_FDRM.getQR()	Returns a single matrix which contains the combined values of Q and R.
FMatrixRMaj	QRDecompositionHouseholderTran_FDRM.getQR()	Inner matrix that stores the decomposition
FMatrixRMaj	QRDecomposition_FDRB_to_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)
FMatrixRMaj	QRDecompositionHouseholder_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
FMatrixRMaj	QRDecompositionHouseholderColumn_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
FMatrixRMaj	QRDecompositionHouseholderTran_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
FMatrixRMaj	QrUpdate_FDRM.getU_tran()

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

Modifier and Type	Method	Description
void	QrUpdate_FDRM.addRow(FMatrixRMaj Q, FMatrixRMaj R, float[] 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_FDRM.applyQ(FMatrixRMaj A)	A = Q*A
void	QRDecompositionHouseholderTran_FDRM.applyTranQ(FMatrixRMaj A)	A = QT*A
protected void	QRDecompositionHouseholder_FDRM.commonSetup(FMatrixRMaj A)	This function performs sanity check on the input for decompose and sets up the QR matrix.
protected void	QRDecompositionHouseholderColumn_FDRM.convertToColumnMajor(FMatrixRMaj A)	Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.
boolean	QRColPivDecompositionHouseholderColumn_FDRM.decompose(FMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholder_FDRM.decompose(FMatrixRMaj A)	In order to decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderColumn_FDRM.decompose(FMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderTran_FDRM.decompose(FMatrixRMaj A)	To decompose the matrix 'A' it must have full rank.
void	QrUpdate_FDRM.deleteRow(FMatrixRMaj Q, FMatrixRMaj 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.
FMatrixRMaj	QRColPivDecompositionHouseholderColumn_FDRM.getColPivotMatrix(@Nullable FMatrixRMaj P)
FMatrixRMaj	QRColPivDecompositionHouseholderColumn_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
FMatrixRMaj	QRDecomposition_FDRB_to_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)
FMatrixRMaj	QRDecompositionHouseholder_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
FMatrixRMaj	QRDecompositionHouseholderColumn_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the imformation stored in the QR matrix.
FMatrixRMaj	QRDecompositionHouseholderColumn_MT_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)
FMatrixRMaj	QRDecompositionHouseholderTran_FDRM.getQ(@Nullable FMatrixRMaj Q, boolean compact)	Computes the Q matrix from the information stored in the QR matrix.
FMatrixRMaj	QRDecomposition_FDRB_to_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)
FMatrixRMaj	QRDecompositionHouseholder_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
FMatrixRMaj	QRDecompositionHouseholderColumn_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
FMatrixRMaj	QRDecompositionHouseholderTran_FDRM.getR(@Nullable FMatrixRMaj R, boolean compact)	Returns an upper triangular matrix which is the R in the QR decomposition.
static void	QrHelperFunctions_FDRM.rank1UpdateMultL(FMatrixRMaj A, float[] u, float 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_FDRM.rank1UpdateMultL(FMatrixRMaj A, float[] u, float 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_FDRM.rank1UpdateMultR(FMatrixRMaj A, float[] u, float gamma, int colA0, int w0, int w1, float[] _temp)	Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right. A = (I - γ*u*uT)*A
static void	QrHelperFunctions_FDRM.rank1UpdateMultR(FMatrixRMaj A, float[] u, int offsetU, float gamma, int colA0, int w0, int w1, float[] _temp)
static void	QrHelperFunctions_MT_FDRM.rank1UpdateMultR(FMatrixRMaj A, float[] u, float gamma, int colA0, int w0, int w1, float[] _temp)	Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right. A = (I - γ*u*uT)*A
static void	QrHelperFunctions_MT_FDRM.rank1UpdateMultR(FMatrixRMaj A, float[] u, int offsetU, float gamma, int colA0, int w0, int w1, float[] _temp)
static void	QrHelperFunctions_FDRM.rank1UpdateMultR_u0(FMatrixRMaj A, float[] u, float u_0, float gamma, int colA0, int w0, int w1, float[] _temp)
static void	QrHelperFunctions_MT_FDRM.rank1UpdateMultR_u0(FMatrixRMaj A, float[] u, float u_0, float gamma, int colA0, int w0, int w1, float[] _temp)

