Uses of Class
cern.colt.matrix.tdouble.DoubleMatrix2D

Packages that use DoubleMatrix2D

cern.colt.matrix.tdcomplex	Matrix interfaces and factories holding elements of dcomplex data type.
cern.colt.matrix.tdcomplex.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of dcomplex data type.
cern.colt.matrix.tdouble	Matrix interfaces and factories holding elements of double data type.
cern.colt.matrix.tdouble.algo	Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D.
cern.colt.matrix.tdouble.algo.decomposition	Martrix decompositions.
cern.colt.matrix.tdouble.algo.solver	Iterative solvers BiCG - BiConjugate gradients. BiCGstab - BiConjugate gradients stabilized. CG - Conjugate gradients. CGS - Conjugate gradients squared. Chebyshev - The Chebyshev iteration for symmetrical, positive definite matrices. GMRES - Generalized minimal residual using restart. IR - Iterative refinement (Richardson's method). QMR - Quasi-minimal residual. HyBR - Hybrid Bidiagonalization Regularization.
cern.colt.matrix.tdouble.algo.solver.preconditioner	Preconditioners for iterative solvers.
cern.colt.matrix.tdouble.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of double data type.

Uses of DoubleMatrix2D in cern.colt.matrix.tdcomplex

Methods in cern.colt.matrix.tdcomplex that return DoubleMatrix2D

abstract DoubleMatrix2D	DComplexMatrix2D.getImaginaryPart() Returns the imaginary part of this matrix
abstract DoubleMatrix2D	DComplexMatrix2D.getRealPart() Returns the real part of this matrix

Methods in cern.colt.matrix.tdcomplex with parameters of type DoubleMatrix2D

DComplexMatrix2D	DComplexMatrix2D.assignImaginary(DoubleMatrix2D other) Replaces imaginary part of the receiver with the values of another real matrix.
DComplexMatrix2D	DComplexMatrix2D.assignReal(DoubleMatrix2D other) Replaces real part of the receiver with the values of another real matrix.

Uses of DoubleMatrix2D in cern.colt.matrix.tdcomplex.impl

Methods in cern.colt.matrix.tdcomplex.impl that return DoubleMatrix2D

DoubleMatrix2D	SparseDComplexMatrix2D.getImaginaryPart() Returns the imaginary part of this matrix
DoubleMatrix2D	DenseDComplexMatrix2D.getImaginaryPart()
DoubleMatrix2D	SparseDComplexMatrix2D.getRealPart() Returns the real part of this matrix
DoubleMatrix2D	DenseDComplexMatrix2D.getRealPart()

Methods in cern.colt.matrix.tdcomplex.impl with parameters of type DoubleMatrix2D

DComplexMatrix2D	DenseDComplexMatrix2D.assignImaginary(DoubleMatrix2D other)
DComplexMatrix2D	DenseDComplexMatrix2D.assignReal(DoubleMatrix2D other)

Constructors in cern.colt.matrix.tdcomplex.impl with parameters of type DoubleMatrix2D

DenseDComplexMatrix2D(DoubleMatrix2D realPart)
Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.

