Uses of Class
cern.colt.matrix.DoubleMatrix2D

Packages that use DoubleMatrix2D

Package	Description
cern.colt.matrix	Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3 and d-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes.
cern.colt.matrix.bench	Matrix benchmarks.
cern.colt.matrix.doublealgo	Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
cern.colt.matrix.impl	Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of cern.colt.matrix, without subsetting or supersetting.
cern.colt.matrix.linalg	Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D.

Uses of DoubleMatrix2D in cern.colt.matrix

Methods in cern.colt.matrix that return DoubleMatrix2D

Modifier and Type	Method	Description
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.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(DoubleFunction function)	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	DoubleFactory2D.compose(DoubleMatrix2D[][] parts)	Constructs a block matrix made from the given parts.
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(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]).
protected DoubleMatrix2D	DoubleMatrix2D.getContent()	Returns the content of this matrix if it is a wrapper; or this otherwise.
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.
protected abstract DoubleMatrix2D	DoubleMatrix3D.like2D(int rows, int columns, int rowZero, int columnZero, int rowStride, int columnStride)	Construct and returns a new 2-d matrix of the corresponding dynamic type, sharing the same cells.
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.sample(int rows, int columns, double value, double nonZeroFraction)	Constructs a randomly sampled matrix with the given shape.
DoubleMatrix2D	DoubleFactory2D.sample(DoubleMatrix2D matrix, double value, double nonZeroFraction)	Modifies the given matrix to be a randomly sampled matrix.
protected DoubleMatrix2D	DoubleMatrix2D.view()	Constructs and returns a new view equal to the receiver.
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(int[] rowIndexes, int[] columnIndexes)	Constructs and returns a new selection view that is a matrix holding the indicated cells.
DoubleMatrix2D	DoubleMatrix2D.viewSelection(DoubleMatrix1DProcedure condition)	Constructs and returns a new selection view that is a matrix holding all rows matching the given condition.
protected abstract DoubleMatrix2D	DoubleMatrix2D.viewSelectionLike(int[] rowOffsets, int[] columnOffsets)	Construct and returns a new selection view.
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 with parameters of type DoubleMatrix2D

Modifier and Type	Method	Description
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.appendColumns(DoubleMatrix2D A, DoubleMatrix2D B)	C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
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]).
protected static void	DoubleFactory2D.checkRectangularShape(DoubleMatrix2D[][] array)	Checks whether the given array is rectangular, that is, whether all rows have the same number of columns.
DoubleMatrix2D	DoubleFactory2D.compose(DoubleMatrix2D[][] parts)	Constructs a block matrix made from the given parts.
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.
DoubleMatrix1D	DoubleFactory2D.diagonal(DoubleMatrix2D A)	Constructs a new vector consisting of the diagonal elements of A.
protected boolean	DoubleMatrix2D.haveSharedCells(DoubleMatrix2D other)	Returns true if both matrices share at least one identical cell.
protected boolean	DoubleMatrix2D.haveSharedCellsRaw(DoubleMatrix2D other)	Returns true if both matrices share at least one identical cell.
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.bench

Fields in cern.colt.matrix.bench declared as DoubleMatrix2D

Modifier and Type	Field	Description
DoubleMatrix2D	Double2DProcedure.A
DoubleMatrix2D	Double2DProcedure.B
DoubleMatrix2D	Double2DProcedure.C
DoubleMatrix2D	Double2DProcedure.D

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

Modifier and Type	Method	Description
void	Double2DProcedure.setParameters(DoubleMatrix2D A, DoubleMatrix2D B)	Sets the matrices to operate upon.

