Uses of Class
org.ejml.data.DenseMatrix64F

Packages that use DenseMatrix64F

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

Uses of DenseMatrix64F in org.ejml

Methods in org.ejml that return DenseMatrix64F

Modifier and Type	Method and Description
static DenseMatrix64F	UtilEjml.parseMatrix(String s, int numColumns) Give a string of numbers it returns a DenseMatrix

Uses of DenseMatrix64F in org.ejml.alg.block

Methods in org.ejml.alg.block that return DenseMatrix64F

Modifier and Type	Method and Description
static DenseMatrix64F	BlockMatrixOps.convert(BlockMatrix64F src, DenseMatrix64F dst) Converts a row major block matrix into a row major matrix.

Methods in org.ejml.alg.block with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
static DenseMatrix64F	BlockMatrixOps.convert(BlockMatrix64F src, DenseMatrix64F dst) Converts a row major block matrix into a row major matrix.
static BlockMatrix64F	BlockMatrixOps.convert(DenseMatrix64F A)
static void	BlockMatrixOps.convert(DenseMatrix64F src, BlockMatrix64F dst) Converts a row major matrix into a row major block matrix.
static BlockMatrix64F	BlockMatrixOps.convert(DenseMatrix64F A, int blockLength)
static void	BlockMatrixOps.convertTranSrc(DenseMatrix64F src, BlockMatrix64F dst) Converts the transpose of a row major matrix into a row major block matrix.

Uses of DenseMatrix64F in org.ejml.alg.block.decomposition.hessenberg

Fields in org.ejml.alg.block.decomposition.hessenberg declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	TridiagonalDecompositionBlockHouseholder.zerosM

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition

Methods in org.ejml.alg.dense.decomposition with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	BaseDecompositionBlock64.decompose(DenseMatrix64F A)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.bidiagonal

Methods in org.ejml.alg.dense.decomposition.bidiagonal that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	BidiagonalDecompositionRow.getB(DenseMatrix64F B, boolean compact) Returns the bidiagonal matrix.
DenseMatrix64F	BidiagonalDecompositionTall.getB(DenseMatrix64F B, boolean compact)
DenseMatrix64F	BidiagonalDecompositionRow.getU(DenseMatrix64F U, boolean transpose, boolean compact) Returns the orthogonal U matrix.
DenseMatrix64F	BidiagonalDecompositionTall.getU(DenseMatrix64F U, boolean transpose, boolean compact)
DenseMatrix64F	BidiagonalDecompositionRow.getUBV() The raw UBV matrix that is stored internally.
DenseMatrix64F	BidiagonalDecompositionRow.getV(DenseMatrix64F V, boolean transpose, boolean compact) Returns the orthogonal V matrix.
DenseMatrix64F	BidiagonalDecompositionTall.getV(DenseMatrix64F V, boolean transpose, boolean compact)
static DenseMatrix64F	BidiagonalDecompositionRow.handleB(DenseMatrix64F B, boolean compact, int m, int n, int min)
static DenseMatrix64F	BidiagonalDecompositionRow.handleU(DenseMatrix64F U, boolean transpose, boolean compact, int m, int n, int min)
static DenseMatrix64F	BidiagonalDecompositionRow.handleV(DenseMatrix64F V, boolean transpose, boolean compact, int m, int n, int min)

Methods in org.ejml.alg.dense.decomposition.bidiagonal with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	BidiagonalDecompositionRow.decompose(DenseMatrix64F A) Computes the decomposition of the provided matrix.
boolean	BidiagonalDecompositionTall.decompose(DenseMatrix64F orig)
boolean	BidiagonalDecompositionNaive.decompose(DenseMatrix64F A) Computes the decomposition of the provided matrix.
DenseMatrix64F	BidiagonalDecompositionRow.getB(DenseMatrix64F B, boolean compact) Returns the bidiagonal matrix.
DenseMatrix64F	BidiagonalDecompositionTall.getB(DenseMatrix64F B, boolean compact)
DenseMatrix64F	BidiagonalDecompositionRow.getU(DenseMatrix64F U, boolean transpose, boolean compact) Returns the orthogonal U matrix.
DenseMatrix64F	BidiagonalDecompositionTall.getU(DenseMatrix64F U, boolean transpose, boolean compact)
DenseMatrix64F	BidiagonalDecompositionRow.getV(DenseMatrix64F V, boolean transpose, boolean compact) Returns the orthogonal V matrix.
DenseMatrix64F	BidiagonalDecompositionTall.getV(DenseMatrix64F V, boolean transpose, boolean compact)
static DenseMatrix64F	BidiagonalDecompositionRow.handleB(DenseMatrix64F B, boolean compact, int m, int n, int min)
static DenseMatrix64F	BidiagonalDecompositionRow.handleU(DenseMatrix64F U, boolean transpose, boolean compact, int m, int n, int min)
static DenseMatrix64F	BidiagonalDecompositionRow.handleV(DenseMatrix64F V, boolean transpose, boolean compact, int m, int n, int min)
protected void	BidiagonalDecompositionRow.init(DenseMatrix64F A) Sets up internal data structures and creates a copy of the input matrix.
protected void	BidiagonalDecompositionNaive.init(DenseMatrix64F A)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.chol

Fields in org.ejml.alg.dense.decomposition.chol declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	CholeskyDecompositionCommon.T

Methods in org.ejml.alg.dense.decomposition.chol that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	CholeskyDecompositionLDL.getL() Returns L matrix from the decomposition. L*D*LT=A
DenseMatrix64F	CholeskyDecompositionCommon.getT() Returns the triangular matrix from the decomposition.
DenseMatrix64F	CholeskyDecompositionCommon.getT(DenseMatrix64F T)
DenseMatrix64F	CholeskyDecompositionBlock64.getT(DenseMatrix64F T)

Methods in org.ejml.alg.dense.decomposition.chol with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	CholeskyDecompositionCommon.decompose(DenseMatrix64F mat) Performs Choleksy decomposition on the provided matrix.
boolean	CholeskyDecompositionLDL.decompose(DenseMatrix64F mat) Performs Choleksy decomposition on the provided matrix.
DenseMatrix64F	CholeskyDecompositionCommon.getT(DenseMatrix64F T)
DenseMatrix64F	CholeskyDecompositionBlock64.getT(DenseMatrix64F T)
static void	CholeskyDecompositionBlock.solveL_special(double[] L, DenseMatrix64F b_src, int indexSrc, int indexDst, DenseMatrix64F B) This is a variation on the TriangularSolver.solveL(double[], double[], int) function.
static void	CholeskyDecompositionBlock.symmRankTranA_sub(DenseMatrix64F a, DenseMatrix64F c, int startIndexC) Performs this operation: c = c - aTa where c is a submatrix.