Uses of DoubleMatrix2D in cern.colt.matrix.tdouble

Methods in cern.colt.matrix.tdouble that return DoubleMatrix2D

DoubleMatrix2D	DoubleFactory2D.appendColumn(DoubleMatrix2D A, DoubleMatrix1D b)
DoubleMatrix2D	DoubleFactory2D.appendColumns(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
DoubleMatrix2D	DoubleFactory2D.appendRow(DoubleMatrix2D A, DoubleMatrix1D b)
DoubleMatrix2D	DoubleFactory2D.appendRows(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.
DoubleMatrix2D	DoubleFactory2D.ascending(int rows, int columns) Constructs a matrix with cells having ascending values.
DoubleMatrix2D	DoubleMatrix2D.assign(double value) Sets all cells to the state specified by value.
DoubleMatrix2D	DoubleMatrix2D.assign(double[] values) Sets all cells to the state specified by values.
DoubleMatrix2D	DoubleMatrix2D.assign(double[][] values) Sets all cells to the state specified by values.
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleFunction f) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleMatrix2D other) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function, IntArrayList rowList, IntArrayList columnList) Assigns the result of a function to all cells with a given indexes
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleProcedure cond, double value) Assigns a value to all cells that satisfy a condition.
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleProcedure cond, DoubleFunction f) Assigns the result of a function to all cells that satisfy a condition.
DoubleMatrix2D	DoubleMatrix2D.assign(float[] values) Sets all cells to the state specified by values.
DoubleMatrix2D	DoubleFactory2D.compose(DoubleMatrix2D[][] parts) Constructs a block matrix made from the given parts.
DoubleMatrix2D	DoubleFactory2D.composeBidiagonal(DoubleMatrix2D A, DoubleMatrix2D B)
DoubleMatrix2D	DoubleFactory2D.composeDiagonal(DoubleMatrix2D A, DoubleMatrix2D B) Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).
DoubleMatrix2D	DoubleFactory2D.composeDiagonal(DoubleMatrix2D A, DoubleMatrix2D B, DoubleMatrix2D C) Constructs a diagonal block matrix from the given parts.
DoubleMatrix2D	DoubleMatrix2D.copy() Constructs and returns a deep copy of the receiver.
DoubleMatrix2D	DoubleFactory2D.descending(int rows, int columns) Constructs a matrix with cells having descending values.
DoubleMatrix2D	DoubleFactory2D.diagonal(double[] vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
DoubleMatrix2D	DoubleFactory2D.diagonal(DoubleMatrix1D vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
DoubleMatrix2D	DoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function) Assigns the result of a function to each non-zero cell; x[row,col] = function(x[row,col]).
DoubleMatrix2D	DoubleFactory2D.identity(int rowsAndColumns) Constructs an identity matrix (having ones on the diagonal and zeros elsewhere).
DoubleMatrix2D	DoubleMatrix2D.like() Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same number of rows and columns.
abstract DoubleMatrix2D	DoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
abstract DoubleMatrix2D	DoubleMatrix1D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
DoubleMatrix2D	DoubleFactory2D.make(double[][] values) Constructs a matrix with the given cell values.
DoubleMatrix2D	DoubleFactory2D.make(double[] values, int rows) Construct a matrix from a one-dimensional column-major packed array, ala Fortran.
DoubleMatrix2D	DoubleFactory2D.make(int rows, int columns) Constructs a matrix with the given shape, each cell initialized with zero.
DoubleMatrix2D	DoubleFactory2D.make(int rows, int columns, double initialValue) Constructs a matrix with the given shape, each cell initialized with the given value.
DoubleMatrix2D	DoubleFactory2D.random(int rows, int columns) Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
DoubleMatrix2D	DoubleFactory2D.repeat(DoubleMatrix2D A, int rowRepeat, int columnRepeat) C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension.
DoubleMatrix2D	DoubleFactory2D.reshape(DoubleMatrix1D a, int rows, int columns)
abstract DoubleMatrix2D	DoubleMatrix1D.reshape(int rows, int cols) Returns new DoubleMatrix2D of size rows x columns whose elements are taken column-wise from this matrix.
DoubleMatrix2D	DoubleFactory2D.sample(DoubleMatrix2D matrix, double value, double nonZeroFraction) Modifies the given matrix to be a randomly sampled matrix.
DoubleMatrix2D	DoubleFactory2D.sample(int rows, int columns, double value, double nonZeroFraction) Constructs a randomly sampled matrix with the given shape.
DoubleMatrix2D	DoubleMatrix3D.viewColumn(int column) Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.
DoubleMatrix2D	DoubleMatrix2D.viewColumnFlip() Constructs and returns a new flip view along the column axis.
DoubleMatrix2D	DoubleMatrix2D.viewDice() Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
DoubleMatrix2D	DoubleMatrix2D.viewPart(int row, int column, int height, int width) Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column].
DoubleMatrix2D	DoubleMatrix3D.viewRow(int row) Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.
DoubleMatrix2D	DoubleMatrix2D.viewRowFlip() Constructs and returns a new flip view along the row axis.
DoubleMatrix2D	DoubleMatrix2D.viewSelection(DoubleMatrix1DProcedure condition) Constructs and returns a new selection view that is a matrix holding all rows matching the given condition.
DoubleMatrix2D	DoubleMatrix2D.viewSelection(int[] rowIndexes, int[] columnIndexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.
DoubleMatrix2D	DoubleMatrix2D.viewSelection(Set<int[]> indexes)
DoubleMatrix2D	DoubleMatrix3D.viewSlice(int slice) Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
DoubleMatrix2D	DoubleMatrix2D.viewSorted(int column) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
DoubleMatrix2D	DoubleMatrix2D.viewStrides(int rowStride, int columnStride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
DoubleMatrix2D	DoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C) Linear algebraic matrix-matrix multiplication; C = A x B; Equivalent to A.zMult(B,C,1,0,false,false).
DoubleMatrix2D	DoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) Linear algebraic matrix-matrix multiplication; C = alpha * A x B + beta*C.

Methods in cern.colt.matrix.tdouble with parameters of type DoubleMatrix2D

double	DoubleMatrix2D.aggregate(DoubleMatrix2D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f) Applies a function to each corresponding cell of two matrices and aggregates the results.
DoubleMatrix2D	DoubleFactory2D.appendColumn(DoubleMatrix2D A, DoubleMatrix1D b)
DoubleMatrix2D	DoubleFactory2D.appendColumns(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
DoubleMatrix2D	DoubleFactory2D.appendRow(DoubleMatrix2D A, DoubleMatrix1D b)
DoubleMatrix2D	DoubleFactory2D.appendRows(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.
boolean	DoubleMatrix2DProcedure.apply(DoubleMatrix2D element) Applies a procedure to an argument.
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleMatrix2D other) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
DoubleMatrix2D	DoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function, IntArrayList rowList, IntArrayList columnList) Assigns the result of a function to all cells with a given indexes
DoubleMatrix2D	DoubleFactory2D.compose(DoubleMatrix2D[][] parts) Constructs a block matrix made from the given parts.
DoubleMatrix2D	DoubleFactory2D.composeBidiagonal(DoubleMatrix2D A, DoubleMatrix2D B)
DoubleMatrix2D	DoubleFactory2D.composeDiagonal(DoubleMatrix2D A, DoubleMatrix2D B) Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).
DoubleMatrix2D	DoubleFactory2D.composeDiagonal(DoubleMatrix2D A, DoubleMatrix2D B, DoubleMatrix2D C) Constructs a diagonal block matrix from the given parts.
void	DoubleFactory2D.decompose(DoubleMatrix2D[][] parts, DoubleMatrix2D matrix) Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
void	DoubleFactory2D.decompose(DoubleMatrix2D[][] parts, DoubleMatrix2D matrix) Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
DoubleMatrix1D	DoubleFactory2D.diagonal(DoubleMatrix2D A) Constructs a new vector consisting of the diagonal elements of A .
DoubleMatrix2D	DoubleFactory2D.repeat(DoubleMatrix2D A, int rowRepeat, int columnRepeat) C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension.
DoubleMatrix2D	DoubleFactory2D.sample(DoubleMatrix2D matrix, double value, double nonZeroFraction) Modifies the given matrix to be a randomly sampled matrix.
void	DoubleMatrix2D.zAssign8Neighbors(DoubleMatrix2D B, Double9Function function) 8 neighbor stencil transformation.
DoubleMatrix2D	DoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C) Linear algebraic matrix-matrix multiplication; C = A x B; Equivalent to A.zMult(B,C,1,0,false,false).
DoubleMatrix2D	DoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) Linear algebraic matrix-matrix multiplication; C = alpha * A x B + beta*C.

