Documentation of 'cern.colt.matrix.tlong.LongFactory2D' Java class
LongFactory2D
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cern.colt.matrix.tlong

Class LongFactory2D

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable

    public class LongFactory2D
extends PersistentObject
    Factory for convenient construction of 2-d matrices holding int cells. Also provides convenient methods to compose (concatenate) and decompose (split) matrices from/to constituent blocks.

     

    Construction Use idioms like LongFactory2D.dense.make(4,4) to construct dense matrices, LongFactory2D.sparse.make(4,4) to construct sparse matrices.
    Construction with initial values Use other make methods to construct matrices with given initial values.
    Appending rows and columns Use methods appendColumns, appendRows and repeat to append rows and columns.
    General block matrices Use methods compose and decompose to work with general block matrices.
    Diagonal matrices Use methods diagonal(vector), diagonal(matrix) and identity to work with diagonal matrices.
    Diagonal block matrices Use method composeDiagonal to work with diagonal block matrices.
    Random Use methods random and sample to construct random matrices.

     

    If the factory is used frequently it might be useful to streamline the notation. For example by aliasing: 

      LongFactory2D F = LongFactory2D.dense;
  F.make(4,4);
  F.descending(10,20);
  F.random(4,4);
  ...
    See Also:
    Serialized Form

    • Field Detail

      • dense

        public static final LongFactory2D dense
        A factory producing dense matrices.

      • sparse

        public static final LongFactory2D sparse
        A factory producing sparse hash matrices.

      • rowCompressed

        public static final LongFactory2D rowCompressed
        A factory producing sparse row compressed matrices.

    • Method Detail

      • appendColumns

        public LongMatrix2D appendColumns(LongMatrix2D A,
                                  LongMatrix2D B)
        C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices. 
           0 1 2
   3 4 5
   appendColumns
   6 7
   8 9
   -->
   0 1 2 6 7 
   3 4 5 8 9

      • appendRows

        public LongMatrix2D appendRows(LongMatrix2D A,
                               LongMatrix2D B)
        C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices. 
           0 1 
   2 3 
   4 5
   appendRows
   6 7
   8 9
   -->
   0 1 
   2 3 
   4 5
   6 7
   8 9

      • ascending

        public LongMatrix2D ascending(int rows,
                              int columns)
        Constructs a matrix with cells having ascending values. For debugging purposes. Example: 
           0 1 2 
   3 4 5

      • compose

        public LongMatrix2D compose(LongMatrix2D[][] parts)
        Constructs a block matrix made from the given parts. The inverse to method decompose(LongMatrix2D[][], LongMatrix2D).

        All matrices of a given column within parts must have the same number of columns. All matrices of a given row within parts must have the same number of rows. Otherwise an IllegalArgumentException is thrown. Note that nulls within parts[row,col] are an exception to this rule: they are ignored. Cells are copied. Example:

        Code Result 
         LongMatrix2D[][] parts1 = { { null, make(2, 2, 1), null }, { make(4, 4, 2), null, make(4, 3, 3) },
         { null, make(2, 2, 4), null } };
 System.out.println(compose(parts1));
        		8 x 9 matrix
        0 0 0 0 1 1 0 0 0
        0 0 0 0 1 1 0 0 0
        2 2 2 2 0 0 3 3 3
        2 2 2 2 0 0 3 3 3
        2 2 2 2 0 0 3 3 3
        2 2 2 2 0 0 3 3 3
        0 0 0 0 4 4 0 0 0
        0 0 0 0 4 4 0 0 0        		 
         LongMatrix2D[][] parts3 = { { identity(3), null, }, { null, identity(3).viewColumnFlip() },
         { identity(3).viewRowFlip(), null } };
 System.out.println("\n" + make(parts3));
        		9 x 6 matrix
        1 0 0 0 0 0
        0 1 0 0 0 0
        0 0 1 0 0 0
        0 0 0 0 0 1
        0 0 0 0 1 0
        0 0 0 1 0 0
        0 0 1 0 0 0
        0 1 0 0 0 0
        1 0 0 0 0 0 
         LongMatrix2D A = ascending(2, 2);
 LongMatrix2D B = descending(2, 2);
 LongMatrix2D _ = null;
 