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.eig

Methods in org.ejml.alg.dense.decomposition.eig that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	EigenPowerMethod.getEigenVector()
DenseMatrix64F	SwitchingEigenDecomposition.getEigenVector(int index)
DenseMatrix64F	SymmetricQRAlgorithmDecomposition.getEigenVector(int index)
DenseMatrix64F	WatchedDoubleStepQRDecomposition.getEigenVector(int index)

Methods in org.ejml.alg.dense.decomposition.eig with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	EigenPowerMethod.computeDirect(DenseMatrix64F A) This method computes the eigen vector with the largest eigen value by using the direct power method.
boolean	EigenPowerMethod.computeShiftDirect(DenseMatrix64F A, double alpha) Computes the most dominant eigen vector of A using a shifted matrix.
boolean	EigenPowerMethod.computeShiftInvert(DenseMatrix64F A, double alpha) Computes the most dominant eigen vector of A using an inverted shifted matrix.
boolean	SwitchingEigenDecomposition.decompose(DenseMatrix64F orig)
boolean	SymmetricQRAlgorithmDecomposition.decompose(DenseMatrix64F orig) Decomposes the matrix using the QR algorithm.
boolean	WatchedDoubleStepQRDecomposition.decompose(DenseMatrix64F A)
boolean	EigenvalueExtractor.process(DenseMatrix64F A)
void	EigenPowerMethod.setSeed(DenseMatrix64F seed) Sets the value of the vector to use in the start of the iterations.

Constructor parameters in org.ejml.alg.dense.decomposition.eig with type arguments of type DenseMatrix64F

Constructor and Description
SymmetricQRAlgorithmDecomposition(TridiagonalSimilarDecomposition<DenseMatrix64F> decomp, boolean computeVectors)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.eig.symm

Fields in org.ejml.alg.dense.decomposition.eig.symm declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	SymmetricQREigenHelper.Q

Methods in org.ejml.alg.dense.decomposition.eig.symm that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	SymmetricQrAlgorithm.getQ()

Methods in org.ejml.alg.dense.decomposition.eig.symm with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	SymmetricQREigenHelper.setQ(DenseMatrix64F q)
void	SymmetricQrAlgorithm.setQ(DenseMatrix64F q)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.eig.watched

Fields in org.ejml.alg.dense.decomposition.eig.watched declared as DenseMatrix64F

Modifier and Type	Field and Description
DenseMatrix64F	WatchedDoubleStepQREigen.Q

Methods in org.ejml.alg.dense.decomposition.eig.watched that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F[]	WatchedDoubleStepQREigenvector.getEigenvectors()
DenseMatrix64F	WatchedDoubleStepQREigenvector.getQ()

Methods in org.ejml.alg.dense.decomposition.eig.watched with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	WatchedDoubleStepQREigenvector.extractVectors(DenseMatrix64F Q_h)
boolean	WatchedDoubleStepQREigenvalue.process(DenseMatrix64F origA)
boolean	WatchedDoubleStepQREigenvector.process(WatchedDoubleStepQREigen implicit, DenseMatrix64F A, DenseMatrix64F Q_h)
void	WatchedDoubleStepQREigen.setQ(DenseMatrix64F Q)
void	WatchedDoubleStepQREigen.setup(DenseMatrix64F A)
void	WatchedDoubleStepQREigenvalue.setup(DenseMatrix64F A)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.hessenberg

Methods in org.ejml.alg.dense.decomposition.hessenberg that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	HessenbergSimilarDecomposition.getH(DenseMatrix64F H) An upper Hessenberg matrix from the decompostion.
DenseMatrix64F	TridiagonalDecompositionHouseholderOrig.getQ(DenseMatrix64F Q) An orthogonal matrix that has the following property: T = QTAQ
DenseMatrix64F	HessenbergSimilarDecomposition.getQ(DenseMatrix64F Q) An orthogonal matrix that has the following property: H = QTAQ
DenseMatrix64F	TridiagonalDecompositionHouseholder.getQ(DenseMatrix64F Q, boolean transposed) An orthogonal matrix that has the following property: T = QTAQ
DenseMatrix64F	TridiagonalDecompositionBlock.getQ(DenseMatrix64F Q, boolean transposed)
DenseMatrix64F	HessenbergSimilarDecomposition.getQH() The raw QH matrix that is stored internally.
DenseMatrix64F	TridiagonalDecompositionHouseholder.getQT() Returns the internal matrix where the decomposed results are stored.
DenseMatrix64F	TridiagonalDecompositionHouseholderOrig.getQT() Returns the interal matrix where the decomposed results are stored.
DenseMatrix64F	TridiagonalDecompositionHouseholder.getT(DenseMatrix64F T) Extracts the tridiagonal matrix found in the decomposition.
DenseMatrix64F	TridiagonalDecompositionHouseholderOrig.getT(DenseMatrix64F T) Extracts the tridiagonal matrix found in the decomposition.
DenseMatrix64F	TridiagonalDecompositionBlock.getT(DenseMatrix64F T)

Methods in org.ejml.alg.dense.decomposition.hessenberg with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	TridiagonalDecompositionHouseholder.decompose(DenseMatrix64F A) Decomposes the provided symmetric matrix.
void	TridiagonalDecompositionHouseholderOrig.decompose(DenseMatrix64F A) Decomposes the provided symmetric matrix.
boolean	HessenbergSimilarDecomposition.decompose(DenseMatrix64F A) Computes the decomposition of the provided matrix.
DenseMatrix64F	HessenbergSimilarDecomposition.getH(DenseMatrix64F H) An upper Hessenberg matrix from the decompostion.
DenseMatrix64F	TridiagonalDecompositionHouseholderOrig.getQ(DenseMatrix64F Q) An orthogonal matrix that has the following property: T = QTAQ
DenseMatrix64F	HessenbergSimilarDecomposition.getQ(DenseMatrix64F Q) An orthogonal matrix that has the following property: H = QTAQ
DenseMatrix64F	TridiagonalDecompositionHouseholder.getQ(DenseMatrix64F Q, boolean transposed) An orthogonal matrix that has the following property: T = QTAQ
DenseMatrix64F	TridiagonalDecompositionBlock.getQ(DenseMatrix64F Q, boolean transposed)
DenseMatrix64F	TridiagonalDecompositionHouseholder.getT(DenseMatrix64F T) Extracts the tridiagonal matrix found in the decomposition.
DenseMatrix64F	TridiagonalDecompositionHouseholderOrig.getT(DenseMatrix64F T) Extracts the tridiagonal matrix found in the decomposition.
DenseMatrix64F	TridiagonalDecompositionBlock.getT(DenseMatrix64F T)
void	TridiagonalDecompositionHouseholder.init(DenseMatrix64F A) If needed declares and sets up internal data structures.
void	TridiagonalDecompositionHouseholderOrig.init(DenseMatrix64F A) If needed declares and sets up internal data structures.

