Uses of Interface
org.ejml.data.Matrix

Packages that use Matrix

Package	Description
org.ejml
org.ejml.concurrency
org.ejml.data
org.ejml.dense.row
org.ejml.interfaces
org.ejml.interfaces.decomposition
org.ejml.interfaces.linsol
org.ejml.masks
org.ejml.ops
org.ejml.simple
org.ejml.simple.ops
org.ejml.sparse
org.ejml.sparse.csc.decomposition.qr

Uses of Matrix in org.ejml

Classes in org.ejml with type parameters of type Matrix

Modifier and Type	Class	Description
class	LinearSolverToSparse<D extends Matrix>	Wrapper which allows a regular linear solver to act like a sparse solver

Methods in org.ejml with type parameters of type Matrix

Modifier and Type	Method	Description
static <S extends Matrix, D extends Matrix> LinearSolver<S,D>	UtilEjml.safe(LinearSolver<S,D> solver)	Wraps a linear solver of any type with a safe solver the ensures inputs are not modified
static <S extends Matrix, D extends Matrix> LinearSolver<S,D>	UtilEjml.safe(LinearSolver<S,D> solver)	Wraps a linear solver of any type with a safe solver the ensures inputs are not modified

Methods in org.ejml with parameters of type Matrix

Modifier and Type	Method	Description
static void	EjmlUnitTests.assertEquals(Matrix A, Matrix B)
static void	EjmlUnitTests.assertShape(Matrix A, int numRows, int numCols)	Checks to see if the matrix has the specified number of rows and columns.
static void	EjmlUnitTests.assertShape(Matrix A, Matrix B)	Checks to see if A and B have the same shape.
static void	UtilEjml.checkSameShape(Matrix a, Matrix b, boolean allowedSameInstance)
static void	UtilEjml.checkSameShape(Matrix a, Matrix b, Matrix c)
static String	UtilEjml.stringShapes(Matrix A, Matrix B)
static String	UtilEjml.stringShapes(Matrix A, Matrix B, Matrix C)

Uses of Matrix in org.ejml.concurrency

Methods in org.ejml.concurrency with parameters of type Matrix

Modifier and Type	Method	Description
static boolean	EjmlConcurrency.useConcurrent(Matrix mat)	Returns true if the operation on the matrix should use the concurrent implementation.

Uses of Matrix in org.ejml.data

Classes in org.ejml.data with type parameters of type Matrix

Modifier and Type	Class	Description
class	Submatrix<M extends Matrix>	Describes a rectangular submatrix.

Subinterfaces of Matrix in org.ejml.data

Modifier and Type	Interface	Description
interface	CMatrix	Interface for all complex 64 bit floating point rectangular matrices.
interface	DMatrix	Interface for all 64F real matrices.
interface	DMatrixFixed	Interface which all fixed sized matrices must implement
interface	DMatrixSparse	High level interface for sparse matrices double types.
interface	FMatrix	Interface for all 64F real matrices.
interface	FMatrixFixed	Interface which all fixed sized matrices must implement
interface	FMatrixSparse	High level interface for sparse matrices float types.
interface	MatrixSparse	High level interface for all sparse matrices
interface	ReshapeMatrix	Matrix which can be reshaped
interface	ZMatrix	Interface for all complex 64 bit floating point rectangular matrices.