Uses of DoubleMatrix2D in cern.colt.matrix.tdouble.algo

Methods in cern.colt.matrix.tdouble.algo that return DoubleMatrix2D

static DoubleMatrix2D	DoubleStatistic.aggregate(DoubleMatrix2D matrix, DoubleBinFunction1D[] aggr, DoubleMatrix2D result) Applies the given aggregation functions to each column and stores the results in a the result matrix.
static DoubleMatrix2D	DoubleStatistic.correlation(DoubleMatrix2D covariance) Modifies the given covariance matrix to be a correlation matrix (in-place).
static DoubleMatrix2D	DoubleStatistic.covariance(DoubleMatrix2D matrix) Constructs and returns the covariance matrix of the given matrix.
static DoubleMatrix2D	DoubleStatistic.distance(DoubleMatrix2D matrix, DoubleStatistic.VectorVectorFunction distanceFunction) Constructs and returns the distance matrix of the given matrix.
DoubleMatrix2D	DoubleAlgebra.inverse(DoubleMatrix2D A) Returns the inverse or pseudo-inverse of matrix A.
DoubleMatrix2D	DoubleAlgebra.mult(DoubleMatrix2D A, DoubleMatrix2D B) Linear algebraic matrix-matrix multiplication; C = A x B.
DoubleMatrix2D	DoubleAlgebra.multOuter(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) Outer product of two vectors; Sets A[i,j] = x[i] * y[j].
static DoubleMatrix2D	DoublePartitioning.partition(DoubleMatrix2D matrix, int column, double[] splitters, int[] splitIndexes) Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
DoubleMatrix2D	DoubleAlgebra.permute(DoubleMatrix2D A, int[] rowIndexes, int[] columnIndexes) Constructs and returns a new row and column permuted selection view of matrix A; equivalent to viewSelection(int[],int[]).
DoubleMatrix2D	DoubleAlgebra.permuteColumns(DoubleMatrix2D A, int[] indexes, int[] work) Modifies the given matrix A such that it's columns are permuted as specified; Useful for pivoting.
DoubleMatrix2D	DoubleAlgebra.permuteRows(DoubleMatrix2D A, int[] indexes, int[] work) Modifies the given matrix A such that it's rows are permuted as specified; Useful for pivoting.
DoubleMatrix2D	DoubleAlgebra.pow(DoubleMatrix2D A, int p) Linear algebraic matrix power; B = Ak <==> B = A*A*...*A.
DoubleMatrix2D	DoubleAlgebra.solve(DoubleMatrix2D A, DoubleMatrix2D B)
DoubleMatrix2D	DoubleAlgebra.solveTranspose(DoubleMatrix2D A, DoubleMatrix2D B) Solves X*A = B, which is also A'*X' = B'.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, double[] aggregates) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, DoubleBinFunction1D aggregate) Sorts the matrix rows into ascending order, according to the natural ordering of the values computed by applying the given aggregation function to each row; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, DoubleMatrix1DComparator c) Sorts the matrix rows according to the order induced by the specified comparator.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, int column) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
DoubleMatrix2D	DoubleAlgebra.subMatrix(DoubleMatrix2D A, int[] rowIndexes, int columnFrom, int columnTo) Copies the columns of the indicated rows into a new sub matrix.
DoubleMatrix2D	DoubleAlgebra.subMatrix(DoubleMatrix2D A, int rowFrom, int rowTo, int[] columnIndexes) Copies the rows of the indicated columns into a new sub matrix.
DoubleMatrix2D	DoubleAlgebra.subMatrix(DoubleMatrix2D A, int fromRow, int toRow, int fromColumn, int toColumn) Constructs and returns a new sub-range view which is the sub matrix A[fromRow..toRow,fromColumn..toColumn].
DoubleMatrix2D	DoubleAlgebra.transpose(DoubleMatrix2D A) Constructs and returns a new view which is the transposition of the given matrix A.
DoubleMatrix2D	DoubleAlgebra.trapezoidalLower(DoubleMatrix2D A) Modifies the matrix to be a lower trapezoidal matrix.
static DoubleMatrix2D	DoubleStatistic.viewSample(DoubleMatrix2D matrix, double rowFraction, double columnFraction, DoubleRandomEngine randomGenerator) Constructs and returns a sampling view with round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
DoubleMatrix2D	DoubleAlgebra.xmultOuter(DoubleMatrix1D x, DoubleMatrix1D y) Outer product of two vectors; Returns a matrix with A[i,j] = x[i] * y[j].
DoubleMatrix2D	DoubleAlgebra.xpowSlow(DoubleMatrix2D A, int k) Linear algebraic matrix power; B = Ak <==> B = A*A*...*A.