 LongMatrix2D[][] parts4 = { { A, _, A, _ }, { _, A, _, B } };
 System.out.println("\n" + make(parts4));
        		4 x 8 matrix
        1 2 0 0 1 2 0 0
        3 4 0 0 3 4 0 0
        0 0 1 2 0 0 3 2
        0 0 3 4 0 0 1 0 
         LongMatrix2D[][] parts2 = { { null, make(2, 2, 1), null }, { make(4, 4, 2), null, make(4, 3, 3) },
         { null, make(2, 3, 4), null } };
 System.out.println("\n" + Factory2D.make(parts2));
        		IllegalArgumentException
        A[0,1].columns != A[2,1].columns
        (2 != 3)
        Throws:
        java.lang.IllegalArgumentException - subject to the conditions outlined above.

      • composeDiagonal

        public LongMatrix2D composeDiagonal(LongMatrix2D A,
                                    LongMatrix2D B)
        Constructs a diagonal block matrix from the given parts (the direct sum of two matrices). That is the concatenation 
           A 0
   0 B
        (The direct sum has A.rows()+B.rows() rows and A.columns()+B.columns() columns). Cells are copied.
        Returns:
        a new matrix which is the direct sum.

      • composeDiagonal

        public LongMatrix2D composeDiagonal(LongMatrix2D A,
                                    LongMatrix2D B,
                                    LongMatrix2D C)
        Constructs a diagonal block matrix from the given parts. The concatenation has the form 
           A 0 0
   0 B 0
   0 0 C
        from the given parts. Cells are copied.

      • decompose

        public void decompose(LongMatrix2D[][] parts,
                      LongMatrix2D matrix)
        Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts. The inverse to method compose(LongMatrix2D[][]).

        All matrices of a given column within parts must have the same number of columns. All matrices of a given row within parts must have the same number of rows. Otherwise an IllegalArgumentException is thrown. Note that nulls within parts[row,col] are an exception to this rule: they are ignored. Cells are copied. Example:

        Code matrix --> parts 
           LongMatrix2D matrix = ... ;
   LongMatrix2D _ = null;
   LongMatrix2D A,B,C,D;
   A = make(2,2); B = make (4,4);
   C = make(4,3); D = make (2,2);
   LongMatrix2D[][] parts = 
   {
      { _, A, _ },
      { B, _, C },
      { _, D, _ }
   };
   decompose(parts,matrix);
   System.out.println("\nA = "+A);
   System.out.println("\nB = "+B);
   System.out.println("\nC = "+C);
   System.out.println("\nD = "+D);
        		8 x 9 matrix
        9 9 9 9 1 1 9 9 9
        9 9 9 9 1 1 9 9 9
        2 2 2 2 9 9 3 3 3
        2 2 2 2 9 9 3 3 3
        2 2 2 2 9 9 3 3 3
        2 2 2 2 9 9 3 3 3
        9 9 9 9 4 4 9 9 9
        9 9 9 9 4 4 9 9 9

        A = 2 x 2 matrix
        1 1
        1 1

        B = 4 x 4 matrix
        2 2 2 2
        2 2 2 2
        2 2 2 2
        2 2 2 2

        C = 4 x 3 matrix
        3 3 3
        3 3 3
        3 3 3
        3 3 3

        D = 2 x 2 matrix
        4 4
        4 4

        Throws:
        java.lang.IllegalArgumentException - subject to the conditions outlined above.

      • demo1

        public void demo1()
        Demonstrates usage of this class.

      • demo2

        public void demo2()
        Demonstrates usage of this class.