Uses of DoubleMatrix2D in cern.colt.matrix.doublealgo

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

Modifier and Type	Method	Description
static DoubleMatrix2D	Transform.abs(DoubleMatrix2D A)	Deprecated. A[row,col] = Math.abs(A[row,col]).
static DoubleMatrix2D	Statistic.aggregate(DoubleMatrix2D matrix, BinFunction1D[] aggr, DoubleMatrix2D result)	Applies the given aggregation functions to each column and stores the results in a the result matrix.
static DoubleMatrix2D	Statistic.correlation(DoubleMatrix2D covariance)	Modifies the given covariance matrix to be a correlation matrix (in-place).
static DoubleMatrix2D	Statistic.covariance(DoubleMatrix2D matrix)	Constructs and returns the covariance matrix of the given matrix.
static DoubleMatrix2D	Statistic.distance(DoubleMatrix2D matrix, Statistic.VectorVectorFunction distanceFunction)	Constructs and returns the distance matrix of the given matrix.
static DoubleMatrix2D	Transform.div(DoubleMatrix2D A, double s)	Deprecated. A = A / s invalid input: '<'=> A[row,col] = A[row,col] / s.
static DoubleMatrix2D	Transform.div(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A / B invalid input: '<'=> A[row,col] = A[row,col] / B[row,col].
static DoubleMatrix2D	Transform.equals(DoubleMatrix2D A, double s)	Deprecated. A[row,col] = A[row,col] == s ? 1 : 0; ignores tolerance.
static DoubleMatrix2D	Transform.equals(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A[row,col] = A[row,col] == B[row,col] ? 1 : 0; ignores tolerance.
static DoubleMatrix2D	Transform.greater(DoubleMatrix2D A, double s)	Deprecated. A[row,col] = A[row,col] > s ? 1 : 0.
static DoubleMatrix2D	Transform.greater(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A[row,col] = A[row,col] > B[row,col] ? 1 : 0.
static DoubleMatrix2D	Transform.less(DoubleMatrix2D A, double s)	Deprecated. A[row,col] = A[row,col] invalid input: '<' s ? 1 : 0.
static DoubleMatrix2D	Transform.less(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A[row,col] = A[row,col] invalid input: '<' B[row,col] ? 1 : 0.
static DoubleMatrix2D	Transform.minus(DoubleMatrix2D A, double s)	Deprecated. A = A - s invalid input: '<'=> A[row,col] = A[row,col] - s.
static DoubleMatrix2D	Transform.minus(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A - B invalid input: '<'=> A[row,col] = A[row,col] - B[row,col].
static DoubleMatrix2D	Transform.minusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)	Deprecated. A = A - B*s invalid input: '<'=> A[row,col] = A[row,col] - B[row,col]*s.
static DoubleMatrix2D	Transform.mult(DoubleMatrix2D A, double s)	Deprecated. A = A * s invalid input: '<'=> A[row,col] = A[row,col] * s.
static DoubleMatrix2D	Transform.mult(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A * B invalid input: '<'=> A[row,col] = A[row,col] * B[row,col].
static DoubleMatrix2D	Transform.negate(DoubleMatrix2D A)	Deprecated. A = -A invalid input: '<'=> A[row,col] = -A[row,col].
static DoubleMatrix2D	Partitioning.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.
static DoubleMatrix2D	Transform.plus(DoubleMatrix2D A, double s)	Deprecated. A = A + s invalid input: '<'=> A[row,col] = A[row,col] + s.
static DoubleMatrix2D	Transform.plus(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A + B invalid input: '<'=> A[row,col] = A[row,col] + B[row,col].
static DoubleMatrix2D	Transform.plusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)	Deprecated. A = A + B*s invalid input: '<'=> A[row,col] = A[row,col] + B[row,col]*s.
static DoubleMatrix2D	Transform.pow(DoubleMatrix2D A, double s)	Deprecated. A = As invalid input: '<'=> A[row,col] = Math.pow(A[row,col], s).
static DoubleMatrix2D	Transform.pow(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = AB invalid input: '<'=> A[row,col] = Math.pow(A[row,col], B[row,col]).
DoubleMatrix2D	Sorting.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	Sorting.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	Sorting.sort(DoubleMatrix2D matrix, DoubleMatrix1DComparator c)	Sorts the matrix rows according to the order induced by the specified comparator.
DoubleMatrix2D	Sorting.sort(DoubleMatrix2D matrix, BinFunction1D 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.
static DoubleMatrix2D	Statistic.viewSample(DoubleMatrix2D matrix, double rowFraction, double columnFraction, RandomEngine randomGenerator)	Constructs and returns a sampling view with round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
private static DoubleMatrix2D	Statistic.xdistanceOld(DoubleMatrix2D matrix, int norm)	Constructs and returns the distance matrix of the given matrix.
private static DoubleMatrix2D	Statistic.xdistanceOld2(DoubleMatrix2D matrix, int norm)	Constructs and returns the distance matrix of the given matrix.