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

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

Modifier and Type	Field	Description
protected BidiagonalDecomposition_F32<FMatrixRMaj>	SvdImplicitQrDecompose_FDRM.bidiag

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

Modifier and Type	Method	Description
FMatrixRMaj	SafeSvd_FDRM.getU(@Nullable FMatrixRMaj U, boolean transposed)
FMatrixRMaj	SvdImplicitQrDecompose_FDRM.getU(@Nullable FMatrixRMaj U, boolean transpose)
FMatrixRMaj	SafeSvd_FDRM.getV(@Nullable FMatrixRMaj V, boolean transposed)
FMatrixRMaj	SvdImplicitQrDecompose_FDRM.getV(@Nullable FMatrixRMaj V, boolean transpose)
FMatrixRMaj	SafeSvd_FDRM.getW(@Nullable FMatrixRMaj W)
FMatrixRMaj	SvdImplicitQrDecompose_FDRM.getW(@Nullable FMatrixRMaj W)

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

Modifier and Type	Method	Description
boolean	SafeSvd_FDRM.decompose(FMatrixRMaj orig)
boolean	SvdImplicitQrDecompose_FDRM.decompose(FMatrixRMaj orig)
FMatrixRMaj	SafeSvd_FDRM.getU(@Nullable FMatrixRMaj U, boolean transposed)
FMatrixRMaj	SvdImplicitQrDecompose_FDRM.getU(@Nullable FMatrixRMaj U, boolean transpose)
FMatrixRMaj	SafeSvd_FDRM.getV(@Nullable FMatrixRMaj V, boolean transposed)
FMatrixRMaj	SvdImplicitQrDecompose_FDRM.getV(@Nullable FMatrixRMaj V, boolean transpose)
FMatrixRMaj	SafeSvd_FDRM.getW(@Nullable FMatrixRMaj W)
FMatrixRMaj	SvdImplicitQrDecompose_FDRM.getW(@Nullable FMatrixRMaj W)
protected void	SvdImplicitQrDecompose_FDRM.transpose(@NotNull FMatrixRMaj V, FMatrixRMaj Vt)
protected void	SvdImplicitQrDecompose_MT_FDRM.transpose(@NotNull FMatrixRMaj V, FMatrixRMaj Vt)

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

Modifier	Constructor	Description
	SafeSvd_FDRM(SingularValueDecomposition_F32<FMatrixRMaj> alg)

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

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

Modifier and Type	Field	Description
protected @Nullable FMatrixRMaj	SvdImplicitQrAlgorithm_FDRM.Ut
protected @Nullable FMatrixRMaj	SvdImplicitQrAlgorithm_FDRM.Vt

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

Modifier and Type	Method	Description
@Nullable FMatrixRMaj	SvdImplicitQrAlgorithm_FDRM.getUt()
@Nullable FMatrixRMaj	SvdImplicitQrAlgorithm_FDRM.getVt()