Classes in org.ejml.data that implement Matrix

Modifier and Type	Class	Description
class	BMatrixRMaj	Dense matrix composed of boolean values
class	CMatrixD1	A generic abstract class for matrices whose data is stored in a single 1D array of floats.
class	CMatrixRMaj	Dense matrix for complex numbers.
class	DMatrix1Row	Interface for a row-major matrix that uses a single array internally.
class	DMatrix2	Fixed sized vector with 2 elements.
class	DMatrix2x2	Fixed sized 2 by DMatrix2x2 matrix.
class	DMatrix3	Fixed sized vector with 3 elements.
class	DMatrix3x3	Fixed sized 3 by DMatrix3x3 matrix.
class	DMatrix4	Fixed sized vector with 4 elements.
class	DMatrix4x4	Fixed sized 4 by DMatrix4x4 matrix.
class	DMatrix5	Fixed sized vector with 5 elements.
class	DMatrix5x5	Fixed sized 5 by DMatrix5x5 matrix.
class	DMatrix6	Fixed sized vector with 6 elements.
class	DMatrix6x6	Fixed sized 6 by DMatrix6x6 matrix.
class	DMatrixD1	A generic abstract class for matrices whose data is stored in a single 1D array of doubles.
class	DMatrixRBlock	A row-major block matrix declared on to one continuous array.
class	DMatrixRMaj	DMatrixRMaj is a row matrix with real elements that are 64-bit floats.
class	DMatrixSparseCSC	Compressed Column (CC) sparse matrix format.
class	DMatrixSparseTriplet	A sparse matrix format that is designed to act as an intermediate step for other matrix types.
class	FMatrix1Row	Interface for a row-major matrix that uses a single array internally.
class	FMatrix2	Fixed sized vector with 2 elements.
class	FMatrix2x2	Fixed sized 2 by FMatrix2x2 matrix.
class	FMatrix3	Fixed sized vector with 3 elements.
class	FMatrix3x3	Fixed sized 3 by FMatrix3x3 matrix.
class	FMatrix4	Fixed sized vector with 4 elements.
class	FMatrix4x4	Fixed sized 4 by FMatrix4x4 matrix.
class	FMatrix5	Fixed sized vector with 5 elements.
class	FMatrix5x5	Fixed sized 5 by FMatrix5x5 matrix.
class	FMatrix6	Fixed sized vector with 6 elements.
class	FMatrix6x6	Fixed sized 6 by FMatrix6x6 matrix.
class	FMatrixD1	A generic abstract class for matrices whose data is stored in a single 1D array of floats.
class	FMatrixRBlock	A row-major block matrix declared on to one continuous array.
class	FMatrixRMaj	FMatrixRMaj is a row matrix with real elements that are 32-bit floats.
class	FMatrixSparseCSC	Compressed Column (CC) sparse matrix format.
class	FMatrixSparseTriplet	A sparse matrix format that is designed to act as an intermediate step for other matrix types.
class	ZMatrixD1	A generic abstract class for matrices whose data is stored in a single 1D array of doubles.
class	ZMatrixRMaj	Dense matrix for complex numbers.

Fields in org.ejml.data declared as Matrix

Modifier and Type	Field	Description
M	Submatrix.original

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

Modifier and Type	Method	Description
<T extends Matrix> T	BMatrixRMaj.copy()
<T extends Matrix> T	DMatrix2.copy()
<T extends Matrix> T	DMatrix2x2.copy()
<T extends Matrix> T	DMatrix3.copy()
<T extends Matrix> T	DMatrix3x3.copy()
<T extends Matrix> T	DMatrix4.copy()
<T extends Matrix> T	DMatrix4x4.copy()
<T extends Matrix> T	DMatrix5.copy()
<T extends Matrix> T	DMatrix5x5.copy()
<T extends Matrix> T	DMatrix6.copy()
<T extends Matrix> T	DMatrix6x6.copy()
<T extends Matrix> T	DMatrixSparseTriplet.copy()
<T extends Matrix> T	FMatrix2.copy()
<T extends Matrix> T	FMatrix2x2.copy()
<T extends Matrix> T	FMatrix3.copy()
<T extends Matrix> T	FMatrix3x3.copy()
<T extends Matrix> T	FMatrix4.copy()
<T extends Matrix> T	FMatrix4x4.copy()
<T extends Matrix> T	FMatrix5.copy()
<T extends Matrix> T	FMatrix5x5.copy()
<T extends Matrix> T	FMatrix6.copy()
<T extends Matrix> T	FMatrix6x6.copy()
<T extends Matrix> T	FMatrixSparseTriplet.copy()
<T extends Matrix> T	Matrix.copy()	Creates an exact copy of the matrix
default <T extends Matrix> T	DMatrixFixed.create(int numRows, int numCols)
<T extends Matrix> T	DMatrixRBlock.create(int numRows, int numCols)
<T extends Matrix> T	DMatrixSparseTriplet.create(int numRows, int numCols)
default <T extends Matrix> T	FMatrixFixed.create(int numRows, int numCols)
<T extends Matrix> T	FMatrixRBlock.create(int numRows, int numCols)
<T extends Matrix> T	FMatrixSparseTriplet.create(int numRows, int numCols)
<T extends Matrix> T	Matrix.create(int numRows, int numCols)	Creates a new matrix of the same type with the specified shape
<T extends Matrix> T	DMatrix2.createLike()
<T extends Matrix> T	DMatrix2x2.createLike()
<T extends Matrix> T	DMatrix3.createLike()
<T extends Matrix> T	DMatrix3x3.createLike()
<T extends Matrix> T	DMatrix4.createLike()
<T extends Matrix> T	DMatrix4x4.createLike()
<T extends Matrix> T	DMatrix5.createLike()
<T extends Matrix> T	DMatrix5x5.createLike()
<T extends Matrix> T	DMatrix6.createLike()
<T extends Matrix> T	DMatrix6x6.createLike()
<T extends Matrix> T	DMatrixRBlock.createLike()
<T extends Matrix> T	DMatrixSparseTriplet.createLike()
<T extends Matrix> T	FMatrix2.createLike()
<T extends Matrix> T	FMatrix2x2.createLike()
<T extends Matrix> T	FMatrix3.createLike()
<T extends Matrix> T	FMatrix3x3.createLike()
<T extends Matrix> T	FMatrix4.createLike()
<T extends Matrix> T	FMatrix4x4.createLike()
<T extends Matrix> T	FMatrix5.createLike()
<T extends Matrix> T	FMatrix5x5.createLike()
<T extends Matrix> T	FMatrix6.createLike()
<T extends Matrix> T	FMatrix6x6.createLike()
<T extends Matrix> T	FMatrixRBlock.createLike()
<T extends Matrix> T	FMatrixSparseTriplet.createLike()
<T extends Matrix> T	Matrix.createLike()	Creates a new matrix with the same shape as this matrix

