Uses of Class
cern.colt.matrix.DoubleMatrix2D
Packages that use DoubleMatrix2D
Package
Description
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.
Matrix benchmarks.
Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
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.Linear Algebraic matrix computations operating on
DoubleMatrix2D
and DoubleMatrix1D
.-
Uses of DoubleMatrix2D in cern.colt.matrix
Methods in cern.colt.matrix that return DoubleMatrix2DModifier and TypeMethodDescriptionDoubleFactory2D.appendColumns
(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.DoubleFactory2D.appendRows
(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.DoubleFactory2D.ascending
(int rows, int columns) Constructs a matrix with cells having ascending values.DoubleMatrix2D.assign
(double value) Sets all cells to the state specified by value.DoubleMatrix2D.assign
(double[][] values) Sets all cells to the state specified by values.DoubleMatrix2D.assign
(DoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).DoubleMatrix2D.assign
(DoubleMatrix2D other) Replaces all cell values of the receiver with the values of another matrix.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]).DoubleFactory2D.compose
(DoubleMatrix2D[][] parts) Constructs a block matrix made from the given parts.DoubleFactory2D.composeDiagonal
(DoubleMatrix2D A, DoubleMatrix2D B) Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).DoubleFactory2D.composeDiagonal
(DoubleMatrix2D A, DoubleMatrix2D B, DoubleMatrix2D C) Constructs a diagonal block matrix from the given parts.DoubleMatrix2D.copy()
Constructs and returns a deep copy of the receiver.DoubleFactory2D.descending
(int rows, int columns) Constructs a matrix with cells having descending values.DoubleFactory2D.diagonal
(DoubleMatrix1D vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.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.DoubleFactory2D.identity
(int rowsAndColumns) Constructs an identity matrix (having ones on the diagonal and zeros elsewhere).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.DoubleFactory2D.make
(double[][] values) Constructs a matrix with the given cell values.DoubleFactory2D.make
(double[] values, int rows) Construct a matrix from a one-dimensional column-major packed array, ala Fortran.DoubleFactory2D.make
(int rows, int columns) Constructs a matrix with the given shape, each cell initialized with zero.DoubleFactory2D.make
(int rows, int columns, double initialValue) Constructs a matrix with the given shape, each cell initialized with the given value.DoubleFactory2D.random
(int rows, int columns) Constructs a matrix with uniformly distributed values in (0,1) (exclusive).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.DoubleFactory2D.sample
(int rows, int columns, double value, double nonZeroFraction) Constructs a randomly sampled matrix with the given shape.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.DoubleMatrix3D.viewColumn
(int column) Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.DoubleMatrix2D.viewColumnFlip()
Constructs and returns a new flip view along the column axis.DoubleMatrix2D.viewDice()
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.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].DoubleMatrix3D.viewRow
(int row) Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.DoubleMatrix2D.viewRowFlip()
Constructs and returns a new flip view along the row axis.DoubleMatrix2D.viewSelection
(int[] rowIndexes, int[] columnIndexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.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.DoubleMatrix3D.viewSlice
(int slice) Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.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.viewStrides
(int rowStride, int columnStride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.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.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 DoubleMatrix2DModifier and TypeMethodDescriptiondouble
DoubleMatrix2D.aggregate
(DoubleMatrix2D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f) Applies a function to each corresponding cell of two matrices and aggregates the results.DoubleFactory2D.appendColumns
(DoubleMatrix2D A, DoubleMatrix2D B) C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.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.assign
(DoubleMatrix2D other) Replaces all cell values of the receiver with the values of another matrix.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.DoubleFactory2D.compose
(DoubleMatrix2D[][] parts) Constructs a block matrix made from the given parts.DoubleFactory2D.composeDiagonal
(DoubleMatrix2D A, DoubleMatrix2D B) Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).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.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.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.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.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.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 DoubleMatrix2DModifier and TypeFieldDescriptionDouble2DProcedure.A
Double2DProcedure.B
Double2DProcedure.C
Double2DProcedure.D
Methods in cern.colt.matrix.bench with parameters of type DoubleMatrix2DModifier and TypeMethodDescriptionvoid
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 DoubleMatrix2DModifier and TypeMethodDescriptionstatic 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 asPartitioning.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]).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.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.Sorting.sort