Methods in cern.colt.matrix.tdouble.algo with parameters of type DoubleMatrix2D

static DoubleMatrix2D	DoubleStatistic.aggregate(DoubleMatrix2D matrix, DoubleBinFunction1D[] aggr, DoubleMatrix2D result) Applies the given aggregation functions to each column and stores the results in a the result matrix.
double	DoubleMatrix2DMatrix2DFunction.apply(DoubleMatrix2D x, DoubleMatrix2D y) Applies a function to two arguments.
void	SmpDoubleBlas.assign(DoubleMatrix2D A, DoubleFunction function)
void	DoubleBlas.assign(DoubleMatrix2D A, DoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
void	SmpDoubleBlas.assign(DoubleMatrix2D A, DoubleMatrix2D B, DoubleDoubleFunction function)
void	DoubleBlas.assign(DoubleMatrix2D x, DoubleMatrix2D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
DoubleMatrix1D	DoubleAlgebra.backwardSolve(DoubleMatrix2D U, DoubleMatrix1D b)
void	DoubleProperty.checkRectangular(DoubleMatrix2D A) Checks whether the given matrix A is rectangular.
void	DoubleProperty.checkSquare(DoubleMatrix2D A) Checks whether the given matrix A is square.
DoubleCholeskyDecomposition	DoubleAlgebra.chol(DoubleMatrix2D matrix) Constructs and returns the cholesky-decomposition of the given matrix.
int	DoubleMatrix2DComparator.compare(DoubleMatrix2D o1, DoubleMatrix2D o2) Compares its two arguments for order.
double	DoubleAlgebra.cond(DoubleMatrix2D A) Returns the condition of matrix A, which is the ratio of largest to smallest singular value.
static DoubleMatrix2D	DoubleStatistic.correlation(DoubleMatrix2D covariance) Modifies the given covariance matrix to be a correlation matrix (in-place).
static DoubleMatrix2D	DoubleStatistic.covariance(DoubleMatrix2D matrix) Constructs and returns the covariance matrix of the given matrix.
void	SmpDoubleBlas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)
void	DoubleBlas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B) Combined matrix scaling; B = B + alpha*A.
void	SmpDoubleBlas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)
void	DoubleBlas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B) Matrix assignment (copying); B = A.
double	DoubleProperty.density(DoubleMatrix2D A) Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
double	DoubleAlgebra.det(DoubleMatrix2D A) Returns the determinant of matrix A.
void	SmpDoubleBlas.dgemm(boolean transposeA, boolean transposeB, double alpha, DoubleMatrix2D A, DoubleMatrix2D B, double beta, DoubleMatrix2D C)
void	DoubleBlas.dgemm(boolean transposeA, boolean transposeB, double alpha, DoubleMatrix2D A, DoubleMatrix2D B, double beta, DoubleMatrix2D C) Generalized linear algebraic matrix-matrix multiply; C = alpha*A*B + beta*C.
void	SmpDoubleBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
void	DoubleBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) Generalized linear algebraic matrix-vector multiply; y = alpha*A*x + beta*y.
void	SmpDoubleBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
void	DoubleBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) Performs a rank 1 update; A = A + alpha*x*y'.
static DoubleMatrix2D	DoubleStatistic.distance(DoubleMatrix2D matrix, DoubleStatistic.VectorVectorFunction distanceFunction) Constructs and returns the distance matrix of the given matrix.
void	SmpDoubleBlas.dscal(double alpha, DoubleMatrix2D A)
void	DoubleBlas.dscal(double alpha, DoubleMatrix2D A) Matrix scaling; A = alpha*A.
void	SmpDoubleBlas.dswap(DoubleMatrix2D A, DoubleMatrix2D B)
void	DoubleBlas.dswap(DoubleMatrix2D x, DoubleMatrix2D y) Swaps the elements of two matrices; B <==> A.
void	SmpDoubleBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
void	DoubleBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) Symmetric matrix-vector multiplication; y = alpha*A*x + beta*y.
void	SmpDoubleBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
void	DoubleBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x) Triangular matrix-vector multiplication; x = A*x or x = A'*x.
DoubleEigenvalueDecomposition	DoubleAlgebra.eig(DoubleMatrix2D matrix) Constructs and returns the Eigenvalue-decomposition of the given matrix.
boolean	DoubleProperty.equals(DoubleMatrix2D A, double value) Returns whether all cells of the given matrix A are equal to the given value.
boolean	DoubleProperty.equals(DoubleMatrix2D A, DoubleMatrix2D B) Returns whether both given matrices A and B are equal.
String[][]	DoubleFormatter.format(DoubleMatrix2D matrix) Returns a string representations of all cells; no alignment considered.
DoubleMatrix1D	DoubleAlgebra.forwardSolve(DoubleMatrix2D L, DoubleMatrix1D b)
void	DoubleProperty.generateNonSingular(DoubleMatrix2D A) Modifies the given matrix square matrix A such that it is diagonally dominant by row and column, hence non-singular, hence invertible.
static DoubleIHistogram1D[][]	DoubleStatistic.histogram(DoubleIHistogram1D[][] histo, DoubleMatrix2D matrix, int m, int n) Splits the given matrix into m x n pieces and computes 1D histogram of each piece.