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

Modifier and Type	Method	Description
static DoubleMatrix2D	Transform.abs(DoubleMatrix2D A)	Deprecated. A[row,col] = Math.abs(A[row,col]).
static DoubleMatrix2D	Statistic.aggregate(DoubleMatrix2D matrix, BinFunction1D[] aggr, DoubleMatrix2D result)	Applies the given aggregation functions to each column and stores the results in a the result matrix.
int	DoubleMatrix2DComparator.compare(DoubleMatrix2D o1, DoubleMatrix2D o2)	Compares its two arguments for order.
static DoubleMatrix2D	Statistic.correlation(DoubleMatrix2D covariance)	Modifies the given covariance matrix to be a correlation matrix (in-place).
static DoubleMatrix2D	Statistic.covariance(DoubleMatrix2D matrix)	Constructs and returns the covariance matrix of the given matrix.
static DoubleMatrix2D	Statistic.distance(DoubleMatrix2D matrix, Statistic.VectorVectorFunction distanceFunction)	Constructs and returns the distance matrix of the given matrix.
static DoubleMatrix2D	Transform.div(DoubleMatrix2D A, double s)	Deprecated. A = A / s invalid input: '<'=> A[row,col] = A[row,col] / s.
static DoubleMatrix2D	Transform.div(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A / B invalid input: '<'=> A[row,col] = A[row,col] / B[row,col].
static DoubleMatrix2D	Transform.equals(DoubleMatrix2D A, double s)	Deprecated. A[row,col] = A[row,col] == s ? 1 : 0; ignores tolerance.
static DoubleMatrix2D	Transform.equals(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A[row,col] = A[row,col] == B[row,col] ? 1 : 0; ignores tolerance.
String[][]	Formatter.format(DoubleMatrix2D matrix)	Returns a string representations of all cells; no alignment considered.
static DoubleMatrix2D	Transform.greater(DoubleMatrix2D A, double s)	Deprecated. A[row,col] = A[row,col] > s ? 1 : 0.
static DoubleMatrix2D	Transform.greater(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A[row,col] = A[row,col] > B[row,col] ? 1 : 0.
static DoubleMatrix2D	Transform.less(DoubleMatrix2D A, double s)	Deprecated. A[row,col] = A[row,col] invalid input: '<' s ? 1 : 0.
static DoubleMatrix2D	Transform.less(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A[row,col] = A[row,col] invalid input: '<' B[row,col] ? 1 : 0.
static DoubleMatrix2D	Transform.minus(DoubleMatrix2D A, double s)	Deprecated. A = A - s invalid input: '<'=> A[row,col] = A[row,col] - s.
static DoubleMatrix2D	Transform.minus(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A - B invalid input: '<'=> A[row,col] = A[row,col] - B[row,col].
static DoubleMatrix2D	Transform.minusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)	Deprecated. A = A - B*s invalid input: '<'=> A[row,col] = A[row,col] - B[row,col]*s.
static DoubleMatrix2D	Transform.mult(DoubleMatrix2D A, double s)	Deprecated. A = A * s invalid input: '<'=> A[row,col] = A[row,col] * s.
static DoubleMatrix2D	Transform.mult(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A * B invalid input: '<'=> A[row,col] = A[row,col] * B[row,col].
static DoubleMatrix2D	Transform.negate(DoubleMatrix2D A)	Deprecated. A = -A invalid input: '<'=> A[row,col] = -A[row,col].
static void	Partitioning.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	Partitioning.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.
static DoubleMatrix2D	Transform.plus(DoubleMatrix2D A, double s)	Deprecated. A = A + s invalid input: '<'=> A[row,col] = A[row,col] + s.
static DoubleMatrix2D	Transform.plus(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = A + B invalid input: '<'=> A[row,col] = A[row,col] + B[row,col].
static DoubleMatrix2D	Transform.plusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)	Deprecated. A = A + B*s invalid input: '<'=> A[row,col] = A[row,col] + B[row,col]*s.
static DoubleMatrix2D	Transform.pow(DoubleMatrix2D A, double s)	Deprecated. A = As invalid input: '<'=> A[row,col] = Math.pow(A[row,col], s).
static DoubleMatrix2D	Transform.pow(DoubleMatrix2D A, DoubleMatrix2D B)	Deprecated. A = AB invalid input: '<'=> A[row,col] = Math.pow(A[row,col], B[row,col]).
DoubleMatrix2D	Sorting.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	Sorting.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	Sorting.sort(DoubleMatrix2D matrix, DoubleMatrix1DComparator c)	Sorts the matrix rows according to the order induced by the specified comparator.
DoubleMatrix2D	Sorting.sort(DoubleMatrix2D matrix, BinFunction1D 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.
static int	Stencil.stencil9(DoubleMatrix2D A, Double9Function function, int maxIterations, DoubleMatrix2DProcedure hasConverged, int convergenceIterations)	9 point stencil operation.
String	Formatter.toSourceCode(DoubleMatrix2D matrix)	Returns a string s such that Object[] m = s is a legal Java statement.
String	Formatter.toString(DoubleMatrix2D matrix)	Returns a string representation of the given matrix.
protected String	Formatter.toTitleString(DoubleMatrix2D matrix, String[] rowNames, String[] columnNames, String rowAxisName, String columnAxisName, String title)	Returns a string representation of the given matrix with axis as well as rows and columns labeled.
String	Formatter.toTitleString(DoubleMatrix2D matrix, String[] rowNames, String[] columnNames, String rowAxisName, String columnAxisName, String title, BinFunction1D[] aggr)	Same as toTitleString except that additionally statistical aggregates (mean, median, sum, etc.) of rows and columns are printed.
static DoubleMatrix2D	Statistic.viewSample(DoubleMatrix2D matrix, double rowFraction, double columnFraction, RandomEngine randomGenerator)	Constructs and returns a sampling view with round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
private static DoubleMatrix2D	Statistic.xdistanceOld(DoubleMatrix2D matrix, int norm)	Constructs and returns the distance matrix of the given matrix.
private static DoubleMatrix2D	Statistic.xdistanceOld2(DoubleMatrix2D matrix, int norm)	Constructs and returns the distance matrix of the given matrix.
private static int	Partitioning.xPartitionOld(DoubleMatrix2D matrix, DoubleMatrix1D column, int from, int to, double splitter)	Same as invalid reference #partition(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.
private static void	Partitioning.xPartitionOld(DoubleMatrix2D matrix, DoubleMatrix1D column, int from, int to, double[] splitters, int splitFrom, int splitTo, int[] splitIndexes)	Same as invalid reference #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.