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

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

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

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

Modifier and Type	Method	Description
static CholeskyDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.chol(boolean lower)	Returns a CholeskyDecomposition_F32 that isn't specialized for any specific matrix size.
static CholeskyDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.chol(int matrixSize, boolean lower)	Returns a CholeskyDecomposition_F32 that has been optimized for the specified matrix size.
static CholeskyDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.chol(boolean lower)	Returns a CholeskyDecomposition_F32 that isn't specialized for any specific matrix size.
static CholeskyDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.chol(int matrixSize, boolean lower)	Returns a CholeskyDecomposition_F32 that has been optimized for the specified matrix size.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.chol(int numRows)	Creates a linear solver using Cholesky decomposition
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_MT_FDRM.chol(int numRows)	Creates a linear solver using Cholesky decomposition
static CholeskyLDLDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.cholLDL()
static CholeskyLDLDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.cholLDL(int matrixSize)	Returns a CholeskyDecompositionLDL_FDRM that has been optimized for the specified matrix size.
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.eig(boolean needVectors)
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.eig(boolean computeVectors, boolean isSymmetric)
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.eig(int matrixSize, boolean needVectors)	Returns an EigenDecomposition that has been optimized for the specified matrix size.
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.eig(int matrixSize, boolean computeVectors, boolean isSymmetric)	Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.eig(boolean needVectors)
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.eig(boolean computeVectors, boolean isSymmetric)
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.eig(int matrixSize, boolean needVectors)	Returns an EigenDecomposition that has been optimized for the specified matrix size.
static EigenDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.eig(int matrixSize, boolean computeVectors, boolean isSymmetric)	Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.general(int numRows, int numCols)	Creates a general purpose solver.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.leastSquares(int numRows, int numCols)	Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_MT_FDRM.leastSquares(int numRows, int numCols)	Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.leastSquaresQrPivot(boolean computeNorm2, boolean computeQ)	Linear solver which uses QR pivot decomposition.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.linear(int matrixSize)	Creates a solver for linear systems.
static LUDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.lu()
static LUDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.lu(int numRows, int numCol)	Returns a LUDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.lu(int numRows)	Creates a linear solver using LU decomposition
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.pseudoInverse(boolean useSVD)	Returns a solver which uses the pseudo inverse.
static QRDecomposition<FMatrixRMaj>	DecompositionFactory_FDRM.qr()
static QRDecomposition<FMatrixRMaj>	DecompositionFactory_FDRM.qr(int numRows, int numCols)	Returns a QRDecomposition that has been optimized for the specified matrix size.
static QRDecomposition<FMatrixRMaj>	DecompositionFactory_MT_FDRM.qr()
static QRDecomposition<FMatrixRMaj>	DecompositionFactory_MT_FDRM.qr(int numRows, int numCols)	Returns a QRDecomposition that has been optimized for the specified matrix size.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.qr(int numRows, int numCols)	Creates a linear solver using QR decomposition
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_MT_FDRM.qr(int numRows, int numCols)	Creates a linear solver using QR decomposition
static QRPDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.qrp()
static QRPDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.qrp(int numRows, int numCols)	Returns a QRPDecomposition_F32 that has been optimized for the specified matrix size.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_FDRM.qrp(boolean computeNorm2, boolean computeQ)	Creates a linear solver using QRP decomposition
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.svd(boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.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_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.svd(boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.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<FMatrixRMaj>	LinearSolverFactory_FDRM.symmPosDef(int matrixWidth)	Creates a solver for symmetric positive definite matrices.
static LinearSolverDense<FMatrixRMaj>	LinearSolverFactory_MT_FDRM.symmPosDef(int matrixWidth)	Creates a solver for symmetric positive definite matrices.
static TridiagonalSimilarDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.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_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.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 FMatrixRMaj

Modifier and Type	Method	Description
static float	DecompositionFactory_FDRM.quality(FMatrixRMaj orig, FMatrixRMaj U, FMatrixRMaj W, FMatrixRMaj Vt)
static float	DecompositionFactory_FDRM.quality(FMatrixRMaj orig, EigenDecomposition_F32<FMatrixRMaj> eig)	Computes a metric which measures the the quality of an eigen value decomposition.
static float	DecompositionFactory_FDRM.quality(FMatrixRMaj orig, SingularValueDecomposition<FMatrixRMaj> 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 FMatrixRMaj

Modifier and Type	Method	Description
static float	DecompositionFactory_FDRM.quality(FMatrixRMaj orig, EigenDecomposition_F32<FMatrixRMaj> eig)	Computes a metric which measures the the quality of an eigen value decomposition.
static float	DecompositionFactory_FDRM.quality(FMatrixRMaj orig, SingularValueDecomposition<FMatrixRMaj> svd)	Computes a metric which measures the the quality of a singular value decomposition.

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

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

Modifier and Type	Field	Description
protected @Nullable FMatrixRMaj	LinearSolverAbstract_FDRM.A

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

Modifier and Type	Method	Description
@Nullable FMatrixRMaj	LinearSolverAbstract_FDRM.getA()