static DoubleIHistogram1D	DoubleStatistic.histogram(DoubleIHistogram1D histo, DoubleMatrix2D matrix) Fills all cells of the given matrix into the given histogram.
DoubleMatrix2D	DoubleAlgebra.inverse(DoubleMatrix2D A) Returns the inverse or pseudo-inverse of matrix A.
boolean	DoubleProperty.isDiagonal(DoubleMatrix2D A) A matrix A is diagonal if A[i,j] == 0 whenever i != j.
boolean	DoubleProperty.isDiagonallyDominantByColumn(DoubleMatrix2D A) A matrix A is diagonally dominant by column if the absolute value of each diagonal element is larger than the sum of the absolute values of the off-diagonal elements in the corresponding column.
boolean	DoubleProperty.isDiagonallyDominantByRow(DoubleMatrix2D A) A matrix A is diagonally dominant by row if the absolute value of each diagonal element is larger than the sum of the absolute values of the off-diagonal elements in the corresponding row.
boolean	DoubleProperty.isIdentity(DoubleMatrix2D A) A matrix A is an identity matrix if A[i,i] == 1 and all other cells are zero.
boolean	DoubleProperty.isLowerBidiagonal(DoubleMatrix2D A) A matrix A is lower bidiagonal if A[i,j]==0 unless i==j || i==j+1.
boolean	DoubleProperty.isLowerTriangular(DoubleMatrix2D A) A matrix A is lower triangular if A[i,j]==0 whenever i < j.
boolean	DoubleProperty.isNonNegative(DoubleMatrix2D A) A matrix A is non-negative if A[i,j] >= 0 holds for all cells.
boolean	DoubleProperty.isOrthogonal(DoubleMatrix2D A) A square matrix A is orthogonal if A*transpose(A) = I.
boolean	DoubleProperty.isPositive(DoubleMatrix2D A) A matrix A is positive if A[i,j] > 0 holds for all cells.
boolean	DoubleProperty.isSingular(DoubleMatrix2D A) A matrix A is singular if it has no inverse, that is, iff det(A)==0.
boolean	DoubleProperty.isSkewSymmetric(DoubleMatrix2D A) A square matrix A is skew-symmetric if A = -transpose(A), that is A[i,j] == -A[j,i].
boolean	DoubleProperty.isSquare(DoubleMatrix2D A) A matrix A is square if it has the same number of rows and columns.
boolean	DoubleProperty.isStrictlyLowerTriangular(DoubleMatrix2D A) A matrix A is strictly lower triangular if A[i,j]==0 whenever i <= j.
boolean	DoubleProperty.isStrictlyTriangular(DoubleMatrix2D A) A matrix A is strictly triangular if it is triangular and its diagonal elements all equal 0.
boolean	DoubleProperty.isStrictlyUpperTriangular(DoubleMatrix2D A) A matrix A is strictly upper triangular if A[i,j]==0 whenever i >= j.
boolean	DoubleProperty.isSymmetric(DoubleMatrix2D A) A matrix A is symmetric if A = tranpose(A), that is A[i,j] == A[j,i].
boolean	DoubleProperty.isTriangular(DoubleMatrix2D A) A matrix A is triangular iff it is either upper or lower triangular.
boolean	DoubleProperty.isTridiagonal(DoubleMatrix2D A) A matrix A is tridiagonal if A[i,j]==0 whenever Math.abs(i-j) > 1.
boolean	DoubleProperty.isUnitTriangular(DoubleMatrix2D A) A matrix A is unit triangular if it is triangular and its diagonal elements all equal 1.
boolean	DoubleProperty.isUpperBidiagonal(DoubleMatrix2D A) A matrix A is upper bidiagonal if A[i,j]==0 unless i==j || i==j-1.
boolean	DoubleProperty.isUpperTriangular(DoubleMatrix2D A) A matrix A is upper triangular if A[i,j]==0 whenever i > j.
boolean	DoubleProperty.isZero(DoubleMatrix2D A) A matrix A is zero if all its cells are zero.
int	DoubleProperty.lowerBandwidth(DoubleMatrix2D A) The lower bandwidth of a square matrix A is the maximum i-j for which A[i,j] is nonzero and i > j.
DoubleLUDecomposition	DoubleAlgebra.lu(DoubleMatrix2D matrix) Constructs and returns the LU-decomposition of the given matrix.
DoubleMatrix1D	DoubleAlgebra.mult(DoubleMatrix2D A, DoubleMatrix1D y) Linear algebraic matrix-vector multiplication; z = A * y.
DoubleMatrix2D	DoubleAlgebra.mult(DoubleMatrix2D A, DoubleMatrix2D B) Linear algebraic matrix-matrix multiplication; C = A x B.
DoubleMatrix2D	DoubleAlgebra.multOuter(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) Outer product of two vectors; Sets A[i,j] = x[i] * y[j].
double	DoubleAlgebra.norm(DoubleMatrix2D A, Norm type)
double	DoubleAlgebra.norm1(DoubleMatrix2D A) Returns the one-norm of matrix A, which is the maximum absolute column sum.
double	DoubleAlgebra.norm2(DoubleMatrix2D A) Returns the two-norm of matrix A, which is the maximum singular value; obtained from SVD.
double	DoubleAlgebra.normF(DoubleMatrix2D A) Returns the Frobenius norm of matrix A, which is Sqrt(Sum(A[i,j]2)).
double	DoubleAlgebra.normInfinity(DoubleMatrix2D A) Returns the infinity norm of matrix A, which is the maximum absolute row sum.
static void	DoublePartitioning.partition(DoubleMatrix2D matrix, int[] rowIndexes, int rowFrom, int rowTo, int column, double[] splitters, int splitFrom, int splitTo, int[] splitIndexes) Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
static DoubleMatrix2D	DoublePartitioning.partition(DoubleMatrix2D matrix, int column, double[] splitters, int[] splitIndexes) Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