Uses of DoubleMatrix2D in cern.colt.matrix.impl

Subclasses of DoubleMatrix2D in cern.colt.matrix.impl

Modifier and Type	Class	Description
class	DenseDoubleMatrix2D	Dense 2-d matrix holding double elements.
class	RCDoubleMatrix2D	Sparse row-compressed 2-d matrix holding double elements.
(package private) class	RCMDoubleMatrix2D	Sparse row-compressed-modified 2-d matrix holding double elements.
(package private) class	SelectedDenseDoubleMatrix2D	Selection view on dense 2-d matrices holding double elements.
(package private) class	SelectedSparseDoubleMatrix2D	Selection view on sparse 2-d matrices holding double elements.
class	SparseDoubleMatrix2D	Sparse hashed 2-d matrix holding double elements.
(package private) class	TridiagonalDoubleMatrix2D	Tridiagonal 2-d matrix holding double elements.
(package private) class	WrapperDoubleMatrix2D	2-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Fields in cern.colt.matrix.impl declared as DoubleMatrix2D

Modifier and Type	Field	Description
protected DoubleMatrix2D	DelegateDoubleMatrix1D.content
protected DoubleMatrix2D	WrapperDoubleMatrix2D.content

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

Modifier and Type	Method	Description
DoubleMatrix2D	DenseDoubleMatrix2D.assign(double value)	Sets all cells to the state specified by value.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(double[][] values)	Sets all cells to the state specified by values.
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleFunction function)	Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DenseDoubleMatrix2D.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	RCDoubleMatrix2D.assign(double value)	Sets all cells to the state specified by value.
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleFunction function)
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	RCMDoubleMatrix2D.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	SparseDoubleMatrix2D.assign(DoubleFunction function)	Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(double value)	Sets all cells to the state specified by value.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleFunction function)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	RCDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	SparseDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
protected DoubleMatrix2D	RCDoubleMatrix2D.getContent()	Returns the content of this matrix if it is a wrapper; or this otherwise.
protected DoubleMatrix2D	RCMDoubleMatrix2D.getContent()	Returns the content of this matrix if it is a wrapper; or this otherwise.
protected DoubleMatrix2D	TridiagonalDoubleMatrix2D.getContent()	Returns the content of this matrix if it is a wrapper; or this otherwise.
protected DoubleMatrix2D	WrapperDoubleMatrix2D.getContent()	Returns the content of this matrix if it is a wrapper; or this otherwise.
DoubleMatrix2D	DenseDoubleMatrix2D.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	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	RCMDoubleMatrix2D.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	SelectedDenseDoubleMatrix2D.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	SelectedSparseDoubleMatrix2D.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	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	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	DelegateDoubleMatrix1D.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)	Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
protected DoubleMatrix2D	DenseDoubleMatrix3D.like2D(int rows, int columns, int rowZero, int columnZero, int rowStride, int columnStride)	Construct and returns a new 2-d matrix of the corresponding dynamic type, sharing the same cells.
DoubleMatrix2D	SelectedDenseDoubleMatrix1D.like2D(int rows, int columns)	Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
protected DoubleMatrix2D	SelectedDenseDoubleMatrix3D.like2D(int rows, int columns, int rowZero, int columnZero, int rowStride, int columnStride)	Construct and returns a new 2-d matrix of the corresponding dynamic type, sharing the same cells.
DoubleMatrix2D	SelectedSparseDoubleMatrix1D.like2D(int rows, int columns)	Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
protected DoubleMatrix2D	SelectedSparseDoubleMatrix3D.like2D(int rows, int columns, int rowZero, int columnZero, int rowStride, int columnStride)	Construct and returns a new 2-d matrix of the corresponding dynamic type, sharing the same cells.
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.
protected DoubleMatrix2D	SparseDoubleMatrix3D.like2D(int rows, int columns, int rowZero, int columnZero, int rowStride, int columnStride)	Construct and returns a new 2-d matrix of the corresponding dynamic type, sharing the same cells.
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	SelectedDenseDoubleMatrix3D.viewColumn(int column)	Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.
DoubleMatrix2D	SelectedSparseDoubleMatrix3D.viewColumn(int column)	Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.
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	SelectedDenseDoubleMatrix3D.viewRow(int row)	Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.
DoubleMatrix2D	SelectedSparseDoubleMatrix3D.viewRow(int row)	Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.
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.
protected DoubleMatrix2D	DenseDoubleMatrix2D.viewSelectionLike(int[] rowOffsets, int[] columnOffsets)	Construct and returns a new selection view.
protected DoubleMatrix2D	SelectedDenseDoubleMatrix2D.viewSelectionLike(int[] rowOffsets, int[] columnOffsets)	Construct and returns a new selection view.
protected DoubleMatrix2D	SelectedSparseDoubleMatrix2D.viewSelectionLike(int[] rowOffsets, int[] columnOffsets)	Construct and returns a new selection view.
protected DoubleMatrix2D	SparseDoubleMatrix2D.viewSelectionLike(int[] rowOffsets, int[] columnOffsets)	Construct and returns a new selection view.
protected DoubleMatrix2D	WrapperDoubleMatrix2D.viewSelectionLike(int[] rowOffsets, int[] columnOffsets)	Construct and returns a new selection view.
DoubleMatrix2D	SelectedDenseDoubleMatrix3D.viewSlice(int slice)	Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
DoubleMatrix2D	SelectedSparseDoubleMatrix3D.viewSlice(int slice)	Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
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	DenseDoubleMatrix2D.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	SparseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)