      • descending

        public LongMatrix2D descending(int rows,
                               int columns)
        Constructs a matrix with cells having descending values. For debugging purposes. Example: 
           5 4 3 
   2 1 0

      • diagonal

        public LongMatrix2D diagonal(LongMatrix1D vector)
        Constructs a new diagonal matrix whose diagonal elements are the elements of vector. Cells values are copied. The new matrix is not a view. Example: 
           5 4 3 -->
   5 0 0
   0 4 0
   0 0 3
        Returns:
        a new matrix.

      • diagonal

        public LongMatrix2D diagonal(int[] vector)
        Constructs a new diagonal matrix whose diagonal elements are the elements of vector. Cells values are copied. The new matrix is not a view. Example: 
           5 4 3 -->
   5 0 0
   0 4 0
   0 0 3
        Returns:
        a new matrix.

      • diagonal

        public LongMatrix1D diagonal(LongMatrix2D A)
        Constructs a new vector consisting of the diagonal elements of A . Cells values are copied. The new vector is not a view. Example: 
           5 0 0 9
   0 4 0 9
   0 0 3 9
   --> 5 4 3
        Parameters:
        A - the matrix, need not be square.
        Returns:
        a new vector.

      • identity

        public LongMatrix2D identity(int rowsAndColumns)
        Constructs an identity matrix (having ones on the diagonal and zeros elsewhere).

      • make

        public LongMatrix2D make(long[][] values)
        Constructs a matrix with the given cell values. values is required to have the form values[row][column] and have exactly the same number of columns in every row.

        The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.

        Parameters:
        values - The values to be filled into the new matrix.
        Throws:
        java.lang.IllegalArgumentException - if for any 1 <= row < values.length: values[row].length != values[row-1].length .

      • make

        public LongMatrix2D make(int[] values,
                         int rows)
        Construct a matrix from a one-dimensional column-major packed array, ala Fortran. Has the form matrix.get(row,column) == values[row + column*rows]. The values are copied.
        Parameters:
        values - One-dimensional array of doubles, packed by columns (ala Fortran).
        rows - the number of rows.
        Throws:
        java.lang.IllegalArgumentException - values.length must be a multiple of rows .

      • make

        public LongMatrix2D make(int rows,
                         int columns)
        Constructs a matrix with the given shape, each cell initialized with zero.

      • make

        public LongMatrix2D make(int rows,
                         int columns,
                         long initialValue)
        Constructs a matrix with the given shape, each cell initialized with the given value.

      • random

        public LongMatrix2D random(int rows,
                           int columns)
        Constructs a matrix with uniformly distributed values in (0,1) (exclusive).

      • repeat

        public LongMatrix2D repeat(LongMatrix2D A,
                           int rowRepeat,
                           int columnRepeat)
        C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension. Example: 
           0 1
   2 3
   repeat(2,3) -->
   0 1 0 1 0 1
   2 3 2 3 2 3
   0 1 0 1 0 1
   2 3 2 3 2 3

      • sample

        public LongMatrix2D sample(int rows,
                           int columns,
                           int value,
                           int nonZeroFraction)
        Constructs a randomly sampled matrix with the given shape. Randomly picks exactly Math.round(rows*columns*nonZeroFraction) cells and initializes them to value, all the rest will be initialized to zero. Note that this is not the same as setting each cell with probability nonZeroFraction to value. Note: The random seed is a constant.
        Throws:
        java.lang.IllegalArgumentException - if nonZeroFraction < 0 || nonZeroFraction > 1.
        See Also:
        DoubleRandomSamplingAssistant

      • sample

        public LongMatrix2D sample(LongMatrix2D matrix,
                           int value,
                           int nonZeroFraction)
        Modifies the given matrix to be a randomly sampled matrix. Randomly picks exactly Math.round(rows*columns*nonZeroFraction) cells and initializes them to value, all the rest will be initialized to zero. Note that this is not the same as setting each cell with probability nonZeroFraction to value. Note: The random seed is a constant.
        Throws:
        java.lang.IllegalArgumentException - if nonZeroFraction < 0 || nonZeroFraction > 1.
        See Also:
        DoubleRandomSamplingAssistant
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