Methods in org.ejml.data that return Matrix

Modifier and Type	Method	Description
Matrix	MatrixType.create(int rows, int cols)

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

Modifier and Type	Method	Description
void	BMatrixRMaj.setTo(Matrix original)
void	CMatrixRMaj.setTo(Matrix original)
void	DMatrix2.setTo(Matrix original)
void	DMatrix2x2.setTo(Matrix original)
void	DMatrix3.setTo(Matrix original)
void	DMatrix3x3.setTo(Matrix original)
void	DMatrix4.setTo(Matrix original)
void	DMatrix4x4.setTo(Matrix original)
void	DMatrix5.setTo(Matrix original)
void	DMatrix5x5.setTo(Matrix original)
void	DMatrix6.setTo(Matrix original)
void	DMatrix6x6.setTo(Matrix original)
void	DMatrixRBlock.setTo(Matrix original)
void	DMatrixRMaj.setTo(Matrix original)
void	DMatrixSparseCSC.setTo(Matrix original)
void	DMatrixSparseTriplet.setTo(Matrix original)
void	FMatrix2.setTo(Matrix original)
void	FMatrix2x2.setTo(Matrix original)
void	FMatrix3.setTo(Matrix original)
void	FMatrix3x3.setTo(Matrix original)
void	FMatrix4.setTo(Matrix original)
void	FMatrix4x4.setTo(Matrix original)
void	FMatrix5.setTo(Matrix original)
void	FMatrix5x5.setTo(Matrix original)
void	FMatrix6.setTo(Matrix original)
void	FMatrix6x6.setTo(Matrix original)
void	FMatrixRBlock.setTo(Matrix original)
void	FMatrixRMaj.setTo(Matrix original)
void	FMatrixSparseCSC.setTo(Matrix original)
void	FMatrixSparseTriplet.setTo(Matrix original)
void	Matrix.setTo(Matrix original)	Sets this matrix to be identical to the 'original' matrix passed in.
void	ZMatrixRMaj.setTo(Matrix original)

Uses of Matrix in org.ejml.dense.row

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

Modifier and Type	Method	Description
static boolean	MatrixFeatures_CDRM.isVector(Matrix mat)	Checks to see if the matrix is a vector or not.
static boolean	MatrixFeatures_DDRM.isVector(Matrix mat)	Checks to see if the matrix is a vector or not.
static boolean	MatrixFeatures_FDRM.isVector(Matrix mat)	Checks to see if the matrix is a vector or not.
static boolean	MatrixFeatures_ZDRM.isVector(Matrix mat)	Checks to see if the matrix is a vector or not.