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

Modifier and Type	Method	Description
DoubleMatrix2D	DenseDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	DenseDoubleMatrix2D.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	RCDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	RCDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	SparseDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D source)	Replaces all cell values of the receiver with the values of another matrix.
DoubleMatrix2D	TridiagonalDoubleMatrix2D.assign(DoubleMatrix2D y, DoubleDoubleFunction function)
protected boolean	DenseDoubleMatrix2D.haveSharedCellsRaw(DoubleMatrix2D other)	Returns true if both matrices share common cells.
protected boolean	SelectedDenseDoubleMatrix2D.haveSharedCellsRaw(DoubleMatrix2D other)	Returns true if both matrices share common cells.
protected boolean	SelectedSparseDoubleMatrix2D.haveSharedCellsRaw(DoubleMatrix2D other)	Returns true if both matrices share common cells.
protected boolean	SparseDoubleMatrix2D.haveSharedCellsRaw(DoubleMatrix2D other)	Returns true if both matrices share common cells.
void	DenseDoubleMatrix2D.zAssign8Neighbors(DoubleMatrix2D B, Double9Function function)	8 neighbor stencil transformation.
DoubleMatrix2D	DenseDoubleMatrix2D.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	SparseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
DoubleMatrix2D	TridiagonalDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)

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

Modifier	Constructor	Description
	DelegateDoubleMatrix1D(DoubleMatrix2D newContent, int row)
	WrapperDoubleMatrix2D(DoubleMatrix2D newContent)	Constructs a matrix with a copy of the given values.

Uses of DoubleMatrix2D in cern.colt.matrix.linalg

Fields in cern.colt.matrix.linalg declared as DoubleMatrix2D

Modifier and Type	Field	Description
private DoubleMatrix2D	CholeskyDecomposition.L	Array for internal storage of decomposition.
protected DoubleMatrix2D	LUDecompositionQuick.LU	Array for internal storage of decomposition.
private DoubleMatrix2D	QRDecomposition.QR	Array for internal storage of decomposition.

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

Modifier and Type	Method	Description
DoubleMatrix2D	EigenvalueDecomposition.getD()	Returns the block diagonal eigenvalue matrix, D.
DoubleMatrix2D	QRDecomposition.getH()	Returns the Householder vectors H.
DoubleMatrix2D	CholeskyDecomposition.getL()	Returns the triangular factor, L.
DoubleMatrix2D	LUDecomposition.getL()	Returns the lower triangular factor, L.
DoubleMatrix2D	LUDecompositionQuick.getL()	Returns the lower triangular factor, L.
DoubleMatrix2D	LUDecompositionQuick.getLU()	Returns a copy of the combined lower and upper triangular factor, LU.
DoubleMatrix2D	QRDecomposition.getQ()	Generates and returns the (economy-sized) orthogonal factor Q.
DoubleMatrix2D	QRDecomposition.getR()	Returns the upper triangular factor, R.
DoubleMatrix2D	SingularValueDecomposition.getS()	Returns the diagonal matrix of singular values.
DoubleMatrix2D	LUDecomposition.getU()	Returns the upper triangular factor, U.
DoubleMatrix2D	LUDecompositionQuick.getU()	Returns the upper triangular factor, U.
DoubleMatrix2D	SingularValueDecomposition.getU()	Returns the left singular vectors U.
DoubleMatrix2D	EigenvalueDecomposition.getV()	Returns the eigenvector matrix, V
DoubleMatrix2D	SingularValueDecomposition.getV()	Returns the right singular vectors V.
DoubleMatrix2D	Algebra.inverse(DoubleMatrix2D A)	Returns the inverse or pseudo-inverse of matrix A.
protected DoubleMatrix2D	LUDecompositionQuick.lowerTriangular(DoubleMatrix2D A)	Modifies the matrix to be a lower triangular matrix.
DoubleMatrix2D	Algebra.mult(DoubleMatrix2D A, DoubleMatrix2D B)	Linear algebraic matrix-matrix multiplication; C = A x B.
DoubleMatrix2D	Algebra.multOuter(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)	Outer product of two vectors; Sets A[i,j] = x[i] * y[j].
DoubleMatrix2D	Algebra.permute(DoubleMatrix2D A, int[] rowIndexes, int[] columnIndexes)	Constructs and returns a new row and column permuted selection view of matrix A; equivalent to DoubleMatrix2D.viewSelection(int[],int[]).
DoubleMatrix2D	Algebra.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	Algebra.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	Algebra.pow(DoubleMatrix2D A, int p)	Linear algebraic matrix power; B = Ak invalid input: '<'==> B = A*A*...*A.
DoubleMatrix2D	Algebra.solve(DoubleMatrix2D A, DoubleMatrix2D B)	Solves A*X = B.
DoubleMatrix2D	CholeskyDecomposition.solve(DoubleMatrix2D B)	Solves A*X = B; returns X.
DoubleMatrix2D	LUDecomposition.solve(DoubleMatrix2D B)	Solves A*X = B.
DoubleMatrix2D	QRDecomposition.solve(DoubleMatrix2D B)	Least squares solution of A*X = B; returns X.
DoubleMatrix2D	Algebra.solveTranspose(DoubleMatrix2D A, DoubleMatrix2D B)	Solves X*A = B, which is also A'*X' = B'.
protected DoubleMatrix2D[]	Smp.splitBlockedNN(DoubleMatrix2D A, int threshold, long flops)
protected DoubleMatrix2D[][]	Smp.splitBlockedNN(DoubleMatrix2D A, DoubleMatrix2D B, int threshold, long flops)
protected DoubleMatrix2D[]	Smp.splitStridedNN(DoubleMatrix2D A, int threshold, long flops)
private DoubleMatrix2D	Algebra.subMatrix(DoubleMatrix2D A, int[] rowIndexes, int columnFrom, int columnTo)	Copies the columns of the indicated rows into a new sub matrix.
private DoubleMatrix2D	Algebra.subMatrix(DoubleMatrix2D A, int rowFrom, int rowTo, int[] columnIndexes)	Copies the rows of the indicated columns into a new sub matrix.
DoubleMatrix2D	Algebra.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	Algebra.transpose(DoubleMatrix2D A)	Constructs and returns a new view which is the transposition of the given matrix A.
protected DoubleMatrix2D	Algebra.trapezoidalLower(DoubleMatrix2D A)	Modifies the matrix to be a lower trapezoidal matrix.
protected DoubleMatrix2D	LUDecompositionQuick.upperTriangular(DoubleMatrix2D A)	Modifies the matrix to be an upper triangular matrix.
private DoubleMatrix2D	Algebra.xmultOuter(DoubleMatrix1D x, DoubleMatrix1D y)	Outer product of two vectors; Returns a matrix with A[i,j] = x[i] * y[j].
private DoubleMatrix2D	Algebra.xpowSlow(DoubleMatrix2D A, int k)	Linear algebraic matrix power; B = Ak invalid input: '<'==> B = A*A*...*A.
private DoubleMatrix2D	CholeskyDecomposition.XXXsolveBuggy(DoubleMatrix2D B)	Solves A*X = B; returns X.