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

Modifier and Type	Method	Description
protected void	LinearSolverAbstract_FDRM._setA(FMatrixRMaj A)
static void	InvertUsingSolve_FDRM.invert(LinearSolverDense<FMatrixRMaj> solver, FMatrix1Row A, FMatrixRMaj A_inv)
static void	InvertUsingSolve_FDRM.invert(LinearSolverDense<FMatrixRMaj> solver, FMatrix1Row A, FMatrixRMaj A_inv, FMatrixRMaj storage)
void	LinearSolver_FDRB_to_FDRM.invert(FMatrixRMaj 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_FDRM.invert(FMatrixRMaj A_inv)
void	LinearSolverUnrolled_FDRM.invert(FMatrixRMaj A_inv)
boolean	LinearSolver_FDRB_to_FDRM.setA(FMatrixRMaj A)	Converts 'A' into a block matrix and call setA() on the block matrix solver.
boolean	LinearSolverUnrolled_FDRM.setA(FMatrixRMaj A)
void	LinearSolver_FDRB_to_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)	Converts B and X into block matrices and calls the block matrix solve routine.
void	LinearSolverUnrolled_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)

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

Modifier and Type	Method	Description
static void	InvertUsingSolve_FDRM.invert(LinearSolverDense<FMatrixRMaj> solver, FMatrix1Row A, FMatrixRMaj A_inv)
static void	InvertUsingSolve_FDRM.invert(LinearSolverDense<FMatrixRMaj> solver, FMatrix1Row A, FMatrixRMaj A_inv, FMatrixRMaj storage)

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

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

Modifier and Type	Method	Description
CholeskyDecomposition_F32<FMatrixRMaj>	LinearSolverChol_FDRM.getDecomposition()
CholeskyLDLDecomposition_F32<FMatrixRMaj>	LinearSolverCholLDL_FDRM.getDecomposition()

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

Modifier and Type	Method	Description
void	LinearSolverChol_FDRM.invert(FMatrixRMaj inv)	Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
void	LinearSolverCholLDL_FDRM.invert(FMatrixRMaj inv)	Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
boolean	LinearSolverChol_FDRM.setA(FMatrixRMaj A)
boolean	LinearSolverCholLDL_FDRM.setA(FMatrixRMaj A)
void	LinearSolverChol_FDRB.solve(FMatrixRMaj B, FMatrixRMaj X)	Only converts the B matrix and passes that onto solve.
void	LinearSolverChol_FDRM.solve(FMatrixRMaj B, FMatrixRMaj 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_FDRM.solve(FMatrixRMaj B, FMatrixRMaj 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_FDRM.solveLower(FMatrixRMaj L, FMatrixRMaj B, FMatrixRMaj X, float[] vv)

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

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

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

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

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

Modifier and Type	Field	Description
protected final FMatrixRMaj	LinearSolverQrHouseCol_FDRM.a
protected FMatrixRMaj	BaseLinearSolverQrp_FDRM.I
protected FMatrixRMaj	LinearSolverQr_FDRM.Q
protected FMatrixRMaj	BaseLinearSolverQrp_FDRM.R
protected FMatrixRMaj	LinearSolverQr_FDRM.R
protected final FMatrixRMaj	LinearSolverQrHouseCol_FDRM.R
protected FMatrixRMaj	BaseLinearSolverQrp_FDRM.R11
protected final FMatrixRMaj	LinearSolverQrHouseCol_FDRM.temp
protected FMatrixRMaj	BaseLinearSolverQrp_FDRM.Y

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

Modifier and Type	Field	Description
protected LinearSolverDense<FMatrixRMaj>	BaseLinearSolverQrp_FDRM.internalSolver

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

Modifier and Type	Method	Description
FMatrixRMaj	AdjLinearSolverQr_FDRM.getA()	Compute the A matrix from the Q and R matrices.
FMatrixRMaj	LinearSolverQr_FDRM.getQ()
FMatrixRMaj	SolveNullSpaceQR_FDRM.getQ()
FMatrixRMaj	SolveNullSpaceQRP_FDRM.getQ()
FMatrixRMaj	LinearSolverQr_FDRM.getR()

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

Modifier and Type	Method	Description
QRDecomposition<FMatrixRMaj>	LinearSolverQr_FDRM.getDecomposer()
QRPDecomposition_F32<FMatrixRMaj>	BaseLinearSolverQrp_FDRM.getDecomposition()
QRDecomposition<FMatrixRMaj>	LinearSolverQr_FDRM.getDecomposition()
QRDecomposition<FMatrixRMaj>	LinearSolverQrHouse_FDRM.getDecomposition()
QRDecomposition<FMatrixRMaj>	LinearSolverQrHouseCol_FDRM.getDecomposition()
QRDecomposition<FMatrixRMaj>	LinearSolverQrHouseTran_FDRM.getDecomposition()