DoubleMatrix2D	DoubleAlgebra.permute(DoubleMatrix2D A, int[] rowIndexes, int[] columnIndexes) Constructs and returns a new row and column permuted selection view of matrix A; equivalent to viewSelection(int[],int[]).
DoubleMatrix2D	DoubleAlgebra.permuteColumns(DoubleMatrix2D A, int[] indexes, int[] work) Modifies the given matrix A such that it's columns are permuted as specified; Useful for pivoting.
DoubleMatrix2D	DoubleAlgebra.permuteRows(DoubleMatrix2D A, int[] indexes, int[] work) Modifies the given matrix A such that it's rows are permuted as specified; Useful for pivoting.
DoubleMatrix2D	DoubleAlgebra.pow(DoubleMatrix2D A, int p) Linear algebraic matrix power; B = Ak <==> B = A*A*...*A.
DoubleQRDecomposition	DoubleAlgebra.qr(DoubleMatrix2D matrix) Constructs and returns the QR-decomposition of the given matrix.
int	DoubleAlgebra.rank(DoubleMatrix2D A) Returns the effective numerical rank of matrix A, obtained from Singular Value Decomposition.
int	DoubleProperty.semiBandwidth(DoubleMatrix2D A) Returns the semi-bandwidth of the given square matrix A.
DoubleMatrix1D	DoubleAlgebra.solve(DoubleMatrix2D A, DoubleMatrix1D b) Solves A*x = b.
DoubleMatrix2D	DoubleAlgebra.solve(DoubleMatrix2D A, DoubleMatrix2D B)
DoubleMatrix2D	DoubleAlgebra.solveTranspose(DoubleMatrix2D A, DoubleMatrix2D B) Solves X*A = B, which is also A'*X' = B'.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, double[] aggregates) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, DoubleBinFunction1D aggregate) Sorts the matrix rows into ascending order, according to the natural ordering of the values computed by applying the given aggregation function to each row; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, DoubleMatrix1DComparator c) Sorts the matrix rows according to the order induced by the specified comparator.
DoubleMatrix2D	DoubleSorting.sort(DoubleMatrix2D matrix, int column) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
static int	DoubleStencil.stencil9(DoubleMatrix2D A, Double9Function function, int maxIterations, DoubleMatrix2DProcedure hasConverged, int convergenceIterations) 9 point stencil operation.
DoubleMatrix2D	DoubleAlgebra.subMatrix(DoubleMatrix2D A, int[] rowIndexes, int columnFrom, int columnTo) Copies the columns of the indicated rows into a new sub matrix.
DoubleMatrix2D	DoubleAlgebra.subMatrix(DoubleMatrix2D A, int rowFrom, int rowTo, int[] columnIndexes) Copies the rows of the indicated columns into a new sub matrix.
DoubleMatrix2D	DoubleAlgebra.subMatrix(DoubleMatrix2D A, int fromRow, int toRow, int fromColumn, int toColumn) Constructs and returns a new sub-range view which is the sub matrix A[fromRow..toRow,fromColumn..toColumn].
DoubleSingularValueDecomposition	DoubleAlgebra.svd(DoubleMatrix2D matrix) Constructs and returns the SingularValue-decomposition of the given matrix.
DoubleSingularValueDecompositionDC	DoubleAlgebra.svdDC(DoubleMatrix2D matrix) Constructs and returns the SingularValue-decomposition of the given matrix.
String	DoubleFormatter.toSourceCode(DoubleMatrix2D matrix) Returns a string s such that Object[] m = s is a legal Java statement.
String	DoubleProperty.toString(DoubleMatrix2D A) Returns summary information about the given matrix A.
String	DoubleFormatter.toString(DoubleMatrix2D matrix) Returns a string representation of the given matrix.
String	DoubleAlgebra.toString(DoubleMatrix2D matrix) Returns a String with (propertyName, propertyValue) pairs.
String	DoubleFormatter.toTitleString(DoubleMatrix2D matrix, String[] rowNames, String[] columnNames, String rowAxisName, String columnAxisName, String title, DoubleBinFunction1D[] aggr) Same as toTitleString except that additionally statistical aggregates (mean, median, sum, etc.) of rows and columns are printed.
String	DoubleAlgebra.toVerboseString(DoubleMatrix2D matrix) Returns the results of toString(A) and additionally the results of all sorts of decompositions applied to the given matrix.
double	DoubleAlgebra.trace(DoubleMatrix2D A) Returns the sum of the diagonal elements of matrix A; Sum(A[i,i]).
DoubleMatrix2D	DoubleAlgebra.transpose(DoubleMatrix2D A) Constructs and returns a new view which is the transposition of the given matrix A.
DoubleMatrix2D	DoubleAlgebra.trapezoidalLower(DoubleMatrix2D A) Modifies the matrix to be a lower trapezoidal matrix.
int	DoubleProperty.upperBandwidth(DoubleMatrix2D A) The upper bandwidth of a square matrix A is the maximum j-i for which A[i,j] is nonzero and j > i.
double	DoubleAlgebra.vectorNorm2(DoubleMatrix2D X) Returns the two-norm (aka euclidean norm) of vector X.vectorize();
static DoubleMatrix2D	DoubleStatistic.viewSample(DoubleMatrix2D matrix, double rowFraction, double columnFraction, DoubleRandomEngine randomGenerator) Constructs and returns a sampling view with round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
DoubleMatrix2D	DoubleAlgebra.xpowSlow(DoubleMatrix2D A, int k) Linear algebraic matrix power; B = Ak <==> B = A*A*...*A.