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

Modifier and Type	Method	Description
double	Matrix2DMatrix2DFunction.apply(DoubleMatrix2D x, DoubleMatrix2D y)	Applies a function to two arguments.
void	Blas.assign(DoubleMatrix2D A, DoubleFunction function)	Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
void	Blas.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]).
void	SeqBlas.assign(DoubleMatrix2D A, DoubleFunction function)
void	SeqBlas.assign(DoubleMatrix2D A, DoubleMatrix2D B, DoubleDoubleFunction function)
void	SmpBlas.assign(DoubleMatrix2D A, DoubleFunction function)
void	SmpBlas.assign(DoubleMatrix2D A, DoubleMatrix2D B, DoubleDoubleFunction function)
void	Property.checkRectangular(DoubleMatrix2D A)	Checks whether the given matrix A is rectangular.
void	Property.checkSquare(DoubleMatrix2D A)	Checks whether the given matrix A is square.
private CholeskyDecomposition	Algebra.chol(DoubleMatrix2D matrix)	Constructs and returns the cholesky-decomposition of the given matrix.
double	Algebra.cond(DoubleMatrix2D A)	Returns the condition of matrix A, which is the ratio of largest to smallest singular value.
void	Blas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)	Combined matrix scaling; B = B + alpha*A.
void	SeqBlas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)
void	SmpBlas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)
void	Blas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)	Matrix assignment (copying); B = A.
void	SeqBlas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)
void	SmpBlas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)
void	LUDecompositionQuick.decompose(DoubleMatrix2D A)	Decomposes matrix A into L and U (in-place).
void	LUDecompositionQuick.decompose(DoubleMatrix2D A, int semiBandwidth)	Decomposes the banded and square matrix A into L and U (in-place).
double	Property.density(DoubleMatrix2D A)	Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
double	Algebra.det(DoubleMatrix2D A)	Returns the determinant of matrix A.
void	Blas.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	SeqBlas.dgemm(boolean transposeA, boolean transposeB, double alpha, DoubleMatrix2D A, DoubleMatrix2D B, double beta, DoubleMatrix2D C)
void	SmpBlas.dgemm(boolean transposeA, boolean transposeB, double alpha, DoubleMatrix2D A, DoubleMatrix2D B, double beta, DoubleMatrix2D C)
void	Blas.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	SeqBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
void	SmpBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
void	Blas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)	Performs a rank 1 update; A = A + alpha*x*y'.
void	SeqBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
void	SmpBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
void	Blas.dscal(double alpha, DoubleMatrix2D A)	Matrix scaling; A = alpha*A.
void	SeqBlas.dscal(double alpha, DoubleMatrix2D A)
void	SmpBlas.dscal(double alpha, DoubleMatrix2D A)
void	Blas.dswap(DoubleMatrix2D x, DoubleMatrix2D y)	Swaps the elements of two matrices; B invalid input: '<'==> A.
void	SeqBlas.dswap(DoubleMatrix2D A, DoubleMatrix2D B)
void	SmpBlas.dswap(DoubleMatrix2D A, DoubleMatrix2D B)
void	Blas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)	Symmetric matrix-vector multiplication; y = alpha*A*x + beta*y.
void	SeqBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
void	SmpBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
void	Blas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)	Triangular matrix-vector multiplication; x = A*x or x = A'*x.
void	SeqBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
void	SmpBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
private EigenvalueDecomposition	Algebra.eig(DoubleMatrix2D matrix)	Constructs and returns the Eigenvalue-decomposition of the given matrix.
boolean	Property.equals(DoubleMatrix2D A, double value)	Returns whether all cells of the given matrix A are equal to the given value.
boolean	Property.equals(DoubleMatrix2D A, DoubleMatrix2D B)	Returns whether both given matrices A and B are equal.
void	Property.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.
DoubleMatrix2D	Algebra.inverse(DoubleMatrix2D A)	Returns the inverse or pseudo-inverse of matrix A.