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.lu

Fields in org.ejml.alg.dense.decomposition.lu declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	LUDecompositionBase.LU

Methods in org.ejml.alg.dense.decomposition.lu that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	LUDecompositionBase.getLower(DenseMatrix64F lower) Writes the lower triangular matrix into the specified matrix.
DenseMatrix64F	LUDecompositionBase.getLU()
DenseMatrix64F	LUDecompositionBase.getPivot(DenseMatrix64F pivot)
DenseMatrix64F	LUDecompositionBase.getUpper(DenseMatrix64F upper) Writes the upper triangular matrix into the specified matrix.

Methods in org.ejml.alg.dense.decomposition.lu with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	LUDecompositionAlt.decompose(DenseMatrix64F a) This is a modified version of what was found in the JAMA package.
protected void	LUDecompositionBase.decomposeCommonInit(DenseMatrix64F a)
DenseMatrix64F	LUDecompositionBase.getLower(DenseMatrix64F lower) Writes the lower triangular matrix into the specified matrix.
DenseMatrix64F	LUDecompositionBase.getPivot(DenseMatrix64F pivot)
DenseMatrix64F	LUDecompositionBase.getUpper(DenseMatrix64F upper) Writes the upper triangular matrix into the specified matrix.

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.qr

Fields in org.ejml.alg.dense.decomposition.qr declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	QRDecompositionHouseholder.QR Where the Q and R matrices are stored.
protected DenseMatrix64F	QRDecompositionHouseholderTran.QR Where the Q and R matrices are stored.

Methods in org.ejml.alg.dense.decomposition.qr that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	QRColPivDecompositionHouseholderColumn.getPivotMatrix(DenseMatrix64F P)
DenseMatrix64F	QRDecompositionBlock64.getQ(DenseMatrix64F Q, boolean compact)
DenseMatrix64F	QRColPivDecompositionHouseholderColumn.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the information stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholder.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the imformation stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholderColumn.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the imformation stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholderTran.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the information stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholder.getQR() Returns a single matrix which contains the combined values of Q and R.
DenseMatrix64F	QRDecompositionHouseholderTran.getQR() Inner matrix that stores the decomposition
DenseMatrix64F	QRDecompositionBlock64.getR(DenseMatrix64F R, boolean compact)
DenseMatrix64F	QRDecompositionHouseholder.getR(DenseMatrix64F R, boolean compact) Returns an upper triangular matrix which is the R in the QR decomposition.
DenseMatrix64F	QRDecompositionHouseholderColumn.getR(DenseMatrix64F R, boolean compact) Returns an upper triangular matrix which is the R in the QR decomposition.
DenseMatrix64F	QRDecompositionHouseholderTran.getR(DenseMatrix64F R, boolean compact) Returns an upper triangular matrix which is the R in the QR decomposition.
DenseMatrix64F	QrUpdate.getU_tran()

Methods in org.ejml.alg.dense.decomposition.qr with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	QrUpdate.addRow(DenseMatrix64F Q, DenseMatrix64F R, double[] row, int rowIndex, boolean resizeR) Adjusts the values of the Q and R matrices to take in account the effects of inserting a row to the 'A' matrix at the specified location.
void	QRDecompositionHouseholderTran.applyQ(DenseMatrix64F A) A = Q*A
void	QRDecompositionHouseholderTran.applyTranQ(DenseMatrix64F A) A = QT*A
protected void	QRDecompositionHouseholder.commonSetup(DenseMatrix64F A) This function performs sanity check on the input for decompose and sets up the QR matrix.
protected void	QRDecompositionHouseholderColumn.convertToColumnMajor(DenseMatrix64F A) Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.
boolean	QRColPivDecompositionHouseholderColumn.decompose(DenseMatrix64F A) To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholder.decompose(DenseMatrix64F A) In order to decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderColumn.decompose(DenseMatrix64F A) To decompose the matrix 'A' it must have full rank.
boolean	QRDecompositionHouseholderTran.decompose(DenseMatrix64F A) To decompose the matrix 'A' it must have full rank.
void	QrUpdate.deleteRow(DenseMatrix64F Q, DenseMatrix64F 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.
DenseMatrix64F	QRColPivDecompositionHouseholderColumn.getPivotMatrix(DenseMatrix64F P)
DenseMatrix64F	QRDecompositionBlock64.getQ(DenseMatrix64F Q, boolean compact)
DenseMatrix64F	QRColPivDecompositionHouseholderColumn.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the information stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholder.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the imformation stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholderColumn.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the imformation stored in the QR matrix.
DenseMatrix64F	QRDecompositionHouseholderTran.getQ(DenseMatrix64F Q, boolean compact) Computes the Q matrix from the information stored in the QR matrix.
DenseMatrix64F	QRDecompositionBlock64.getR(DenseMatrix64F R, boolean compact)
DenseMatrix64F	QRDecompositionHouseholder.getR(DenseMatrix64F R, boolean compact) Returns an upper triangular matrix which is the R in the QR decomposition.
DenseMatrix64F	QRDecompositionHouseholderColumn.getR(DenseMatrix64F R, boolean compact) Returns an upper triangular matrix which is the R in the QR decomposition.
DenseMatrix64F	QRDecompositionHouseholderTran.getR(DenseMatrix64F R, boolean compact) Returns an upper triangular matrix which is the R in the QR decomposition.
static void	QrHelperFunctions.rank1UpdateMultL(DenseMatrix64F A, double[] u, double gamma, int colA0, int w0, int w1) Performs a rank-1 update operation on the submatrix specified by w with the multiply on the left. A = A(I - γ*u*uT)
static void	QrHelperFunctions.rank1UpdateMultR(DenseMatrix64F A, double[] u, double gamma, int colA0, int w0, int w1, double[] _temp) Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right. A = (I - γ*u*uT)*A
static void	QrHelperFunctions.rank1UpdateMultR(DenseMatrix64F A, double[] u, int offsetU, double gamma, int colA0, int w0, int w1, double[] _temp)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.svd

Methods in org.ejml.alg.dense.decomposition.svd that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	SafeSvd.getU(DenseMatrix64F U, boolean transposed)
DenseMatrix64F	SvdImplicitQrDecompose.getU(DenseMatrix64F U, boolean transpose)
DenseMatrix64F	SafeSvd.getV(DenseMatrix64F V, boolean transposed)
DenseMatrix64F	SvdImplicitQrDecompose.getV(DenseMatrix64F V, boolean transpose)
DenseMatrix64F	SafeSvd.getW(DenseMatrix64F W)
DenseMatrix64F	SvdImplicitQrDecompose.getW(DenseMatrix64F W)

Methods in org.ejml.alg.dense.decomposition.svd with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
boolean	SafeSvd.decompose(DenseMatrix64F orig)
boolean	SvdImplicitQrDecompose.decompose(DenseMatrix64F orig)
DenseMatrix64F	SafeSvd.getU(DenseMatrix64F U, boolean transposed)
DenseMatrix64F	SvdImplicitQrDecompose.getU(DenseMatrix64F U, boolean transpose)
DenseMatrix64F	SafeSvd.getV(DenseMatrix64F V, boolean transposed)
DenseMatrix64F	SvdImplicitQrDecompose.getV(DenseMatrix64F V, boolean transpose)
DenseMatrix64F	SafeSvd.getW(DenseMatrix64F W)
DenseMatrix64F	SvdImplicitQrDecompose.getW(DenseMatrix64F W)

