IntFactory1D
cern.colt.matrix.tint

Class IntFactory1D

  • All Implemented Interfaces:
    Serializable, Cloneable


    public class IntFactory1Dextends PersistentObject
    Factory for convenient construction of 1-d matrices holding int cells. Use idioms like IntFactory1D.dense.make(1000) to construct dense matrices, IntFactory1D.sparse.make(1000) to construct sparse matrices. If the factory is used frequently it might be useful to streamline the notation. For example by aliasing:
      IntFactory1D F = IntFactory1D.dense;  F.make(1000);  F.descending(10);  F.random(3);  ... 
    See Also:
    Serialized Form
    • Field Detail

      • dense

        public static final IntFactory1D dense
        A factory producing dense matrices.
      • sparse

        public static final IntFactory1D sparse
        A factory producing sparse matrices.
    • Method Detail

      • append

        public IntMatrix1D append(IntMatrix1D A,                 IntMatrix1D B)
        C = A||B; Constructs a new matrix which is the concatenation of two other matrices. Example: 0 1 append 3 4 --> 0 1 3 4.
      • ascending

        public IntMatrix1D ascending(int size)
        Constructs a matrix with cells having ascending values. For debugging purposes. Example: 0 1 2
      • descending

        public IntMatrix1D descending(int size)
        Constructs a matrix with cells having descending values. For debugging purposes. Example: 2 1 0
      • make

        public IntMatrix1D make(int[] values)
        Constructs a matrix with the given cell values. 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.
      • make

        public IntMatrix1D make(IntMatrix1D[] parts)
        Constructs a matrix which is the concatenation of all given parts. Cells are copied.
      • make

        public IntMatrix1D make(int size)
        Constructs a matrix with the given shape, each cell initialized with zero.
      • make

        public IntMatrix1D make(int size,               int initialValue)
        Constructs a matrix with the given shape, each cell initialized with the given value.
      • make

        public IntMatrix1D make(AbstractIntList values)
        Constructs a matrix from the values of the given list. 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.
        Returns:
        a new matrix.
      • random

        public IntMatrix1D random(int size)
        Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
      • repeat

        public IntMatrix1D repeat(IntMatrix1D A,                 int repeat)
        C = A||A||..||A; Constructs a new matrix which is concatenated repeat times. Example:
           0 1   repeat(3) -->   0 1 0 1 0 1  
      • sample

        public IntMatrix1D sample(int size,                 int value,                 int nonZeroFraction)
        Constructs a randomly sampled matrix with the given shape. Randomly picks exactly Math.round(size*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.
        Throws:
        IllegalArgumentException - if nonZeroFraction < 0 || nonZeroFraction > 1.
        See Also:
        DoubleRandomSamplingAssistant
      • toList

        public IntArrayList toList(IntMatrix1D values)
        Constructs a list from the given matrix. The values are copied. So subsequent changes in values are not reflected in the list, and vice-versa.
        Parameters:
        values - The values to be filled into the new list.
        Returns:
        a new list.

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