Uses of Class
org.ejml.data.Matrix64F

Packages that use Matrix64F

Package	Description
org.ejml.alg.dense.decomposition.bidiagonal
org.ejml.alg.dense.decomposition.hessenberg
org.ejml.alg.dense.linsol
org.ejml.alg.dense.misc
org.ejml.alg.generic
org.ejml.data
org.ejml.factory
org.ejml.ops
org.ejml.simple

Uses of Matrix64F in org.ejml.alg.dense.decomposition.bidiagonal

Classes in org.ejml.alg.dense.decomposition.bidiagonal with type parameters of type Matrix64F

Modifier and Type	Interface and Description
interface	BidiagonalDecomposition<T extends Matrix64F> 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.

Uses of Matrix64F in org.ejml.alg.dense.decomposition.hessenberg

Classes in org.ejml.alg.dense.decomposition.hessenberg with type parameters of type Matrix64F

Modifier and Type	Interface and Description
interface	TridiagonalSimilarDecomposition<MatrixType extends Matrix64F> 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.

Uses of Matrix64F in org.ejml.alg.dense.linsol

Classes in org.ejml.alg.dense.linsol with type parameters of type Matrix64F

Modifier and Type	Class and Description
class	LinearSolverSafe<T extends Matrix64F> Ensures that any linear solver it is wrapped around will never modify the input matrices.

Uses of Matrix64F in org.ejml.alg.dense.misc

Methods in org.ejml.alg.dense.misc with parameters of type Matrix64F

Modifier and Type	Method and Description
static void	ImplCommonOps_Matrix64F.extract(Matrix64F src, int srcY0, int srcX0, Matrix64F dst, int dstY0, int dstX0, int numRows, int numCols)

Uses of Matrix64F in org.ejml.alg.generic

Methods in org.ejml.alg.generic with parameters of type Matrix64F

Modifier and Type	Method and Description
static void	GenericMatrixOps.copy(Matrix64F from, Matrix64F to)
static boolean	GenericMatrixOps.isEquivalent(Matrix64F a, Matrix64F b, double tol)
static boolean	GenericMatrixOps.isEquivalentTriangle(boolean upper, Matrix64F a, Matrix64F b, double tol)
static boolean	GenericMatrixOps.isIdentity(Matrix64F a, double tol) Returns true if the provided matrix is has a value of 1 along the diagonal elements and zero along all the other elements.
static void	GenericMatrixOps.setRandom(Matrix64F a, double min, double max, Random rand)

Uses of Matrix64F in org.ejml.data

Subclasses of Matrix64F in org.ejml.data

Modifier and Type	Class and Description
class	BlockMatrix64F A row-major block matrix declared on to one continuous array.
class	D1Matrix64F A generic abstract class for matrices whose data is stored in a single 1D array of doubles.
class	DenseMatrix64F DenseMatrix64F is a dense matrix with elements that are 64-bit floats (doubles).
class	RowD1Matrix64F Interface for a row-major matrix that uses a single array internally.

Methods in org.ejml.data with type parameters of type Matrix64F

Modifier and Type	Method and Description
abstract <T extends Matrix64F> T	Matrix64F.copy()

Methods in org.ejml.data with parameters of type Matrix64F

Modifier and Type	Method and Description
void	Matrix64F.set(Matrix64F A) Assigns the value of 'this' matrix to be the same as 'A'.

Constructors in org.ejml.data with parameters of type Matrix64F

Constructor and Description
DenseMatrix64F(Matrix64F mat) Creates a new DenseMatrix64F which contains the same information as the provided Matrix64F.
MatrixIterator(Matrix64F a, boolean rowMajor, int minRow, int minCol, int maxRow, int maxCol) Creates a new iterator for traversing through a submatrix inside this matrix.

Uses of Matrix64F in org.ejml.factory

Classes in org.ejml.factory with type parameters of type Matrix64F

Modifier and Type	Interface and Description
interface	CholeskyDecomposition<MatrixType extends Matrix64F> Cholesky decomposition for DenseMatrix64F.
interface	DecompositionInterface<T extends Matrix64F> An interface for performing matrix decompositions on a DenseMatrix64F.
interface	EigenDecomposition<MatrixType extends Matrix64F> This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
interface	LinearSolver<T extends Matrix64F> An implementation of LinearSolver solves a linear system or inverts a matrix.
interface	LUDecomposition<T extends Matrix64F> 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	QRDecomposition<T extends Matrix64F> QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
interface	QRPDecomposition<T extends Matrix64F> Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.
interface	SingularValueDecomposition<T extends Matrix64F> 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.

Methods in org.ejml.factory with type parameters of type Matrix64F

Modifier and Type	Method and Description
static <T extends Matrix64F> boolean	DecompositionFactory.decomposeSafe(DecompositionInterface<T> decomp, T M) A simple convinience function that decomposes the matrix but automatically checks the input ti make sure is not being modified.

Uses of Matrix64F in org.ejml.ops

Methods in org.ejml.ops with type parameters of type Matrix64F

Modifier and Type	Method and Description
static <T extends Matrix64F> T	MatrixIO.loadBin(String fileName) Loads a DeneMatrix64F which has been saved to file using Java binary serialization.

Methods in org.ejml.ops with parameters of type Matrix64F

Modifier and Type	Method and Description
static void	EjmlUnitTests.assertCountable(Matrix64F A) Checks to see if every element in A is countable.
static void	EjmlUnitTests.assertEquals(Matrix64F A, Matrix64F B, double tol) Checks to see if each element in the matrices are within tolerance of each other and countable:
static void	EjmlUnitTests.assertEqualsTrans(Matrix64F A, Matrix64F B, double tol) Checks to see if the transpose of B is equal to A and countable:
static void	EjmlUnitTests.assertEqualsUncountable(Matrix64F A, Matrix64F B, double tol) Checks to see if each element in the matrix is within tolerance of each other:
static void	EjmlUnitTests.assertShape(Matrix64F A, int numRows, int numCols) Checks to see if the matrix has the specified number of rows and columns.
static void	EjmlUnitTests.assertShape(Matrix64F A, Matrix64F B) Checks to see if A and B have the same shape.
static void	CommonOps.extract(Matrix64F src, int srcY0, int srcY1, int srcX0, int srcX1, Matrix64F dst, int dstY0, int dstX0) Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.
static void	CommonOps.insert(Matrix64F src, Matrix64F dest, int destY0, int destX0) Inserts matrix 'src' into matrix 'dest' with the (0,0) of src at (row,col) in dest.
static boolean	MatrixFeatures.isEqualsTriangle(Matrix64F a, Matrix64F b, boolean upper, double tol) Checks to see if each element in the upper or lower triangular portion of the two matrices are within tolerance of each other: tol ≥ |aij - bij|.
static void	MatrixIO.print(PrintStream out, Matrix64F mat)
static void	MatrixIO.print(PrintStream out, Matrix64F mat, int numChar, int precision)
static void	MatrixIO.print(PrintStream out, Matrix64F mat, String format)
static void	MatrixIO.print(PrintStream out, Matrix64F mat, String format, int row0, int row1, int col0, int col1)
static void	MatrixIO.saveBin(Matrix64F A, String fileName) Saves a matrix to disk using Java binary serialization.
static void	MatrixIO.saveCSV(Matrix64F A, String fileName) Saves a matrix to disk using in a Column Space Value (CSV) format.

Uses of Matrix64F in org.ejml.simple

Constructors in org.ejml.simple with parameters of type Matrix64F

Constructor and Description
SimpleMatrix(Matrix64F orig) Creates a new SimpleMatrix which is a copy of the Matrix64F.