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Uses of Class
cern.colt.matrix.DoubleMatrix2D

Packages that use DoubleMatrix2D
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.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
 DoubleMatrix2D DoubleMatrix3D.viewColumn(int column)
          Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given 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 DoubleMatrix3D.viewSlice(int slice)
          Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
 DoubleMatrix2D DoubleMatrix2D.assign(double[][] values)
          Sets all cells to the state specified by values.
 DoubleMatrix2D DoubleMatrix2D.assign(double value)
          Sets all cells to the state specified by value.
 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 DoubleMatrix2D.copy()
          Constructs and returns a deep copy of the receiver.
 DoubleMatrix2D DoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
          Assigns the result of a function to each non-zero cell; x[row,col] = function(x[row,col]).
 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.
 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 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.
 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.
abstract  DoubleMatrix2D DoubleMatrix1D.like2D(int rows, int columns)
          Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
 DoubleMatrix2D DoubleFactory2D.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 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 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 DoubleFactory2D.identity(int rowsAndColumns)
          Constructs an identity matrix (having ones on the diagonal and zeros elsewhere).
 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.
 

Methods in cern.colt.matrix with parameters of type DoubleMatrix2D
 boolean DoubleMatrix2DProcedure.apply(DoubleMatrix2D element)
          Applies a procedure to an argument.
 double DoubleMatrix2D.aggregate(DoubleMatrix2D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f)
          Applies a function to each corresponding cell of two matrices and aggregates the results.
 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]).
 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.
 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.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.
 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.
 

Uses of DoubleMatrix2D in cern.colt.matrix.doublealgo
 

Methods in cern.colt.matrix.doublealgo that return DoubleMatrix2D
static DoubleMatrix2D Transform.abs(DoubleMatrix2D A)
          Deprecated. A[row,col] = Math.abs(A[row,col]).
static DoubleMatrix2D Transform.div(DoubleMatrix2D A, double s)
          Deprecated. A = A / s <=> A[row,col] = A[row,col] / s.
static DoubleMatrix2D Transform.div(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A / B <=> 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] < s ? 1 : 0.
static DoubleMatrix2D Transform.less(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A[row,col] = A[row,col] < B[row,col] ? 1 : 0.
static DoubleMatrix2D Transform.minus(DoubleMatrix2D A, double s)
          Deprecated. A = A - s <=> A[row,col] = A[row,col] - s.
static DoubleMatrix2D Transform.minus(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A - B <=> A[row,col] = A[row,col] - B[row,col].
static DoubleMatrix2D Transform.minusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)
          Deprecated. A = A - B*s <=> A[row,col] = A[row,col] - B[row,col]*s.
static DoubleMatrix2D Transform.mult(DoubleMatrix2D A, double s)
          Deprecated. A = A * s <=> A[row,col] = A[row,col] * s.
static DoubleMatrix2D Transform.mult(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A * B <=> A[row,col] = A[row,col] * B[row,col].
static DoubleMatrix2D Transform.negate(DoubleMatrix2D A)
          Deprecated. A = -A <=> A[row,col] = -A[row,col].
static DoubleMatrix2D Transform.plus(DoubleMatrix2D A, double s)
          Deprecated. A = A + s <=> A[row,col] = A[row,col] + s.
static DoubleMatrix2D Transform.plus(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A + B <=> A[row,col] = A[row,col] + B[row,col].
static DoubleMatrix2D Transform.plusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)
          Deprecated. A = A + B*s <=> A[row,col] = A[row,col] + B[row,col]*s.
static DoubleMatrix2D Transform.pow(DoubleMatrix2D A, double s)
          Deprecated. A = As <=> A[row,col] = Math.pow(A[row,col], s).
static DoubleMatrix2D Transform.pow(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = AB <=> A[row,col] = Math.pow(A[row,col], B[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 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.
 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 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.
 