Constructor parameters in org.ejml.alg.dense.decomposition.svd with type arguments of type DenseMatrix64F

Constructor and Description
SafeSvd(SingularValueDecomposition<DenseMatrix64F> alg)

Uses of DenseMatrix64F in org.ejml.alg.dense.decomposition.svd.implicitqr

Fields in org.ejml.alg.dense.decomposition.svd.implicitqr declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	SvdImplicitQrAlgorithm.Ut
protected DenseMatrix64F	SvdImplicitQrAlgorithm.Vt

Methods in org.ejml.alg.dense.decomposition.svd.implicitqr that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	SvdImplicitQrAlgorithm.getUt()
DenseMatrix64F	SvdImplicitQrAlgorithm.getVt()

Methods in org.ejml.alg.dense.decomposition.svd.implicitqr with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	SvdImplicitQrAlgorithm.setUt(DenseMatrix64F ut)
void	SvdImplicitQrAlgorithm.setVt(DenseMatrix64F vt)
protected void	SvdImplicitQrAlgorithm.updateRotator(DenseMatrix64F Q, int m, int n, double c, double s) Multiplied a transpose orthogonal matrix Q by the specified rotator.

Uses of DenseMatrix64F in org.ejml.alg.dense.linsol

Fields in org.ejml.alg.dense.linsol declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	LinearSolverAbstract.A

Methods in org.ejml.alg.dense.linsol that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	LinearSolverAbstract.getA()

Methods in org.ejml.alg.dense.linsol with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
protected void	LinearSolverAbstract._setA(DenseMatrix64F A)
void	LinearSolverAbstract.invert(DenseMatrix64F A_inv)
void	LinearSolverUnrolled.invert(DenseMatrix64F A_inv)
void	WrapLinearSolverBlock64.invert(DenseMatrix64F A_inv) Creates a block matrix the same size as A_inv, inverts the matrix and copies the results back onto A_inv.
static void	InvertUsingSolve.invert(LinearSolver<DenseMatrix64F> solver, RowD1Matrix64F A, DenseMatrix64F A_inv)
static void	InvertUsingSolve.invert(LinearSolver<DenseMatrix64F> solver, RowD1Matrix64F A, DenseMatrix64F A_inv, DenseMatrix64F storage)
boolean	LinearSolverUnrolled.setA(DenseMatrix64F A)
boolean	WrapLinearSolverBlock64.setA(DenseMatrix64F A) Converts 'A' into a block matrix and call setA() on the block matrix solver.
void	LinearSolverUnrolled.solve(DenseMatrix64F B, DenseMatrix64F X)
void	WrapLinearSolverBlock64.solve(DenseMatrix64F B, DenseMatrix64F X) Converts B and X into block matrices and calls the block matrix solve routine.

Method parameters in org.ejml.alg.dense.linsol with type arguments of type DenseMatrix64F

Modifier and Type	Method and Description
static void	InvertUsingSolve.invert(LinearSolver<DenseMatrix64F> solver, RowD1Matrix64F A, DenseMatrix64F A_inv)
static void	InvertUsingSolve.invert(LinearSolver<DenseMatrix64F> solver, RowD1Matrix64F A, DenseMatrix64F A_inv, DenseMatrix64F storage)

Uses of DenseMatrix64F in org.ejml.alg.dense.linsol.chol

Methods in org.ejml.alg.dense.linsol.chol with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	LinearSolverChol.invert(DenseMatrix64F inv) Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
void	LinearSolverCholLDL.invert(DenseMatrix64F inv) Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.
boolean	LinearSolverChol.setA(DenseMatrix64F A)
boolean	LinearSolverCholLDL.setA(DenseMatrix64F A)
void	LinearSolverCholBlock64.solve(DenseMatrix64F B, DenseMatrix64F X) Only converts the B matrix and passes that onto solve.
void	LinearSolverChol.solve(DenseMatrix64F B, DenseMatrix64F 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.solve(DenseMatrix64F B, DenseMatrix64F X) Using the decomposition, finds the value of 'X' in the linear equation below: A*x = b where A has dimension of n by n, x and b are n by m dimension.

Uses of DenseMatrix64F in org.ejml.alg.dense.linsol.lu

Methods in org.ejml.alg.dense.linsol.lu with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	LinearSolverLuBase.improveSol(DenseMatrix64F b, DenseMatrix64F x) This attempts to improve upon the solution generated by account for numerical imprecisions.
void	LinearSolverLuBase.invert(DenseMatrix64F A_inv)
boolean	LinearSolverLuBase.setA(DenseMatrix64F A)
boolean	LinearSolverLuKJI.setA(DenseMatrix64F A)
void	LinearSolverLuKJI.solve(DenseMatrix64F b, DenseMatrix64F x) An other implementation of solve() that processes the matrices in a different order.
void	LinearSolverLu.solve(DenseMatrix64F b, DenseMatrix64F x)

Uses of DenseMatrix64F in org.ejml.alg.dense.linsol.qr

Fields in org.ejml.alg.dense.linsol.qr declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	BaseLinearSolverQrp.I
protected DenseMatrix64F	LinearSolverQr.Q
protected DenseMatrix64F	BaseLinearSolverQrp.R
protected DenseMatrix64F	LinearSolverQr.R
protected DenseMatrix64F	BaseLinearSolverQrp.R11
protected DenseMatrix64F	BaseLinearSolverQrp.Y

Fields in org.ejml.alg.dense.linsol.qr with type parameters of type DenseMatrix64F

Modifier and Type	Field and Description
protected LinearSolver<DenseMatrix64F>	BaseLinearSolverQrp.internalSolver

Methods in org.ejml.alg.dense.linsol.qr that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	AdjLinearSolverQr.getA() Compute the A matrix from the Q and R matrices.

Methods in org.ejml.alg.dense.linsol.qr with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	BaseLinearSolverQrp.invert(DenseMatrix64F A_inv)
boolean	LinearSolverQrHouseCol.setA(DenseMatrix64F A) Performs QR decomposition on A
boolean	BaseLinearSolverQrp.setA(DenseMatrix64F A)
boolean	LinearSolverQrHouse.setA(DenseMatrix64F A) Performs QR decomposition on A
boolean	LinearSolverQr.setA(DenseMatrix64F A) Performs QR decomposition on A
boolean	LinearSolverQrHouseTran.setA(DenseMatrix64F A) Performs QR decomposition on A
boolean	SolvePseudoInverseQrp.setA(DenseMatrix64F A)
void	LinearSolverQrHouseCol.solve(DenseMatrix64F B, DenseMatrix64F X) Solves for X using the QR decomposition.
void	LinearSolverQrpHouseCol.solve(DenseMatrix64F B, DenseMatrix64F X)
void	LinearSolverQrHouse.solve(DenseMatrix64F B, DenseMatrix64F X) Solves for X using the QR decomposition.
void	LinearSolverQr.solve(DenseMatrix64F B, DenseMatrix64F X) Solves for X using the QR decomposition.
void	LinearSolverQrHouseTran.solve(DenseMatrix64F B, DenseMatrix64F X) Solves for X using the QR decomposition.
void	SolvePseudoInverseQrp.solve(DenseMatrix64F B, DenseMatrix64F X)
protected void	BaseLinearSolverQrp.upgradeSolution(DenseMatrix64F X) Upgrades the basic solution to the optimal 2-norm solution.