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

Modifier and Type	Method	Description
void	BaseLinearSolverQrp_FDRM.invert(FMatrixRMaj A_inv)
boolean	SolveNullSpaceQR_FDRM.process(FMatrixRMaj A, int numSingularValues, FMatrixRMaj nullspace)	Finds the null space of A
boolean	SolveNullSpaceQRP_FDRM.process(FMatrixRMaj A, int numSingularValues, FMatrixRMaj nullspace)	Finds the null space of A
boolean	BaseLinearSolverQrp_FDRM.setA(FMatrixRMaj A)
boolean	LinearSolverQr_FDRM.setA(FMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouse_FDRM.setA(FMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouseCol_FDRM.setA(FMatrixRMaj A)	Performs QR decomposition on A
boolean	LinearSolverQrHouseTran_FDRM.setA(FMatrixRMaj A)	Performs QR decomposition on A
boolean	SolvePseudoInverseQrp_FDRM.setA(FMatrixRMaj A)
void	LinearSolverQr_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouse_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseCol_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseCol_MT_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrHouseTran_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)	Solves for X using the QR decomposition.
void	LinearSolverQrpHouseCol_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)
void	SolvePseudoInverseQrp_FDRM.solve(FMatrixRMaj B, FMatrixRMaj X)
protected void	BaseLinearSolverQrp_FDRM.upgradeSolution(FMatrixRMaj 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 FMatrixRMaj

Modifier	Constructor	Description
protected	BaseLinearSolverQrp_FDRM(QRPDecomposition_F32<FMatrixRMaj> decomposition, boolean norm2Solution)	Configures internal parameters.
	LinearSolverQr_FDRM(QRDecomposition<FMatrixRMaj> decomposer)	Creates a linear solver that uses QR decomposition.
	SolvePseudoInverseQrp_FDRM(QRPDecomposition_F32<FMatrixRMaj> decomposition, boolean norm2Solution)	Configure and provide decomposition

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

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

Modifier and Type	Method	Description
SingularValueDecomposition<FMatrixRMaj>	SolvePseudoInverseSvd_FDRM.getDecomposer()
SingularValueDecomposition_F32<FMatrixRMaj>	SolvePseudoInverseSvd_FDRM.getDecomposition()
SingularValueDecomposition_F32<FMatrixRMaj>	SolveNullSpaceSvd_FDRM.getSvd()

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

Modifier and Type	Method	Description
void	SolvePseudoInverseSvd_FDRM.invert(FMatrixRMaj A_inv)
boolean	SolveNullSpaceSvd_FDRM.process(FMatrixRMaj input, int numberOfSingular, FMatrixRMaj nullspace)
boolean	SolvePseudoInverseSvd_FDRM.setA(FMatrixRMaj A)
void	SolvePseudoInverseSvd_FDRM.solve(FMatrixRMaj b, FMatrixRMaj x)

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

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

Modifier and Type	Method	Description
static void	ImplCommonOps_FDRM.extract(FMatrixRMaj src, int srcY0, int srcX0, FMatrixRMaj dst, int dstY0, int dstX0, int numRows, int numCols)
static void	UnrolledInverseFromMinor_FDRM.inv(FMatrixRMaj mat, FMatrixRMaj inv)
static void	UnrolledInverseFromMinor_FDRM.inv2(FMatrixRMaj mat, FMatrixRMaj inv, float scale)
static void	UnrolledInverseFromMinor_FDRM.inv3(FMatrixRMaj mat, FMatrixRMaj inv, float scale)
static void	UnrolledInverseFromMinor_FDRM.inv4(FMatrixRMaj mat, FMatrixRMaj inv, float scale)
static void	UnrolledInverseFromMinor_FDRM.inv5(FMatrixRMaj mat, FMatrixRMaj inv, float scale)
void	RrefGaussJordanRowPivot_FDRM.reduce(FMatrixRMaj A, int coefficientColumns)
protected static void	RrefGaussJordanRowPivot_FDRM.swapRows(FMatrixRMaj A, int rowA, int rowB)