Methods in cern.colt.matrix.doublealgo with parameters of type DoubleMatrix2D
static DoubleMatrix2D Transform.abs(DoubleMatrix2D A)
          Deprecated. A[row,col] = Math.abs(A[row,col]).
static DoubleMatrix2D Transform.div(DoubleMatrix2D A, double s)
          Deprecated. A = A / s <=> A[row,col] = A[row,col] / s.
static DoubleMatrix2D Transform.div(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A / B <=> 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] < s ? 1 : 0.
static DoubleMatrix2D Transform.less(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A[row,col] = A[row,col] < B[row,col] ? 1 : 0.
static DoubleMatrix2D Transform.minus(DoubleMatrix2D A, double s)
          Deprecated. A = A - s <=> A[row,col] = A[row,col] - s.
static DoubleMatrix2D Transform.minus(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A - B <=> A[row,col] = A[row,col] - B[row,col].
static DoubleMatrix2D Transform.minusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)
          Deprecated. A = A - B*s <=> A[row,col] = A[row,col] - B[row,col]*s.
static DoubleMatrix2D Transform.mult(DoubleMatrix2D A, double s)
          Deprecated. A = A * s <=> A[row,col] = A[row,col] * s.
static DoubleMatrix2D Transform.mult(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A * B <=> A[row,col] = A[row,col] * B[row,col].
static DoubleMatrix2D Transform.negate(DoubleMatrix2D A)
          Deprecated. A = -A <=> A[row,col] = -A[row,col].
static DoubleMatrix2D Transform.plus(DoubleMatrix2D A, double s)
          Deprecated. A = A + s <=> A[row,col] = A[row,col] + s.
static DoubleMatrix2D Transform.plus(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = A + B <=> A[row,col] = A[row,col] + B[row,col].
static DoubleMatrix2D Transform.plusMult(DoubleMatrix2D A, DoubleMatrix2D B, double s)
          Deprecated. A = A + B*s <=> A[row,col] = A[row,col] + B[row,col]*s.
static DoubleMatrix2D Transform.pow(DoubleMatrix2D A, double s)
          Deprecated. A = As <=> A[row,col] = Math.pow(A[row,col], s).
static DoubleMatrix2D Transform.pow(DoubleMatrix2D A, DoubleMatrix2D B)
          Deprecated. A = AB <=> A[row,col] = Math.pow(A[row,col], B[row,col]).
static int Stencil.stencil9(DoubleMatrix2D A, Double9Function function, int maxIterations, DoubleMatrix2DProcedure hasConverged, int convergenceIterations)
          9 point stencil operation.
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 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.
 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 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.
 String[][] Formatter.format(DoubleMatrix2D matrix)
          Returns a string representations of all cells; no alignment considered.
 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.
 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.
 int DoubleMatrix2DComparator.compare(DoubleMatrix2D o1, DoubleMatrix2D o2)
          Compares its two arguments for order.
 

Uses of DoubleMatrix2D in cern.colt.matrix.impl
 

Subclasses of DoubleMatrix2D in cern.colt.matrix.impl
 class DenseDoubleMatrix2D
          Dense 2-d matrix holding double elements.
 class RCDoubleMatrix2D
          Sparse row-compressed 2-d matrix holding double elements.
 class SparseDoubleMatrix2D
          Sparse hashed 2-d matrix holding double elements.
(package private)  class cern.colt.matrix.impl.WrapperDoubleMatrix2D
          2-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.
 

Methods in cern.colt.matrix.impl that return DoubleMatrix2D
 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 SparseDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
           
 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 SparseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
           
 DoubleMatrix2D SparseDoubleMatrix1D.like2D(int rows, int columns)
          Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
 DoubleMatrix2D 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 RCDoubleMatrix2D.forEachNonZero(IntIntDoubleFunction function)
           
 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 RCDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
           
 DoubleMatrix2D DenseDoubleMatrix2D.assign(double[][] values)
          Sets all cells to the state specified by values.
 DoubleMatrix2D DenseDoubleMatrix2D.assign(double value)
          Sets all cells to the state specified by value.
 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 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 DenseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
           
 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.
 

Methods in cern.colt.matrix.impl with parameters of type DoubleMatrix2D
 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 SparseDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
           
 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 RCDoubleMatrix2D.zMult(DoubleMatrix2D B, DoubleMatrix2D C, double alpha, double beta, boolean transposeA, boolean transposeB)
           
 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]).
 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)
           
 

Uses of DoubleMatrix2D in cern.colt.matrix.linalg
 

Methods in cern.colt.matrix.linalg that return DoubleMatrix2D
 DoubleMatrix2D SingularValueDecomposition.getS()
          Returns the diagonal matrix of singular values.
 DoubleMatrix2D SingularValueDecomposition.getU()
          Returns the left singular vectors U.
 DoubleMatrix2D SingularValueDecomposition.getV()
          Returns the right singular vectors V.
 DoubleMatrix2D QRDecomposition.getH()
          Returns the Householder vectors H.
 DoubleMatrix2D QRDecomposition.getQ()
          Generates and returns the (economy-sized) orthogonal factor Q.
 DoubleMatrix2D QRDecomposition.getR()
          Returns the upper triangular factor, R.
 DoubleMatrix2D QRDecomposition.solve(DoubleMatrix2D B)
          Least squares solution of A*X = B; returns X.
 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 LUDecompositionQuick.getU()
          Returns the upper triangular factor, U.
 DoubleMatrix2D LUDecomposition.getL()
          Returns the lower triangular factor, L.
 DoubleMatrix2D LUDecomposition.getU()
          Returns the upper triangular factor, U.
 DoubleMatrix2D LUDecomposition.solve(DoubleMatrix2D B)
          Solves A*X = B.
 DoubleMatrix2D EigenvalueDecomposition.getD()
          Returns the block diagonal eigenvalue matrix, D.
 DoubleMatrix2D EigenvalueDecomposition.getV()
          Returns the eigenvector matrix, V
 DoubleMatrix2D CholeskyDecomposition.getL()
          Returns the triangular factor, L.
 DoubleMatrix2D CholeskyDecomposition.solve(DoubleMatrix2D B)
          Solves A*X = B; returns X.
 DoubleMatrix2D Algebra.inverse(DoubleMatrix2D A)
          Returns the inverse or pseudo-inverse of matrix A.
 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 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 <==> B = A*A*...*A.
 DoubleMatrix2D Algebra.solve(DoubleMatrix2D A, DoubleMatrix2D B)
          Solves A*X = B.
 DoubleMatrix2D Algebra.solveTranspose(DoubleMatrix2D A, DoubleMatrix2D B)
          Solves X*A = B, which is also A'*X' = B'.
 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.
 