(DoubleMatrix2D matrix, DoubleMatrix1DComparator c) Sorts the matrix rows according to the order induced by the specified comparator.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 DoubleMatrix2DModifier and TypeMethodDescriptionstatic 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 asPartitioning.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 asPartitioning.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]).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.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.Sorting.sort
(DoubleMatrix2D matrix, DoubleMatrix1DComparator c) Sorts the matrix rows according to the order induced by the specified comparator.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.Formatter.toSourceCode
(DoubleMatrix2D matrix) Returns a string s such that Object[] m = s is a legal Java statement.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.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 asinvalid reference
#partition(int[],int,int,int)
private static void
Partitioning.xPartitionOld
(DoubleMatrix2D matrix, DoubleMatrix1D column, int from, int to, double[] splitters, int splitFrom, int splitTo, int[] splitIndexes) Same asinvalid reference
#partition(int[],int,int,int[],int,int,int[])
-
Uses of DoubleMatrix2D in cern.colt.matrix.impl
Subclasses of DoubleMatrix2D in cern.colt.matrix.implModifier and TypeClassDescriptionclass
Dense 2-d matrix holding double elements.class
Sparse row-compressed 2-d matrix holding double elements.(package private) class
Sparse row-compressed-modified 2-d matrix holding double elements.(package private) class
Selection view on dense 2-d matrices holding double elements.(package private) class
Selection view on sparse 2-d matrices holding double elements.class
Sparse hashed 2-d matrix holding double elements.(package private) class
Tridiagonal 2-d matrix holding double elements.(package private) class
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 DoubleMatrix2DModifier and TypeFieldDescriptionprotected DoubleMatrix2D
DelegateDoubleMatrix1D.content
protected DoubleMatrix2D
WrapperDoubleMatrix2D.content
Methods in cern.colt.matrix.impl that return DoubleMatrix2DModifier and TypeMethodDescriptionDenseDoubleMatrix2D.assign
(double value) Sets all cells to the state specified by value.DenseDoubleMatrix2D.assign
(double[][] values) Sets all cells to the state specified by values.DenseDoubleMatrix2D.assign
(DoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).DenseDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.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]).RCDoubleMatrix2D.assign
(double value) Sets all cells to the state specified by value.RCDoubleMatrix2D.assign
(DoubleFunction function) RCDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.RCDoubleMatrix2D.assign
(DoubleMatrix2D y, DoubleDoubleFunction function) RCMDoubleMatrix2D.assign
(double value) Sets all cells to the state specified by value.SparseDoubleMatrix2D.assign
(double value) Sets all cells to the state specified by value.SparseDoubleMatrix2D.assign
(DoubleFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).SparseDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.SparseDoubleMatrix2D.assign
(DoubleMatrix2D y, DoubleDoubleFunction function) TridiagonalDoubleMatrix2D.assign
(double value) Sets all cells to the state specified by value.TridiagonalDoubleMatrix2D.assign
(DoubleFunction function) TridiagonalDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.TridiagonalDoubleMatrix2D.assign
(DoubleMatrix2D y, DoubleDoubleFunction function) RCDoubleMatrix2D.forEachNonZero
(IntIntDoubleFunction function) SparseDoubleMatrix2D.forEachNonZero
(IntIntDoubleFunction function) 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.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.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.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.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.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.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.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.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.DelegateDoubleMatrix1D.like2D
(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.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.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.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.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.WrapperDoubleMatrix1D.like2D
(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.SelectedDenseDoubleMatrix3D.viewColumn
(int column) Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.SelectedSparseDoubleMatrix3D.viewColumn
(int column) Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.WrapperDoubleMatrix2D.viewColumnFlip()
Constructs and returns a new flip view along the column axis.WrapperDoubleMatrix2D.viewDice()
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.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].SelectedDenseDoubleMatrix3D.viewRow
(int row) Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.SelectedSparseDoubleMatrix3D.viewRow
(int row) Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.WrapperDoubleMatrix2D.viewRowFlip()
Constructs and returns a new flip view along the row axis.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.SelectedDenseDoubleMatrix3D.viewSlice
(int slice) Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.SelectedSparseDoubleMatrix3D.viewSlice
(int slice) Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.WrapperDoubleMatrix2D.viewStrides