Constructor parameters in org.ejml.alg.dense.linsol.qr with type arguments of type DenseMatrix64F

Constructor and Description
BaseLinearSolverQrp(QRPDecomposition<DenseMatrix64F> decomposition, boolean norm2Solution) Configures internal parameters.
LinearSolverQr(QRDecomposition<DenseMatrix64F> decomposer) Creates a linear solver that uses QR decomposition.
SolvePseudoInverseQrp(QRPDecomposition<DenseMatrix64F> decomposition, boolean norm2Solution) Configure and provide decomposition

Uses of DenseMatrix64F in org.ejml.alg.dense.linsol.svd

Methods in org.ejml.alg.dense.linsol.svd with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	SolvePseudoInverseSvd.invert(DenseMatrix64F A_inv)
boolean	SolvePseudoInverseSvd.setA(DenseMatrix64F A)
void	SolvePseudoInverseSvd.solve(DenseMatrix64F b, DenseMatrix64F x)

Uses of DenseMatrix64F in org.ejml.alg.dense.misc

Methods in org.ejml.alg.dense.misc with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
static void	ImplCommonOps_DenseMatrix64F.extract(DenseMatrix64F src, int srcY0, int srcX0, DenseMatrix64F dst, int dstY0, int dstX0, int numRows, int numCols)
static void	UnrolledInverseFromMinor.inv(DenseMatrix64F mat, DenseMatrix64F inv)
static void	UnrolledInverseFromMinor.inv2(DenseMatrix64F mat, DenseMatrix64F inv, double scale)
static void	UnrolledInverseFromMinor.inv3(DenseMatrix64F mat, DenseMatrix64F inv, double scale)
static void	UnrolledInverseFromMinor.inv4(DenseMatrix64F mat, DenseMatrix64F inv, double scale)
static void	UnrolledInverseFromMinor.inv5(DenseMatrix64F mat, DenseMatrix64F inv, double scale)
static double	NaiveDeterminant.leibniz(DenseMatrix64F mat) Computes the determinant of the matrix using Leibniz's formula
static double	NaiveDeterminant.recursive(DenseMatrix64F mat) A simple and inefficient algorithm for computing the determinant.
void	RrefGaussJordanRowPivot.reduce(DenseMatrix64F A, int coefficientColumns)
protected static void	RrefGaussJordanRowPivot.swapRows(DenseMatrix64F A, int rowA, int rowB)

Uses of DenseMatrix64F in org.ejml.alg.dense.mult

Methods in org.ejml.alg.dense.mult with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
static void	VectorVectorMult.mult(DenseMatrix64F x, DenseMatrix64F y, DenseMatrix64F A)
static void	VectorVectorMult.rank1Update(double gamma, DenseMatrix64F A, DenseMatrix64F u, DenseMatrix64F w) Performs a rank one update on matrix A using vectors u and w.
static void	VectorVectorMult.rank1Update(double gamma, DenseMatrix64F A, DenseMatrix64F u, DenseMatrix64F w, DenseMatrix64F B) Performs a rank one update on matrix A using vectors u and w.

Uses of DenseMatrix64F in org.ejml.data

Fields in org.ejml.data declared as DenseMatrix64F

Modifier and Type	Field and Description
DenseMatrix64F	Eigenpair.vector

Methods in org.ejml.data that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	DenseMatrix64F.copy() Creates and returns a matrix which is idential to this one.
static DenseMatrix64F	DenseMatrix64F.wrap(int numRows, int numCols, double[] data) Creates a new DenseMatrix64F around the provided data.

Methods in org.ejml.data with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
void	DenseMatrix64F.setReshape(DenseMatrix64F b) Sets the value and shape of this matrix to be identical to the specified matrix.

Constructors in org.ejml.data with parameters of type DenseMatrix64F

Constructor and Description
DenseMatrix64F(DenseMatrix64F orig) Creates a new matrix which is equivalent to the provided matrix.
Eigenpair(double value, DenseMatrix64F vector)

Uses of DenseMatrix64F in org.ejml.factory

Classes in org.ejml.factory with type parameters of type DenseMatrix64F

Modifier and Type	Interface and Description
interface	ReducedRowEchelonForm<T extends DenseMatrix64F> An augmented system matrix is said to be in reduced row echelon form (RREF) if the following are true:

Methods in org.ejml.factory that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	QRPDecomposition.getPivotMatrix(DenseMatrix64F P) Creates the pivot matrix.

Methods in org.ejml.factory that return types with arguments of type DenseMatrix64F

Modifier and Type	Method and Description
static CholeskyDecomposition<DenseMatrix64F>	DecompositionFactory.chol(int matrixSize, boolean lower) Returns a CholeskyDecomposition that has been optimized for the specified matrix size.
static EigenDecomposition<DenseMatrix64F>	DecompositionFactory.eig(int matrixSize, boolean needVectors) Returns an EigenDecomposition that has been optimized for the specified matrix size.
static EigenDecomposition<DenseMatrix64F>	DecompositionFactory.eig(int matrixSize, boolean computeVectors, boolean isSymmetric) Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.
static LinearSolver<DenseMatrix64F>	LinearSolverFactory.general(int numRows, int numCols) Creates a general purpose solver.
static LinearSolver<DenseMatrix64F>	LinearSolverFactory.leastSquares(int numRows, int numCols) Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.
static LinearSolver<DenseMatrix64F>	LinearSolverFactory.leastSquaresQrPivot(boolean computeNorm2, boolean computeQ) Linear solver which uses QR pivot decomposition.
static LinearSolver<DenseMatrix64F>	LinearSolverFactory.linear(int matrixSize) Creates a solver for linear systems.
static LUDecomposition<DenseMatrix64F>	DecompositionFactory.lu(int numRows, int numCol) Returns a LUDecomposition that has been optimized for the specified matrix size.
static LinearSolver<DenseMatrix64F>	LinearSolverFactory.pseudoInverse(boolean useSVD) Returns a solver which uses the pseudo inverse.
static QRDecomposition<DenseMatrix64F>	DecompositionFactory.qr(int numRows, int numCols) Returns a QRDecomposition that has been optimized for the specified matrix size.
static QRPDecomposition<DenseMatrix64F>	DecompositionFactory.qrp(int numRows, int numCols) Returns a QRPDecomposition that has been optimized for the specified matrix size.
static SingularValueDecomposition<DenseMatrix64F>	DecompositionFactory.svd(int numRows, int numCols, boolean needU, boolean needV, boolean compact) Returns a SingularValueDecomposition that has been optimized for the specified matrix size.
static LinearSolver<DenseMatrix64F>	LinearSolverFactory.symmPosDef(int matrixWidth) Creates a solver for symmetric positive definite matrices.
static TridiagonalSimilarDecomposition<DenseMatrix64F>	DecompositionFactory.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.factory with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	QRPDecomposition.getPivotMatrix(DenseMatrix64F P) Creates the pivot matrix.
static double	DecompositionFactory.quality(DenseMatrix64F orig, DenseMatrix64F U, DenseMatrix64F W, DenseMatrix64F Vt)
static double	DecompositionFactory.quality(DenseMatrix64F orig, EigenDecomposition<DenseMatrix64F> eig) Computes a metric which measures the the quality of an eigen value decomposition.
static double	DecompositionFactory.quality(DenseMatrix64F orig, SingularValueDecomposition<DenseMatrix64F> svd) Computes a metric which measures the the quality of a singular value decomposition.