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

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

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

Uses of FMatrixRMaj in org.ejml.equation

Methods in org.ejml.equation that return FMatrixRMaj

Modifier and Type	Method	Description
FMatrixRMaj	Equation.lookupFDRM(String token)

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

Modifier and Type	Method	Description
void	Equation.alias(FMatrixRMaj variable, String name)

Uses of FMatrixRMaj in org.ejml.ops

Methods in org.ejml.ops that return FMatrixRMaj

Modifier and Type	Method	Description
static FMatrixRMaj	FConvertArrays.convert(float[][] src, @Nullable FMatrixRMaj dst)
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix2 input, @Nullable FMatrixRMaj output)	Converts FMatrix2 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix2x2 input, @Nullable FMatrixRMaj output)	Converts FMatrix2x2 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix3 input, @Nullable FMatrixRMaj output)	Converts FMatrix3 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix3x3 input, @Nullable FMatrixRMaj output)	Converts FMatrix3x3 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix4 input, @Nullable FMatrixRMaj output)	Converts FMatrix4 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix4x4 input, @Nullable FMatrixRMaj output)	Converts FMatrix4x4 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix5 input, @Nullable FMatrixRMaj output)	Converts FMatrix5 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix5x5 input, @Nullable FMatrixRMaj output)	Converts FMatrix5x5 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix6 input, @Nullable FMatrixRMaj output)	Converts FMatrix6 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix6x6 input, @Nullable FMatrixRMaj output)	Converts FMatrix6x6 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrixRBlock src, @Nullable FMatrixRMaj dst)	Converts FMatrixRBlock into FMatrixRMaj
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrixSparseCSC src, @Nullable FMatrixRMaj dst)
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrixSparseTriplet src, @Nullable FMatrixRMaj dst)
static FMatrixRMaj	MatrixIO.loadMatrixMarketFDRM(Reader reader)	Reads a stream in Matrix Market Coordinate format
static FMatrixRMaj	MatrixIO.matlabToFDRM(String text)	Converts a text string in matlab format into a DDRM matrix
FMatrixRMaj	ReadMatrixCsv.readFDRM(int numRows, int numCols)	Reads in a FMatrixRMaj from the IO stream where the user specifies the matrix dimensions.

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

Modifier and Type	Method	Description
static void	ConvertMatrixData.convert(DMatrixRMaj src, FMatrixRMaj dst)
static void	ConvertMatrixData.convert(FMatrixRMaj src, CMatrixRMaj dst)
static void	ConvertMatrixData.convert(FMatrixRMaj src, DMatrixRMaj dst)
static void	ConvertMatrixData.convert(FMatrixRMaj src, ZMatrixRMaj dst)
static FMatrixRMaj	FConvertArrays.convert(float[][] src, @Nullable FMatrixRMaj dst)
static float[][]	FConvertArrays.convert(FMatrixRMaj src)	Convert a FMatrixRMaj to a two-dimensional array, given FMatrixRMaj can take a float[][] as input to constructor
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix2 input, @Nullable FMatrixRMaj output)	Converts FMatrix2 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix2x2 input, @Nullable FMatrixRMaj output)	Converts FMatrix2x2 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix3 input, @Nullable FMatrixRMaj output)	Converts FMatrix3 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix3x3 input, @Nullable FMatrixRMaj output)	Converts FMatrix3x3 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix4 input, @Nullable FMatrixRMaj output)	Converts FMatrix4 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix4x4 input, @Nullable FMatrixRMaj output)	Converts FMatrix4x4 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix5 input, @Nullable FMatrixRMaj output)	Converts FMatrix5 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix5x5 input, @Nullable FMatrixRMaj output)	Converts FMatrix5x5 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix6 input, @Nullable FMatrixRMaj output)	Converts FMatrix6 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrix6x6 input, @Nullable FMatrixRMaj output)	Converts FMatrix6x6 into FMatrixRMaj.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrixRBlock src, @Nullable FMatrixRMaj dst)	Converts FMatrixRBlock into FMatrixRMaj
static FMatrix2	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix2 output)	Converts FMatrixRMaj into FMatrix2
static FMatrix2x2	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix2x2 output)	Converts FMatrixRMaj into FMatrix2x2
static FMatrix3	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix3 output)	Converts FMatrixRMaj into FMatrix3
static FMatrix3x3	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix3x3 output)	Converts FMatrixRMaj into FMatrix3x3
static FMatrix4	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix4 output)	Converts FMatrixRMaj into FMatrix4
static FMatrix4x4	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix4x4 output)	Converts FMatrixRMaj into FMatrix4x4
static FMatrix5	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix5 output)	Converts FMatrixRMaj into FMatrix5
static FMatrix5x5	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix5x5 output)	Converts FMatrixRMaj into FMatrix5x5
static FMatrix6	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix6 output)	Converts FMatrixRMaj into FMatrix6
static FMatrix6x6	FConvertMatrixStruct.convert(FMatrixRMaj input, @Nullable FMatrix6x6 output)	Converts FMatrixRMaj into FMatrix6x6
static FMatrixSparseCSC	FConvertMatrixStruct.convert(FMatrixRMaj src, @Nullable FMatrixSparseCSC dst, float tol)	Converts FMatrixRMaj into a FMatrixSparseCSC
static FMatrixSparseTriplet	FConvertMatrixStruct.convert(FMatrixRMaj src, @Nullable FMatrixSparseTriplet dst, float tol)
static void	FConvertMatrixStruct.convert(FMatrixRMaj src, FMatrixRBlock dst)	Converts FMatrixRMaj into FMatrixRBlock Can't handle null output matrix since block size needs to be specified.
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrixSparseCSC src, @Nullable FMatrixRMaj dst)
static FMatrixRMaj	FConvertMatrixStruct.convert(FMatrixSparseTriplet src, @Nullable FMatrixRMaj dst)
static void	MatrixIO.saveMatrixMarket(FMatrixRMaj matrix, String floatFormat, Writer writer)	Writes a stream using the Matrix Market Coordinate format.