static boolean	Diagonal.inverse(DoubleMatrix2D A)	Modifies A to hold its inverse.
boolean	Property.isDiagonal(DoubleMatrix2D A)	A matrix A is diagonal if A[i,j] == 0 whenever i != j.
boolean	Property.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	Property.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	Property.isIdentity(DoubleMatrix2D A)	A matrix A is an identity matrix if A[i,i] == 1 and all other cells are zero.
boolean	Property.isLowerBidiagonal(DoubleMatrix2D A)	A matrix A is lower bidiagonal if A[i,j]==0 unless i==j || i==j+1.
boolean	Property.isLowerTriangular(DoubleMatrix2D A)	A matrix A is lower triangular if A[i,j]==0 whenever i < j.
boolean	Property.isNonNegative(DoubleMatrix2D A)	A matrix A is non-negative if A[i,j] >= 0 holds for all cells.
protected boolean	LUDecompositionQuick.isNonsingular(DoubleMatrix2D matrix)	Returns whether the matrix is nonsingular.
boolean	Property.isOrthogonal(DoubleMatrix2D A)	A square matrix A is orthogonal if A*transpose(A) = I.
boolean	Property.isPositive(DoubleMatrix2D A)	A matrix A is positive if A[i,j] > 0 holds for all cells.
boolean	Property.isSingular(DoubleMatrix2D A)	A matrix A is singular if it has no inverse, that is, iff det(A)==0.
boolean	Property.isSkewSymmetric(DoubleMatrix2D A)	A square matrix A is skew-symmetric if A = -transpose(A), that is A[i,j] == -A[j,i].
boolean	Property.isSquare(DoubleMatrix2D A)	A matrix A is square if it has the same number of rows and columns.
boolean	Property.isStrictlyLowerTriangular(DoubleMatrix2D A)	A matrix A is strictly lower triangular if A[i,j]==0 whenever i <= j.
boolean	Property.isStrictlyTriangular(DoubleMatrix2D A)	A matrix A is strictly triangular if it is triangular and its diagonal elements all equal 0.
boolean	Property.isStrictlyUpperTriangular(DoubleMatrix2D A)	A matrix A is strictly upper triangular if A[i,j]==0 whenever i >= j.
boolean	Property.isSymmetric(DoubleMatrix2D A)	A matrix A is symmetric if A = tranpose(A), that is A[i,j] == A[j,i].
boolean	Property.isTriangular(DoubleMatrix2D A)	A matrix A is triangular iff it is either upper or lower triangular.
boolean	Property.isTridiagonal(DoubleMatrix2D A)	A matrix A is tridiagonal if A[i,j]==0 whenever Math.abs(i-j) > 1.
boolean	Property.isUnitTriangular(DoubleMatrix2D A)	A matrix A is unit triangular if it is triangular and its diagonal elements all equal 1.
boolean	Property.isUpperBidiagonal(DoubleMatrix2D A)	A matrix A is upper bidiagonal if A[i,j]==0 unless i==j || i==j-1.
boolean	Property.isUpperTriangular(DoubleMatrix2D A)	A matrix A is upper triangular if A[i,j]==0 whenever i > j.
boolean	Property.isZero(DoubleMatrix2D A)	A matrix A is zero if all its cells are zero.
int	Property.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.
protected DoubleMatrix2D	LUDecompositionQuick.lowerTriangular(DoubleMatrix2D A)	Modifies the matrix to be a lower triangular matrix.
private LUDecomposition	Algebra.lu(DoubleMatrix2D matrix)	Constructs and returns the LU-decomposition of the given matrix.
DoubleMatrix1D	Algebra.mult(DoubleMatrix2D A, DoubleMatrix1D y)	Linear algebraic matrix-vector multiplication; z = A * y.
DoubleMatrix2D	Algebra.mult(DoubleMatrix2D A, DoubleMatrix2D B)	Linear algebraic matrix-matrix multiplication; C = A x B.
DoubleMatrix2D	Algebra.multOuter(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)	Outer product of two vectors; Sets A[i,j] = x[i] * y[j].
double	Algebra.norm1(DoubleMatrix2D A)	Returns the one-norm of matrix A, which is the maximum absolute column sum.
double	Algebra.norm2(DoubleMatrix2D A)	Returns the two-norm of matrix A, which is the maximum singular value; obtained from SVD.
double	Algebra.normF(DoubleMatrix2D A)	Returns the Frobenius norm of matrix A, which is Sqrt(Sum(A[i,j]2)).
double	Algebra.normInfinity(DoubleMatrix2D A)	Returns the infinity norm of matrix A, which is the maximum absolute row sum.
DoubleMatrix2D	Algebra.permute(DoubleMatrix2D A, int[] rowIndexes, int[] columnIndexes)	Constructs and returns a new row and column permuted selection view of matrix A; equivalent to DoubleMatrix2D.viewSelection(int[],int[]).