(int _rowStride, int _columnStride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.DenseDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) RCDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) SparseDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) TridiagonalDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) Methods in cern.colt.matrix.impl with parameters of type DoubleMatrix2DModifier and TypeMethodDescriptionDenseDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.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]).RCDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.RCDoubleMatrix2D.assign
(DoubleMatrix2D y, DoubleDoubleFunction function) SparseDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.SparseDoubleMatrix2D.assign
(DoubleMatrix2D y, DoubleDoubleFunction function) TridiagonalDoubleMatrix2D.assign
(DoubleMatrix2D source) Replaces all cell values of the receiver with the values of another matrix.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.DenseDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) RCDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) SparseDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) TridiagonalDoubleMatrix2D.zMult
(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB) Constructors in cern.colt.matrix.impl with parameters of type DoubleMatrix2DModifierConstructorDescriptionDelegateDoubleMatrix1D
(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 DoubleMatrix2DModifier and TypeFieldDescriptionprivate 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 DoubleMatrix2DModifier and TypeMethodDescriptionEigenvalueDecomposition.getD()
Returns the block diagonal eigenvalue matrix, D.QRDecomposition.getH()
Returns the Householder vectors H.CholeskyDecomposition.getL()
Returns the triangular factor, L.LUDecomposition.getL()
Returns the lower triangular factor, L.LUDecompositionQuick.getL()
Returns the lower triangular factor, L.LUDecompositionQuick.getLU()
Returns a copy of the combined lower and upper triangular factor, LU.QRDecomposition.getQ()
Generates and returns the (economy-sized) orthogonal factor Q.QRDecomposition.getR()
Returns the upper triangular factor, R.SingularValueDecomposition.getS()
Returns the diagonal matrix of singular values.LUDecomposition.getU()
Returns the upper triangular factor, U.LUDecompositionQuick.getU()
Returns the upper triangular factor, U.SingularValueDecomposition.getU()
Returns the left singular vectors U.EigenvalueDecomposition.getV()
Returns the eigenvector matrix, VSingularValueDecomposition.getV()
Returns the right singular vectors V.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.Algebra.mult
(DoubleMatrix2D A, DoubleMatrix2D B) Linear algebraic matrix-matrix multiplication; C = A x B.Algebra.multOuter
(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) Outer product of two vectors; Sets A[i,j] = x[i] * y[j].Algebra.permute
(DoubleMatrix2D A, int[] rowIndexes, int[] columnIndexes) Constructs and returns a new row and column permuted selection view of matrix A; equivalent toviewSelection(int[],int[])
.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.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.Algebra.pow
(DoubleMatrix2D A, int p) Linear algebraic matrix power; B = Ak invalid input: '<'==> B = A*A*...*A.Algebra.solve
(DoubleMatrix2D A, DoubleMatrix2D B) Solves A*X = B.CholeskyDecomposition.solve
(DoubleMatrix2D B) Solves A*X = B; returns X.LUDecomposition.solve
(DoubleMatrix2D B) Solves A*X = B.QRDecomposition.solve
(DoubleMatrix2D B) Least squares solution of A*X = B; returns X.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.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].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 DoubleMatrix2DModifier and TypeMethodDescriptiondouble
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.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.Algebra.mult
(DoubleMatrix2D A, DoubleMatrix1D y) Linear algebraic matrix-vector multiplication; z = A * y.Algebra.mult
(DoubleMatrix2D A, DoubleMatrix2D B) Linear algebraic matrix-matrix multiplication; C = A x B.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.Algebra.permute
(DoubleMatrix2D A, int[] rowIndexes, int[] columnIndexes) Constructs and returns a new row and column permuted selection view of matrix A; equivalent toviewSelection(int[],int[])
.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.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.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.Algebra.solve
(DoubleMatrix2D A, DoubleMatrix2D B) Solves A*X = B.CholeskyDecomposition.solve
(DoubleMatrix2D B) Solves A*X = B; returns X.LUDecomposition.solve
(DoubleMatrix2D B) Solves A*X = B.void
LUDecompositionQuick.solve
(DoubleMatrix2D B) Solves the system of equations A*X = B (in-place).QRDecomposition.solve
(DoubleMatrix2D B) Least squares solution of A*X = B; returns X.private void
LUDecompositionQuick.solveOld
(DoubleMatrix2D B) Solves A*X = B.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.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.Algebra.toString
(DoubleMatrix2D matrix) Returns a String with (propertyName, propertyValue) pairs.Property.toString
(DoubleMatrix2D A) Returns summary information about the given matrix A.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]).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 DoubleMatrix2DModifierConstructorDescriptionConstructs 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.Constructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.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.Constructs and returns a new singular value decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.