Method parameters in org.ejml.factory with type arguments of type DenseMatrix64F

Modifier and Type	Method and Description
static double	DecompositionFactory.quality(DenseMatrix64F orig, EigenDecomposition<DenseMatrix64F> eig) Computes a metric which measures the the quality of an eigen value decomposition.
static double	DecompositionFactory.quality(DenseMatrix64F orig, SingularValueDecomposition<DenseMatrix64F> svd) Computes a metric which measures the the quality of a singular value decomposition.

Uses of DenseMatrix64F in org.ejml.ops

Methods in org.ejml.ops that return DenseMatrix64F

Modifier and Type	Method and Description
static DenseMatrix64F[]	CommonOps.columnsToVector(DenseMatrix64F A, DenseMatrix64F[] v) Converts the columns in a matrix into a set of vectors.
static DenseMatrix64F	SpecializedOps.copyChangeRow(int[] order, DenseMatrix64F src, DenseMatrix64F dst) Creates a copy of a matrix but swaps the rows as specified by the order array.
static DenseMatrix64F	SpecializedOps.copyTriangle(DenseMatrix64F src, DenseMatrix64F dst, boolean upper) Copies just the upper or lower triangular portion of a matrix.
static DenseMatrix64F	RandomMatrices.createDiagonal(int N, double min, double max, Random rand) Creates a random diagonal matrix where the diagonal elements are selected from a uniform distribution that goes from min to max.
static DenseMatrix64F	RandomMatrices.createDiagonal(int numRows, int numCols, double min, double max, Random rand) Creates a random matrix where all elements are zero but diagonal elements.
static DenseMatrix64F	RandomMatrices.createEigenvaluesSymm(int num, Random rand, double... eigenvalues) Creates a new random symmetric matrix that will have the specified real eigenvalues.
static DenseMatrix64F	RandomMatrices.createInSpan(DenseMatrix64F[] span, double min, double max, Random rand) Creates a random vector that is inside the specified span.
static DenseMatrix64F	EigenOps.createMatrixD(EigenDecomposition eig) A diagonal matrix where real diagonal element contains a real eigenvalue.
static DenseMatrix64F	EigenOps.createMatrixV(EigenDecomposition<DenseMatrix64F> eig) Puts all the real eigenvectors into the columns of a matrix.
static DenseMatrix64F	RandomMatrices.createOrthogonal(int numRows, int numCols, Random rand) Creates a random orthogonal or isometric matrix, depending on the number of rows and columns.
static DenseMatrix64F	RandomMatrices.createRandom(int numRow, int numCol, double min, double max, Random rand) Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.
static DenseMatrix64F	RandomMatrices.createRandom(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 DenseMatrix64F	SpecializedOps.createReflector(DenseMatrix64F u, double gamma) Creates a reflector from the provided vector and gamma. Q = I - γ u uT
static DenseMatrix64F	SpecializedOps.createReflector(RowD1Matrix64F u) Creates a reflector from the provided vector. Q = I - γ u uT γ = 2/||u||2
static DenseMatrix64F	RandomMatrices.createSingularValues(int numRows, int numCols, Random rand, double... sv) Creates a random matrix which will have the provided singular values.
static DenseMatrix64F[]	RandomMatrices.createSpan(int dimen, int numVectors, Random rand) Creates a randomly generated set of orthonormal vectors.
static DenseMatrix64F	RandomMatrices.createSymmetric(int length, double min, double max, Random rand) Creates a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
static DenseMatrix64F	RandomMatrices.createSymmPosDef(int width, Random rand) Creates a random symmetric positive definite matrix.
static DenseMatrix64F	RandomMatrices.createUpperTriangle(int dimen, int hessenberg, double min, double max, Random rand) Creates an upper triangular matrix whose values are selected from a uniform distribution.
static DenseMatrix64F	CommonOps.diag(DenseMatrix64F ret, int width, double... diagEl)
static DenseMatrix64F	CommonOps.diag(double... diagEl) Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero. aij = 0 if i ≤ j aij = diag[i] if i = j
static DenseMatrix64F	CommonOps.diagR(int numRows, int numCols, double... diagEl) Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero. aij = 0 if i ≤ j aij = diag[i] if i = j
static DenseMatrix64F	CommonOps.extract(DenseMatrix64F src, int srcY0, int srcY1, int srcX0, int srcX1) Creates a new matrix which is the specified submatrix of 'src'
static DenseMatrix64F	CommonOps.identity(int width) Creates an identity matrix of the specified size. aij = 0 if i ≠ j aij = 1 if i = j
static DenseMatrix64F	CommonOps.identity(int numRows, int numCols) Creates a rectangular matrix which is zero except along the diagonals.
static DenseMatrix64F	MatrixIO.loadCSV(String fileName) Reads a matrix in which has been encoded using a Column Space Value (CSV) file format.
static DenseMatrix64F	MatrixIO.loadCSV(String fileName, int numRows, int numCols) Reads a matrix in which has been encoded using a Column Space Value (CSV) file format.
static DenseMatrix64F	SingularOps.nullSpace(SingularValueDecomposition<DenseMatrix64F> svd, DenseMatrix64F nullSpace, double tol) Returns the null-space from the singular value decomposition.
static DenseMatrix64F	SingularOps.nullVector(SingularValueDecomposition<DenseMatrix64F> svd, boolean isRight, DenseMatrix64F nullVector) The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static DenseMatrix64F	SpecializedOps.pivotMatrix(DenseMatrix64F ret, int[] pivots, int numPivots, boolean transposed) Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
DenseMatrix64F	ReadMatrixCsv.read() Reads in a DenseMatrix64F from the IO stream.
DenseMatrix64F	ReadMatrixCsv.read(int numRows, int numCols) Reads in a DenseMatrix64F from the IO stream where the user specifies the matrix dimensions.
static DenseMatrix64F[]	CommonOps.rowsToVector(DenseMatrix64F A, DenseMatrix64F[] v) Converts the rows in a matrix into a set of vectors.
static DenseMatrix64F	CommonOps.rref(DenseMatrix64F A, int numUnknowns, DenseMatrix64F reduced) Puts the augmented system matrix into reduced row echelon form (RREF).
static DenseMatrix64F[]	SpecializedOps.splitIntoVectors(RowD1Matrix64F A, boolean column) Takes a matrix and splits it into a set of row or column vectors.
static DenseMatrix64F	CommonOps.sumCols(DenseMatrix64F input, DenseMatrix64F 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 DenseMatrix64F	CommonOps.sumRows(DenseMatrix64F input, DenseMatrix64F 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 DenseMatrix64F	CommonOps.transpose(DenseMatrix64F A, DenseMatrix64F A_tran) Transposes matrix 'a' and stores the results in 'b': bij = aji where 'b' is the transpose of 'a'.