Methods in cern.colt.matrix.linalg with parameters of type DoubleMatrix2D
 void SmpBlas.assign(DoubleMatrix2D A, DoubleFunction function)
           
 void SmpBlas.assign(DoubleMatrix2D A, DoubleMatrix2D B, DoubleDoubleFunction function)
           
 void SmpBlas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)
           
 void SmpBlas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)
           
 void SmpBlas.dgemm(boolean transposeA, boolean transposeB, double alpha, DoubleMatrix2D A, DoubleMatrix2D B, double beta, DoubleMatrix2D C)
           
 void SmpBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
           
 void SmpBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
           
 void SmpBlas.dscal(double alpha, DoubleMatrix2D A)
           
 void SmpBlas.dswap(DoubleMatrix2D A, DoubleMatrix2D B)
           
 void SmpBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
           
 void SmpBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
           
 void SeqBlas.assign(DoubleMatrix2D A, DoubleFunction function)
           
 void SeqBlas.assign(DoubleMatrix2D A, DoubleMatrix2D B, DoubleDoubleFunction function)
           
 void SeqBlas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)
           
 void SeqBlas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)
           
 void SeqBlas.dgemm(boolean transposeA, boolean transposeB, double alpha, DoubleMatrix2D A, DoubleMatrix2D B, double beta, DoubleMatrix2D C)
           
 void SeqBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
           
 void SeqBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
           
 void SeqBlas.dscal(double alpha, DoubleMatrix2D A)
           
 void SeqBlas.dswap(DoubleMatrix2D A, DoubleMatrix2D B)
           
 void SeqBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
           
 void SeqBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
           
 DoubleMatrix2D QRDecomposition.solve(DoubleMatrix2D B)
          Least squares solution of A*X = B; returns X.
 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.
 double Property.density(DoubleMatrix2D A)
          Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
 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.
 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.
 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.
 int Property.semiBandwidth(DoubleMatrix2D A)
          Returns the semi-bandwidth of the given square matrix A.
 String Property.toString(DoubleMatrix2D A)
          Returns summary information about the given matrix A.
 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.
 double Matrix2DMatrix2DFunction.apply(DoubleMatrix2D x, DoubleMatrix2D y)
          Applies a function to two arguments.
 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).
 void LUDecompositionQuick.setLU(DoubleMatrix2D LU)
          Sets the combined lower and upper triangular factor, LU.
 void LUDecompositionQuick.solve(DoubleMatrix2D B)
          Solves the system of equations A*X = B (in-place).
 DoubleMatrix2D LUDecomposition.solve(DoubleMatrix2D B)
          Solves A*X = B.
 DoubleMatrix2D CholeskyDecomposition.solve(DoubleMatrix2D B)
          Solves A*X = B; returns X.
 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 Blas.daxpy(double alpha, DoubleMatrix2D A, DoubleMatrix2D B)
          Combined matrix scaling; B = B + alpha*A.
 void Blas.dcopy(DoubleMatrix2D A, DoubleMatrix2D B)
          Matrix assignment (copying); B = 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 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 Blas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
          Performs a rank 1 update; A = A + alpha*x*y'.
 void Blas.dscal(double alpha, DoubleMatrix2D A)
          Matrix scaling; A = alpha*A.
 void Blas.dswap(DoubleMatrix2D x, DoubleMatrix2D y)
          Swaps the elements of two matrices; B <==> A.
 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 Blas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
          Triangular matrix-vector multiplication; x = A*x or x = A'*x.
 double Algebra.cond(DoubleMatrix2D A)
          Returns the condition of matrix A, which is the ratio of largest to smallest singular value.
 double Algebra.det(DoubleMatrix2D A)
          Returns the determinant of matrix A.
 DoubleMatrix2D Algebra.inverse(DoubleMatrix2D A)
          Returns the inverse or pseudo-inverse of matrix A.
 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 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 <==> B = A*A*...*A.
 int Algebra.rank(DoubleMatrix2D A)
          Returns the effective numerical rank of matrix A, obtained from Singular Value Decomposition.
 DoubleMatrix2D Algebra.solve(DoubleMatrix2D A, DoubleMatrix2D B)
          Solves A*X = B.
 DoubleMatrix2D Algebra.solveTranspose(DoubleMatrix2D A, DoubleMatrix2D B)
          Solves X*A = B, which is also A'*X' = B'.
 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].
 String Algebra.toString(DoubleMatrix2D matrix)
          Returns a String with (propertyName, propertyValue) pairs.
 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.
 

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

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