Uses of DoubleMatrix2D in cern.colt.matrix.tdouble.algo.decomposition

Methods in cern.colt.matrix.tdouble.algo.decomposition that return DoubleMatrix2D

DoubleMatrix2D	DoubleEigenvalueDecomposition.getD() Returns the block diagonal eigenvalue matrix, D.
DoubleMatrix2D	DoubleQRDecomposition.getH() Returns the Householder vectors H.
DoubleMatrix2D	DoubleLUDecompositionQuick.getL() Returns the lower triangular factor, L.
DoubleMatrix2D	DoubleLUDecomposition.getL() Returns the lower triangular factor, L.
DoubleMatrix2D	DoubleCholeskyDecomposition.getL() Returns the triangular factor, L.
DoubleMatrix2D	DoubleCholeskyDecomposition.getLtranspose()
DoubleMatrix2D	DoubleLUDecompositionQuick.getLU() Returns a copy of the combined lower and upper triangular factor, LU.
DoubleMatrix2D	DoubleQRDecomposition.getQ() Generates and returns the (economy-sized) orthogonal factor Q.
DoubleMatrix2D	DoubleQRDecomposition.getR() Returns the upper triangular factor, R.
DoubleMatrix2D	DoubleSingularValueDecompositionDC.getS() Returns the diagonal matrix of singular values.
DoubleMatrix2D	DoubleSingularValueDecomposition.getS() Returns the diagonal matrix of singular values.
DoubleMatrix2D	DoubleSingularValueDecompositionDC.getU() Returns the left singular vectors U.
DoubleMatrix2D	DoubleSingularValueDecomposition.getU() Returns the left singular vectors U.
DoubleMatrix2D	DoubleLUDecompositionQuick.getU() Returns the upper triangular factor, U.
DoubleMatrix2D	DoubleLUDecomposition.getU() Returns the upper triangular factor, U.
DoubleMatrix2D	DoubleSingularValueDecompositionDC.getUt() Returns the transpose of the left singular vectors U.
DoubleMatrix2D	DoubleSingularValueDecompositionDC.getV() Returns the right singular vectors V.
DoubleMatrix2D	DoubleSingularValueDecomposition.getV() Returns the right singular vectors V.
DoubleMatrix2D	DoubleEigenvalueDecomposition.getV() Returns the eigenvector matrix, V
DoubleMatrix2D	DoubleSingularValueDecompositionDC.getVt() Returns the transpose of the right singular vectors V.
DoubleMatrix2D	DoubleQRDecomposition.solve(DoubleMatrix2D B) Least squares solution of A*X = B; returns X.
DoubleMatrix2D	DoubleLUDecomposition.solve(DoubleMatrix2D B) Solves A*X = B.
DoubleMatrix2D	DoubleCholeskyDecomposition.solve(DoubleMatrix2D B) Solves A*X = B; returns X.

Methods in cern.colt.matrix.tdouble.algo.decomposition with parameters of type DoubleMatrix2D

void	DoubleLUDecompositionQuick.decompose(DoubleMatrix2D A) Decomposes matrix A into L and U (in-place).
void	DoubleLUDecompositionQuick.decompose(DoubleMatrix2D A, int semiBandwidth) Decomposes the banded and square matrix A into L and U (in-place).
void	DoubleLUDecompositionQuick.setLU(DoubleMatrix2D LU) Sets the combined lower and upper triangular factor, LU.
DoubleMatrix2D	DoubleQRDecomposition.solve(DoubleMatrix2D B) Least squares solution of A*X = B; returns X.
void	DoubleLUDecompositionQuick.solve(DoubleMatrix2D B) Solves the system of equations A*X = B (in-place).
DoubleMatrix2D	DoubleLUDecomposition.solve(DoubleMatrix2D B) Solves A*X = B.
DoubleMatrix2D	DoubleCholeskyDecomposition.solve(DoubleMatrix2D B) Solves A*X = B; returns X.

Constructors in cern.colt.matrix.tdouble.algo.decomposition with parameters of type DoubleMatrix2D

DoubleCholeskyDecomposition(DoubleMatrix2D A)
Constructs and returns a new Cholesky decomposition object for a symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

DoubleEigenvalueDecomposition(DoubleMatrix2D A)
Constructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

DoubleLUDecomposition(DoubleMatrix2D A)
Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

DoubleQRDecomposition(DoubleMatrix2D A)
Constructs and returns a new QR decomposition object; computed by Householder reflections; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

DoubleSingularValueDecomposition(DoubleMatrix2D Arg)
Constructs and returns a new singular value decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

DoubleSingularValueDecompositionDC(DoubleMatrix2D Arg, boolean wantUV, boolean wantWholeUV)
Constructs and returns a new singular value decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

Uses of DoubleMatrix2D in cern.colt.matrix.tdouble.algo.solver

Methods in cern.colt.matrix.tdouble.algo.solver with parameters of type DoubleMatrix2D

void	DoubleGivensRotation.apply(DoubleMatrix2D H, int column, int i1, int i2) Applies the Givens rotation to two elements in a matrix column
DoubleMatrix1D	DoubleQMR.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleMRNSD.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleIterativeSolver.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x) Solves the given problem, writing result into the vector.
DoubleMatrix1D	DoubleIR.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleHyBR.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleGMRES.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleChebyshev.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleCGS.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleCGLS.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleCG.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleBiCGstab.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)
DoubleMatrix1D	DoubleBiCG.solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x)

Uses of DoubleMatrix2D in cern.colt.matrix.tdouble.algo.solver.preconditioner

Methods in cern.colt.matrix.tdouble.algo.solver.preconditioner with parameters of type DoubleMatrix2D

void	DoubleSSOR.setMatrix(DoubleMatrix2D A)
void	DoublePreconditioner.setMatrix(DoubleMatrix2D A) Sets the operator matrix for the preconditioner.
void	DoubleILUT.setMatrix(DoubleMatrix2D A)
void	DoubleILU.setMatrix(DoubleMatrix2D A)
void	DoubleIdentity.setMatrix(DoubleMatrix2D A)
void	DoubleICC.setMatrix(DoubleMatrix2D A)
void	DoubleDiagonal.setMatrix(DoubleMatrix2D A)
void	DoubleAMG.setMatrix(DoubleMatrix2D A)