Methods in org.ejml.ops with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
static void	RandomMatrices.addRandom(DenseMatrix64F A, double min, double max, Random rand) Adds random values to each element in the matrix from an uniform distribution. aij = aij + U(min,max)
static double[]	EigenOps.boundLargestEigenValue(DenseMatrix64F A, double[] bound) Generates a bound for the largest eigen value of the provided matrix using Perron-Frobenius theorem.
static void	SingularOps.checkSvdMatrixSize(DenseMatrix64F U, boolean tranU, DenseMatrix64F W, DenseMatrix64F V, boolean tranV) Checks to see if all the provided matrices are the expected size for an SVD.
static DenseMatrix64F[]	CommonOps.columnsToVector(DenseMatrix64F A, DenseMatrix64F[] v) Converts the columns in a matrix into a set of vectors.
static DenseMatrix64F[]	CommonOps.columnsToVector(DenseMatrix64F A, DenseMatrix64F[] v) Converts the columns in a matrix into a set of vectors.
static double	EigenOps.computeEigenValue(DenseMatrix64F A, DenseMatrix64F eigenVector) Given matrix A and an eigen vector of A, compute the corresponding eigen value.
static Eigenpair	EigenOps.computeEigenVector(DenseMatrix64F A, double eigenvalue) Given an eigenvalue it computes an eigenvector using inverse iteration: for i=1:MAX { (A - μI)z(i) = q(i-1) q(i) = z(i) / ||z(i)|| λ(i) = q(i)T A q(i) }
static double	NormOps.conditionP(DenseMatrix64F A, double p) The condition number of a matrix is used to measure the sensitivity of the linear system Ax=b.
static double	NormOps.conditionP2(DenseMatrix64F A) The condition p = 2 number of a matrix is used to measure the sensitivity of the linear system Ax=b.
static DenseMatrix64F	SpecializedOps.copyChangeRow(int[] order, DenseMatrix64F src, DenseMatrix64F dst) Creates a copy of a matrix but swaps the rows as specified by the order array.
static DenseMatrix64F	SpecializedOps.copyTriangle(DenseMatrix64F src, DenseMatrix64F dst, boolean upper) Copies just the upper or lower triangular portion of a matrix.
static DenseMatrix64F	RandomMatrices.createInSpan(DenseMatrix64F[] span, double min, double max, Random rand) Creates a random vector that is inside the specified span.
static DenseMatrix64F	SpecializedOps.createReflector(DenseMatrix64F u, double gamma) Creates a reflector from the provided vector and gamma. Q = I - γ u uT
static void	RandomMatrices.createSymmetric(DenseMatrix64F A, double min, double max, Random rand) Sets the provided square matrix to be a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.
static void	SingularOps.descendingOrder(DenseMatrix64F U, boolean tranU, DenseMatrix64F W, DenseMatrix64F V, boolean tranV) Adjusts the matrices so that the singular values are in descending order.
static void	SingularOps.descendingOrder(DenseMatrix64F U, boolean tranU, double[] singularValues, int numSingularValues, DenseMatrix64F V, boolean tranV) Similar to SingularOps.descendingOrder(org.ejml.data.DenseMatrix64F, boolean, org.ejml.data.DenseMatrix64F, org.ejml.data.DenseMatrix64F, boolean) but takes in an array of singular values instead.
static double	CommonOps.det(DenseMatrix64F mat) Returns the determinant of the matrix.
static DenseMatrix64F	CommonOps.diag(DenseMatrix64F ret, int width, double... diagEl)
static Eigenpair	EigenOps.dominantEigenpair(DenseMatrix64F A) Computes the dominant eigen vector for a matrix.
static DenseMatrix64F	CommonOps.extract(DenseMatrix64F src, int srcY0, int srcY1, int srcX0, int srcX1) Creates a new matrix which is the specified submatrix of 'src'
static void	CommonOps.extractDiag(DenseMatrix64F src, DenseMatrix64F dst) Extracts the diagonal elements 'src' write it to the 'dst' vector.
static double	NormOps.fastNormP(DenseMatrix64F A, double p) An unsafe but faster version of NormOps.normP(org.ejml.data.DenseMatrix64F, double) that calls routines which are faster but more prone to overflow/underflow problems.
static double	NormOps.fastNormP2(DenseMatrix64F A) Computes the p=2 norm.
static double	NormOps.inducedP1(DenseMatrix64F A) Computes the induced p = 1 matrix norm. ||A||1= max(j=1 to n; sum(i=1 to m; |aij|))
static double	NormOps.inducedP2(DenseMatrix64F A) Computes the induced p = 2 matrix norm, which is the largest singular value.
static double	NormOps.inducedPInf(DenseMatrix64F A) Induced matrix p = infinity norm. ||A||∞ = max(i=1 to m; sum(j=1 to n; |aij|))
static boolean	CovarianceOps.invert(DenseMatrix64F cov) Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
static boolean	CommonOps.invert(DenseMatrix64F mat) Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix. a = a-1
static boolean	CovarianceOps.invert(DenseMatrix64F cov, DenseMatrix64F cov_inv) Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.
static boolean	CommonOps.invert(DenseMatrix64F mat, DenseMatrix64F result) Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.
static boolean	MatrixFeatures.isConstantVal(DenseMatrix64F mat, double val, double tol) Checks to see if every value in the matrix is the specified value.
static boolean	MatrixFeatures.isDiagonalPositive(DenseMatrix64F a) Checks to see if all the diagonal elements in the matrix are positive.
static boolean	MatrixFeatures.isFullRank(DenseMatrix64F a)
static boolean	MatrixFeatures.isIdentity(DenseMatrix64F mat, double tol) Checks to see if the provided matrix is within tolerance to an identity matrix.
static boolean	MatrixFeatures.isInverse(DenseMatrix64F a, DenseMatrix64F b, double tol) Checks to see if the two matrices are inverses of each other.
static boolean	MatrixFeatures.isOrthogonal(DenseMatrix64F Q, double tol) Checks to see if a matrix is orthogonal or isometric.
static boolean	MatrixFeatures.isPositiveDefinite(DenseMatrix64F A) Checks to see if the matrix is positive definite.
static boolean	MatrixFeatures.isPositiveSemidefinite(DenseMatrix64F A) Checks to see if the matrix is positive semidefinite:
static boolean	MatrixFeatures.isRowsLinearIndependent(DenseMatrix64F A) Checks to see if the rows of the provided matrix are linearly independent.
static boolean	MatrixFeatures.isSkewSymmetric(DenseMatrix64F A, double tol) Checks to see if a matrix is skew symmetric with in tolerance: -A = AT or |aij + aji| ≤ tol
static boolean	MatrixFeatures.isSymmetric(DenseMatrix64F m) Returns true if the matrix is perfectly symmetric.
static boolean	MatrixFeatures.isSymmetric(DenseMatrix64F m, double tol) Returns true if the matrix is symmetric within the tolerance.
static boolean	MatrixFeatures.isUpperTriangle(DenseMatrix64F A, int hessenberg, double tol) Checks to see if a matrix is upper triangular or Hessenberg.
static int	CovarianceOps.isValid(DenseMatrix64F cov) Performs a variety of tests to see if the provided matrix is a valid covariance matrix.
static boolean	CovarianceOps.isValidFast(DenseMatrix64F cov) This is a fairly light weight check to see of a covariance matrix is valid.
static void	CommonOps.kron(DenseMatrix64F A, DenseMatrix64F B, DenseMatrix64F 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.
void	CovarianceRandomDraw.next(DenseMatrix64F x) Makes a draw on the distribution.
static void	NormOps.normalizeF(DenseMatrix64F A) Normalizes the matrix such that the Frobenius norm is equal to one.
static double	NormOps.normP(DenseMatrix64F A, double p) Computes either the vector p-norm or the induced matrix p-norm depending on A being a vector or a matrix respectively.
static double	NormOps.normP1(DenseMatrix64F A) Computes the p=1 norm.
static double	NormOps.normP2(DenseMatrix64F A) Computes the p=2 norm.
static double	NormOps.normPInf(DenseMatrix64F A) Computes the p=∞ norm.
static int	MatrixFeatures.nullity(DenseMatrix64F A) Computes the nullity of a matrix using the default tolerance.
static int	MatrixFeatures.nullity(DenseMatrix64F A, double threshold) Computes the nullity of a matrix using the specified tolerance.
static DenseMatrix64F	SingularOps.nullSpace(SingularValueDecomposition<DenseMatrix64F> svd, DenseMatrix64F nullSpace, double tol) Returns the null-space from the singular value decomposition.
static DenseMatrix64F	SingularOps.nullVector(SingularValueDecomposition<DenseMatrix64F> svd, boolean isRight, DenseMatrix64F nullVector) The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static void	CommonOps.pinv(DenseMatrix64F A, DenseMatrix64F invA) Computes the Moore-Penrose pseudo-inverse: pinv(A) = (ATA)-1 AT or pinv(A) = AT(AAT)-1
static DenseMatrix64F	SpecializedOps.pivotMatrix(DenseMatrix64F ret, int[] pivots, int numPivots, boolean transposed) Creates a pivot matrix that exchanges the rows in a matrix: A' = P*A
static void	CovarianceOps.randomVector(DenseMatrix64F cov, DenseMatrix64F vector, Random rand) Sets vector to a random value based upon a zero-mean multivariate Gaussian distribution with covariance 'cov'.
static int	MatrixFeatures.rank(DenseMatrix64F A) Computes the rank of a matrix using a default tolerance.
static int	MatrixFeatures.rank(DenseMatrix64F A, double threshold) Computes the rank of a matrix using the specified tolerance.
static DenseMatrix64F[]	CommonOps.rowsToVector(DenseMatrix64F A, DenseMatrix64F[] v) Converts the rows in a matrix into a set of vectors.
static DenseMatrix64F[]	CommonOps.rowsToVector(DenseMatrix64F A, DenseMatrix64F[] v) Converts the rows in a matrix into a set of vectors.
static DenseMatrix64F	CommonOps.rref(DenseMatrix64F A, int numUnknowns, DenseMatrix64F reduced) Puts the augmented system matrix into reduced row echelon form (RREF).
static void	RandomMatrices.setRandom(DenseMatrix64F mat, Random rand) Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.
static boolean	CommonOps.solve(DenseMatrix64F a, DenseMatrix64F b, DenseMatrix64F x) Solves for x in the following equation: A*x = b
static DenseMatrix64F	CommonOps.sumCols(DenseMatrix64F input, DenseMatrix64F 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 DenseMatrix64F	CommonOps.sumRows(DenseMatrix64F input, DenseMatrix64F 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 void	CommonOps.transpose(DenseMatrix64F mat) Performs an in-place transpose.
static DenseMatrix64F	CommonOps.transpose(DenseMatrix64F A, DenseMatrix64F 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.ops with type arguments of type DenseMatrix64F