Uses of FMatrixRMaj in org.ejml.simple

Methods in org.ejml.simple that return FMatrixRMaj

Modifier and Type	Method	Description
FMatrixRMaj	SimpleBase.getFDRM()	Returns a reference to the matrix that it uses internally if this is a FMatrixRMaj.

Uses of FMatrixRMaj in org.ejml.simple.ops

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

Modifier and Type	Method	Description
FMatrixRMaj	SimpleOperations_FDRM.diag(FMatrixRMaj A)

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

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

Uses of FMatrixRMaj in org.ejml.sparse.csc

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

Modifier and Type	Method	Description
static FMatrixRMaj	CommonOps_FSCC.maxCols(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.maxRows(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.minCols(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.minRows(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable FGrowArray work)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable FGrowArray work)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.reduceColumnWise(FMatrixSparseCSC input, float initValue, FOperatorBinary func, @Nullable FMatrixRMaj output, @Nullable Mask mask)	This accumulates the values per column to a scalar value
static FMatrixRMaj	CommonOps_FSCC.reduceRowWise(FMatrixSparseCSC input, float initValue, FOperatorBinary func, @Nullable FMatrixRMaj output)	This accumulates the values per row to a scalar value
static FMatrixRMaj	CommonOps_FSCC.sumCols(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.sumRows(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj

Modifier and Type	Method	Description
static void	CommonOps_FSCC.extractDiag(FMatrixSparseCSC A, FMatrixRMaj outputB)	Extracts the diagonal elements 'src' write it to the 'dst' vector.
static boolean	CommonOps_FSCC.invert(FMatrixSparseCSC A, FMatrixRMaj inverse)	Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
static void	CommonOps_FSCC.maxAbsCols(FMatrixSparseCSC A, @Nullable FMatrixRMaj outputB)	Finds the maximum abs in each column of A and stores it into values
static FMatrixRMaj	CommonOps_FSCC.maxCols(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.maxRows(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.minCols(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.minRows(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static void	CommonOps_FSCC.multAdd(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	C = C + A*B
static void	CommonOps_MT_FSCC.multAdd(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	C = C + AT*B
static void	CommonOpsWithSemiRing_FSCC.multAdd(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj output, FSemiRing semiRing)	output = output + A*B
static void	CommonOps_FSCC.multAddTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC, @Nullable FGrowArray work)	C = C + AT*B
static void	CommonOps_MT_FSCC.multAddTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	C = C + AT*B
static void	CommonOpsWithSemiRing_FSCC.multAddTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj output, FSemiRing semiRing)	output = output + AT*B
static void	CommonOps_FSCC.multAddTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	C = C + AT*BT
static void	CommonOps_MT_FSCC.multAddTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	C = C + AT*BT
static void	CommonOpsWithSemiRing_FSCC.multAddTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)	C = C + AT*BT
static void	CommonOps_FSCC.multAddTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC, @Nullable FGrowArray work)	C = C + A*BT
static void	CommonOps_MT_FSCC.multAddTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	C = C + A*BT
static void	CommonOpsWithSemiRing_FSCC.multAddTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj output, FSemiRing semiRing)	output = output + A*BT
static FMatrixRMaj	CommonOps_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable FGrowArray work)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj outputC)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable FGrowArray work)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_MT_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj outputC, @Nullable GrowArray<FGrowArray> workspace)	Performs matrix multiplication.
static FMatrixRMaj	CommonOpsWithSemiRing_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, @Nullable FMatrixRMaj output, FSemiRing semiRing)	Performs matrix multiplication.
static FMatrixRMaj	CommonOps_FSCC.reduceColumnWise(FMatrixSparseCSC input, float initValue, FOperatorBinary func, @Nullable FMatrixRMaj output, @Nullable Mask mask)	This accumulates the values per column to a scalar value
static FMatrixRMaj	CommonOps_FSCC.reduceRowWise(FMatrixSparseCSC input, float initValue, FOperatorBinary func, @Nullable FMatrixRMaj output)	This accumulates the values per row to a scalar value
static boolean	CommonOps_FSCC.solve(FMatrixSparseCSC a, FMatrixRMaj b, FMatrixRMaj x)	Solves for x in the following equation: A*x = b
static FMatrixRMaj	CommonOps_FSCC.sumCols(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj	CommonOps_FSCC.sumRows(FMatrixSparseCSC input, @Nullable FMatrixRMaj 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 FMatrixRMaj in org.ejml.sparse.csc.factory

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

Modifier and Type	Method	Description
static LinearSolverSparse<FMatrixSparseCSC,FMatrixRMaj>	LinearSolverFactory_FSCC.cholesky(FillReducing permutation)
static LinearSolverSparse<FMatrixSparseCSC,FMatrixRMaj>	LinearSolverFactory_FSCC.lu(FillReducing permutation)
static LinearSolverSparse<FMatrixSparseCSC,FMatrixRMaj>	LinearSolverFactory_FSCC.qr(FillReducing permutation)

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

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

Modifier and Type	Method	Description
void	LinearSolverCholesky_FSCC.solve(FMatrixRMaj B, FMatrixRMaj X)

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

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

Modifier and Type	Method	Description
void	LinearSolverLu_FSCC.solve(FMatrixRMaj B, FMatrixRMaj X)

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

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

Modifier and Type	Method	Description
void	LinearSolverQrLeftLooking_FSCC.solve(FMatrixRMaj B, FMatrixRMaj X)

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

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

Modifier and Type	Method	Description
static float	MatrixVectorMult_FSCC.innerProduct(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixSparseCSC C)	scalar = AT*B*C
static float	MatrixVectorMult_FSCC.innerProductSelfSymmetrical(FMatrixSparseCSC A, FMatrixRMaj B)	scalar = AT*B*A
static void	ImplMultiplication_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, boolean add, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplication_MT_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.mult(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multAdd(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multAdd(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multAdd(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multAddTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FGrowArray workArray)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multAddTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multAddTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multAddTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multAddTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multAddTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multAddTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FGrowArray workArray)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multAddTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multAddTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FGrowArray workArray)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FGrowArray workArray, FOperatorBinary op)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multTransA(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multTransAB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)
static void	ImplMultiplication_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FGrowArray workArray)	Invoke through CommonOps_FSCC
static void	ImplMultiplication_MT_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, boolean add, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplication_MT_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, GrowArray<FGrowArray> listWork)	Invoke through CommonOps_MT_FSCC as it will manage the input contract
static void	ImplMultiplicationWithSemiRing_FSCC.multTransB(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixRMaj C, FSemiRing semiRing)