Uses of DoubleMatrix2D in cern.colt.matrix.tdouble.impl

Subclasses of DoubleMatrix2D in cern.colt.matrix.tdouble.impl

class	CCDoubleMatrix2D Sparse row-compressed 2-d matrix holding double elements.
class	CCMDoubleMatrix2D Sparse column-compressed-modified 2-d matrix holding double elements.
class	DenseColDoubleMatrix2D Dense 2-d matrix holding double elements.
class	DenseDoubleMatrix2D Dense 2-d matrix holding double elements.
class	DiagonalDoubleMatrix2D Diagonal 2-d matrix holding double elements.
class	RCDoubleMatrix2D Sparse row-compressed 2-d matrix holding double elements.
class	RCMDoubleMatrix2D Sparse row-compressed-modified 2-d matrix holding double elements.
class	SparseDoubleMatrix2D Sparse hashed 2-d matrix holding double elements.
class	TridiagonalDoubleMatrix2D Tridiagonal 2-d matrix holding double elements.
class	WrapperDoubleMatrix2D 2-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Methods in cern.colt.matrix.tdouble.impl that return DoubleMatrix2D

DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(double value) Sets all cells to the state specified by value.
DoubleMatrix2D	SparseDoubleMatrix2D.assign(double value) Sets all cells to the state specified by value.
DoubleMatrix2D	RCDoubleMatrix2D.assign(double value) Sets all nonzero cells to the state specified by value.
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(double value) Sets all cells to the state specified by value.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(double value)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(double value)
DoubleMatrix2D	CCDoubleMatrix2D.assign(double value) Sets all nonzero cells to the state specified by value.
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(double[] values) Sets all cells to the state specified by values.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(double[] values)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(double[] values)
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(double[][] values) Sets all cells to the state specified by values.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(double[][] values)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(double[][] values)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleFunction function)
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleFunction function) Assigns the result of a function to each nonzero cell;
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(DoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleFunction function)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleFunction function)
DoubleMatrix2D	CCDoubleMatrix2D.assign(DoubleFunction function) Assigns the result of a function to each nonzero cell;
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D source)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleMatrix2D source)
DoubleMatrix2D	CCDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	CCDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function, IntArrayList rowList, IntArrayList columnList)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function, IntArrayList rowList, IntArrayList columnList)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleProcedure cond, double value)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleProcedure cond, double value)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleProcedure cond, DoubleFunction function)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleProcedure cond, DoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(float[] values)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(float[] values)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	SparseDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	RCDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	DiagonalDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	DenseColDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	CCDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	WrapperDoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
DoubleMatrix2D	SparseDoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
DoubleMatrix2D	RCMDoubleMatrix2D.like(int rows, int columns)
DoubleMatrix2D	RCDoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
DoubleMatrix2D	DiagonalDoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
DoubleMatrix2D	DenseDoubleMatrix2D.like(int rows, int columns)
DoubleMatrix2D	DenseColDoubleMatrix2D.like(int rows, int columns)
DoubleMatrix2D	CCMDoubleMatrix2D.like(int rows, int columns)
DoubleMatrix2D	CCDoubleMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
DoubleMatrix2D	WrapperDoubleMatrix1D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
DoubleMatrix2D	SparseDoubleMatrix1D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
DoubleMatrix2D	DenseDoubleMatrix1D.like2D(int rows, int columns)
DoubleMatrix2D	WrapperDoubleMatrix1D.reshape(int rows, int cols)
DoubleMatrix2D	SparseDoubleMatrix1D.reshape(int rows, int cols)
DoubleMatrix2D	DenseDoubleMatrix1D.reshape(int rows, int cols)
DoubleMatrix2D	WrapperDoubleMatrix2D.viewColumnFlip() Constructs and returns a new flip view along the column axis.
DoubleMatrix2D	WrapperDoubleMatrix2D.viewDice() Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
DoubleMatrix2D	WrapperDoubleMatrix2D.viewPart(int row, int column, int height, int width) Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column].
DoubleMatrix2D	WrapperDoubleMatrix2D.viewRowFlip() Constructs and returns a new flip view along the row axis.
DoubleMatrix2D	WrapperDoubleMatrix2D.viewSelection(int[] rowIndexes, int[] columnIndexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.
DoubleMatrix2D	WrapperDoubleMatrix2D.viewStrides(int _rowStride, int _columnStride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	SparseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	RCDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	DenseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	DenseColDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	CCDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)

Methods in cern.colt.matrix.tdouble.impl with parameters of type DoubleMatrix2D

double	DenseDoubleMatrix2D.aggregate(DoubleMatrix2D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f)
double	DenseColDoubleMatrix2D.aggregate(DoubleMatrix2D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D source)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleMatrix2D source)
DoubleMatrix2D	CCDoubleMatrix2D.assign(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DiagonalDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	CCDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function, IntArrayList rowList, IntArrayList columnList)
DoubleMatrix2D	DenseColDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function, IntArrayList rowList, IntArrayList columnList)
void	DenseDoubleMatrix2D.zAssign8Neighbors(DoubleMatrix2D B, Double9Function function)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	SparseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	RCDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	DenseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	DenseColDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	CCDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)

Constructors in cern.colt.matrix.tdouble.impl with parameters of type DoubleMatrix2D

WrapperDoubleMatrix2D(DoubleMatrix2D newContent)