DoubleMatrix2D	Algebra.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	Algebra.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	Algebra.pow(DoubleMatrix2D A, int p)	Linear algebraic matrix power; B = Ak invalid input: '<'==> B = A*A*...*A.
private QRDecomposition	Algebra.qr(DoubleMatrix2D matrix)	Constructs and returns the QR-decomposition of the given matrix.
int	Algebra.rank(DoubleMatrix2D A)	Returns the effective numerical rank of matrix A, obtained from Singular Value Decomposition.
protected void	Smp.run(DoubleMatrix2D[] blocksA, DoubleMatrix2D[] blocksB, double[] results, Matrix2DMatrix2DFunction function)
protected double[]	SmpBlas.run(DoubleMatrix2D A, boolean collectResults, Matrix2DMatrix2DFunction fun)
protected double[]	SmpBlas.run(DoubleMatrix2D A, DoubleMatrix2D B, boolean collectResults, Matrix2DMatrix2DFunction fun)
int	Property.semiBandwidth(DoubleMatrix2D A)	Returns the semi-bandwidth of the given square matrix A.
void	LUDecompositionQuick.setLU(DoubleMatrix2D LU)	Sets the combined lower and upper triangular factor, LU.
DoubleMatrix2D	Algebra.solve(DoubleMatrix2D A, DoubleMatrix2D B)	Solves A*X = B.
DoubleMatrix2D	CholeskyDecomposition.solve(DoubleMatrix2D B)	Solves A*X = B; returns X.
DoubleMatrix2D	LUDecomposition.solve(DoubleMatrix2D B)	Solves A*X = B.
void	LUDecompositionQuick.solve(DoubleMatrix2D B)	Solves the system of equations A*X = B (in-place).
DoubleMatrix2D	QRDecomposition.solve(DoubleMatrix2D B)	Least squares solution of A*X = B; returns X.
private void	LUDecompositionQuick.solveOld(DoubleMatrix2D B)	Solves A*X = B.
DoubleMatrix2D	Algebra.solveTranspose(DoubleMatrix2D A, DoubleMatrix2D B)	Solves X*A = B, which is also A'*X' = B'.
protected DoubleMatrix2D[]	Smp.splitBlockedNN(DoubleMatrix2D A, int threshold, long flops)
protected DoubleMatrix2D[][]	Smp.splitBlockedNN(DoubleMatrix2D A, DoubleMatrix2D B, int threshold, long flops)
protected DoubleMatrix2D[]	Smp.splitStridedNN(DoubleMatrix2D A, int threshold, long flops)
private DoubleMatrix2D	Algebra.subMatrix(DoubleMatrix2D A, int[] rowIndexes, int columnFrom, int columnTo)	Copies the columns of the indicated rows into a new sub matrix.
private DoubleMatrix2D	Algebra.subMatrix(DoubleMatrix2D A, int rowFrom, int rowTo, int[] columnIndexes)	Copies the rows of the indicated columns into a new sub matrix.
DoubleMatrix2D	Algebra.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].
private SingularValueDecomposition	Algebra.svd(DoubleMatrix2D matrix)	Constructs and returns the SingularValue-decomposition of the given matrix.
String	Algebra.toString(DoubleMatrix2D matrix)	Returns a String with (propertyName, propertyValue) pairs.
String	Property.toString(DoubleMatrix2D A)	Returns summary information about the given matrix A.
String	Algebra.toVerboseString(DoubleMatrix2D matrix)	Returns the results of toString(A) and additionally the results of all sorts of decompositions applied to the given matrix.
double	Algebra.trace(DoubleMatrix2D A)	Returns the sum of the diagonal elements of matrix A; Sum(A[i,i]).
DoubleMatrix2D	Algebra.transpose(DoubleMatrix2D A)	Constructs and returns a new view which is the transposition of the given matrix A.
protected DoubleMatrix2D	Algebra.trapezoidalLower(DoubleMatrix2D A)	Modifies the matrix to be a lower trapezoidal matrix.
int	Property.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.
protected DoubleMatrix2D	LUDecompositionQuick.upperTriangular(DoubleMatrix2D A)	Modifies the matrix to be an upper triangular matrix.
private DoubleMatrix2D	Algebra.xpowSlow(DoubleMatrix2D A, int k)	Linear algebraic matrix power; B = Ak invalid input: '<'==> B = A*A*...*A.
private double	SmpBlas.xsum(DoubleMatrix2D A)
private DoubleMatrix2D	CholeskyDecomposition.XXXsolveBuggy(DoubleMatrix2D B)	Solves A*X = B; returns X.

Constructors in cern.colt.matrix.linalg with parameters of type DoubleMatrix2D

Modifier	Constructor	Description
	CholeskyDecomposition(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.
	EigenvalueDecomposition(DoubleMatrix2D A)	Constructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
	LUDecomposition(DoubleMatrix2D A)	Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
	QRDecomposition(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.
	SingularValueDecomposition(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.