Uses of Matrix in org.ejml.interfaces

Classes in org.ejml.interfaces with type parameters of type Matrix

Modifier and Type	Interface	Description
interface	SolveNullSpace<T extends Matrix>	Finds the nullspace for a matrix given the number of singular values

Uses of Matrix in org.ejml.interfaces.decomposition

Classes in org.ejml.interfaces.decomposition with type parameters of type Matrix

Modifier and Type	Interface	Description
interface	BidiagonalDecomposition<T extends Matrix>	Computes a matrix decomposition such that: A = U*B*VT where A is m by n, U is orthogonal and m by m, B is an m by n bidiagonal matrix, V is orthogonal and n by n.
interface	BidiagonalDecomposition_F32<T extends Matrix>	Implementation of BidiagonalDecomposition for 32-bit floats
interface	BidiagonalDecomposition_F64<T extends Matrix>	Implementation of BidiagonalDecomposition for 64-bit floats
interface	CholeskyDecomposition<MatrixType extends Matrix>	Cholesky decomposition.
interface	CholeskyDecomposition_F32<MatrixType extends Matrix>	Implementation of CholeskyDecomposition for 32-bit floats.
interface	CholeskyDecomposition_F64<MatrixType extends Matrix>	Implementation of CholeskyDecomposition for 64-bit floats.
interface	CholeskyLDLDecomposition<MatrixType extends Matrix>	Cholesky LDLT decomposition.
interface	CholeskyLDLDecomposition_F32<MatrixType extends Matrix>	Implementation of CholeskyDecomposition for 32-bit floats.
interface	CholeskyLDLDecomposition_F64<MatrixType extends Matrix>	Implementation of CholeskyDecomposition for 64-bit floats.
interface	CholeskySparseDecomposition<MatrixType extends Matrix>
interface	CholeskySparseDecomposition_F32<MatrixType extends Matrix>	Implementation of CholeskySparseDecomposition for 32-bit floats.
interface	CholeskySparseDecomposition_F64<MatrixType extends Matrix>	Implementation of CholeskySparseDecomposition for 64-bit floats.
interface	DecompositionInterface<T extends Matrix>	An interface for performing matrix decompositions.
interface	DecompositionSparseInterface<T extends Matrix>	Decomposition for sparse matrices.
interface	EigenDecomposition<T extends Matrix>	This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
interface	EigenDecomposition_F32<MatrixType extends Matrix>	Implementation of EigenDecomposition for 32-bit floats
interface	EigenDecomposition_F64<MatrixType extends Matrix>	Implementation of EigenDecomposition for 64-bit floats
interface	LUDecomposition<T extends Matrix>	LU Decomposition refactors the original matrix such that: PT*L*U = A where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A is the original matrix.
interface	LUDecomposition_F32<T extends Matrix>	Implementation of LUDecomposition for 32-bit numbers
interface	LUDecomposition_F64<T extends Matrix>	Implementation of LUDecomposition for 64-bit numbers
interface	LUSparseDecomposition<MatrixType extends Matrix>
interface	LUSparseDecomposition_F32<T extends Matrix>	Implementation of LUSparseDecomposition for 32-bit numbers
interface	LUSparseDecomposition_F64<T extends Matrix>	Implementation of LUSparseDecomposition for 64-bit numbers
interface	QRDecomposition<T extends Matrix>	QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
interface	QRPDecomposition<T extends Matrix>	Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.
interface	QRPDecomposition_F32<T extends Matrix>	Implementation of QRPDecomposition for 32-bit floats
interface	QRPDecomposition_F64<T extends Matrix>	Implementation of QRPDecomposition for 64-bit floats
interface	QRSparseDecomposition<T extends Matrix>	Sparse QRDecomposition
interface	SingularValueDecomposition<T extends Matrix>	This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined as: A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix.
interface	SingularValueDecomposition_F32<T extends Matrix>	Implementation of SingularValueDecomposition for 32-bit floats.
interface	SingularValueDecomposition_F64<T extends Matrix>	Implementation of SingularValueDecomposition for 64-bit floats.
interface	TridiagonalSimilarDecomposition<MatrixType extends Matrix>	Finds the decomposition of a matrix in the form of: A = O*T*OT where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix.
interface	TridiagonalSimilarDecomposition_F32<MatrixType extends Matrix>	Implementation of TridiagonalSimilarDecomposition for 32-bit floats
interface	TridiagonalSimilarDecomposition_F64<MatrixType extends Matrix>	Implementation of TridiagonalSimilarDecomposition for 64-bit floats

Uses of Matrix in org.ejml.interfaces.linsol

Classes in org.ejml.interfaces.linsol with type parameters of type Matrix

Modifier and Type	Interface	Description
interface	LinearSolver<S extends Matrix,D extends Matrix>	Base class for Linear Solvers.
interface	LinearSolver<S extends Matrix,D extends Matrix>	Base class for Linear Solvers.
interface	LinearSolverDense<T extends Matrix>	An implementation of LinearSolverDense solves a linear system or inverts a matrix.
interface	LinearSolverSparse<S extends Matrix,D extends Matrix>
interface	LinearSolverSparse<S extends Matrix,D extends Matrix>
interface	ReducedRowEchelonForm<T extends Matrix>	An augmented system matrix is said to be in reduced row echelon form (RREF) if the following are true:
interface	ReducedRowEchelonForm_F32<T extends Matrix>	Implementation of ReducedRowEchelonForm for 32-bit floats
interface	ReducedRowEchelonForm_F64<T extends Matrix>	Implementation of ReducedRowEchelonForm for 64-bit floats