Modifier and Type	Method and Description
static DenseMatrix64F	EigenOps.createMatrixV(EigenDecomposition<DenseMatrix64F> eig) Puts all the real eigenvectors into the columns of a matrix.
static DenseMatrix64F	SingularOps.nullSpace(SingularValueDecomposition<DenseMatrix64F> svd, DenseMatrix64F nullSpace, double tol) Returns the null-space from the singular value decomposition.
static DenseMatrix64F	SingularOps.nullVector(SingularValueDecomposition<DenseMatrix64F> svd, boolean isRight, DenseMatrix64F nullVector) The vector associated will the smallest singular value is returned as the null space of the decomposed system.

Constructors in org.ejml.ops with parameters of type DenseMatrix64F

Constructor and Description
CovarianceRandomDraw(Random rand, DenseMatrix64F cov) Creates a random distribution with the specified mean and covariance.

Uses of DenseMatrix64F in org.ejml.simple

Fields in org.ejml.simple declared as DenseMatrix64F

Modifier and Type	Field and Description
protected DenseMatrix64F	SimpleBase.mat Internal matrix which this is a wrapper around.

Methods in org.ejml.simple that return DenseMatrix64F

Modifier and Type	Method and Description
DenseMatrix64F	SimpleBase.getMatrix() Returns a reference to the matrix that it uses internally.

Methods in org.ejml.simple with parameters of type DenseMatrix64F

Modifier and Type	Method and Description
static SimpleMatrix	SimpleMatrix.wrap(DenseMatrix64F internalMat) Creates a new SimpleMatrix with the specified DenseMatrix64F used as its internal matrix.

Constructors in org.ejml.simple with parameters of type DenseMatrix64F

Constructor and Description
SimpleEVD(DenseMatrix64F mat)
SimpleMatrix(DenseMatrix64F orig) Creates a new SimpleMatrix which is a copy of the DenseMatrix64F.
SimpleSVD(DenseMatrix64F mat, boolean compact)