Uses of Matrix in org.ejml.masks

Methods in org.ejml.masks with parameters of type Matrix

Modifier and Type	Method	Description
void	Mask.compatible(Matrix matrix)	Checks whether the dimensions of the mask and matrix match

Uses of Matrix in org.ejml.ops

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

Modifier and Type	Method	Description
static <T extends Matrix> T	MatrixIO.loadMatlab(String fileName)	Loads a Matrix which has been saved to file using MATLAB's MAT-File Format (Level 5) serialization.
static <T extends Matrix> T	MatrixIO.loadMatlab(String fileName, T output)	Loads a Matrix which has been saved to file using MATLAB's MAT-File Format (Level 5) serialization.
<M extends Matrix> M	ReadMatrixCsv.read32()	Reads in a Matrix from the IO stream.
<M extends Matrix> M	ReadMatrixCsv.read64()	Reads in a Matrix from the IO stream.

Methods in org.ejml.ops that return Matrix

Modifier and Type	Method	Description
static Matrix	ConvertMatrixType.convert(Matrix matrix, MatrixType desired)	Converts a matrix of one data type into another data type.

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

Modifier and Type	Method	Description
static Matrix	ConvertMatrixType.convert(Matrix matrix, MatrixType desired)	Converts a matrix of one data type into another data type.
static boolean	MatrixFeatures.isSquare(Matrix mat)	Checks to see if it is a square matrix.
static boolean	MatrixFeatures.isVector(Matrix mat)	Checks to see if the matrix is a vector or not.
static void	MatrixIO.print(PrintStream out, Matrix mat)
static void	MatrixIO.saveMatlab(Matrix A, String fileName)	Saves a matrix to disk using MATLAB's MAT-File Format (Level 5) binary serialization.

Uses of Matrix in org.ejml.simple

Classes in org.ejml.simple with type parameters of type Matrix

Modifier and Type	Interface	Description
interface	SimpleOperations<T extends Matrix>	High level interface for operations inside of SimpleMatrix for one matrix type.
interface	SimpleSparseOperations<S extends MatrixSparse,D extends Matrix>	Extension to SimpleOperations for sparse matrices

Fields in org.ejml.simple declared as Matrix

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

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

Modifier and Type	Method	Description
<InnerType extends Matrix> InnerType	SimpleBase.getMatrix()	Returns a reference to the matrix that it uses internally.

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

Modifier and Type	Method	Description
void	SimpleOperations.print(PrintStream out, Matrix mat, String format)
protected void	SimpleBase.setMatrix(Matrix mat)
static SimpleMatrix	SimpleMatrix.wrap(Matrix internalMat)	Creates a new SimpleMatrix with the specified Matrix used as its internal matrix.
protected abstract T	SimpleBase.wrapMatrix(Matrix m)
protected SimpleMatrix	SimpleMatrix.wrapMatrix(Matrix m)

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

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

Uses of Matrix in org.ejml.simple.ops

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

Modifier and Type	Method	Description
void	SimpleOperations_CDRM.print(PrintStream out, Matrix mat, String format)
void	SimpleOperations_DDRM.print(PrintStream out, Matrix mat, String format)
void	SimpleOperations_DSCC.print(PrintStream out, Matrix mat, String format)
void	SimpleOperations_FDRM.print(PrintStream out, Matrix mat, String format)
void	SimpleOperations_FSCC.print(PrintStream out, Matrix mat, String format)
void	SimpleOperations_ZDRM.print(PrintStream out, Matrix mat, String format)

Uses of Matrix in org.ejml.sparse

Classes in org.ejml.sparse with type parameters of type Matrix

Modifier and Type	Class	Description
class	ComputePermutation<T extends Matrix>

Uses of Matrix in org.ejml.sparse.csc.decomposition.qr

Classes in org.ejml.sparse.csc.decomposition.qr with type parameters of type Matrix

Modifier and Type	Interface	Description
interface	QrpSparseDecomposition<T extends Matrix>	Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.