LongFactory1D
cern.colt.matrix.tlong

Class LongFactory1D

  • All Implemented Interfaces:
    Serializable, Cloneable


    public class LongFactory1Dextends PersistentObject
    Factory for convenient construction of 1-d matrices holding int cells. Use idioms like LongFactory1D.dense.make(1000) to construct dense matrices, LongFactory1D.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:
      LongFactory1D F = LongFactory1D.dense;  F.make(1000);  F.descending(10);  F.random(3);  ... 
    See Also:
    Serialized Form
    • Field Detail

      • dense

        public static final LongFactory1D dense
        A factory producing dense matrices.
      • sparse

        public static final LongFactory1D sparse
        A factory producing sparse matrices.
    • Method Detail

      • append

        public LongMatrix1D append(LongMatrix1D A,                  LongMatrix1D 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 LongMatrix1D ascending(int size)
        Constructs a matrix with cells having ascending values. For debugging purposes. Example: 0 1 2
      • descending

        public LongMatrix1D descending(int size)
        Constructs a matrix with cells having descending values. For debugging purposes. Example: 2 1 0
      • make

        public LongMatrix1D make(long[] 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 LongMatrix1D make(LongMatrix1D[] parts)
        Constructs a matrix which is the concatenation of all given parts. Cells are copied.
      • make

        public LongMatrix1D make(int size)
        Constructs a matrix with the given shape, each cell initialized with zero.
      • make

        public LongMatrix1D make(int size,                long initialValue)
        Constructs a matrix with the given shape, each cell initialized with the given value.
      • make

        public LongMatrix1D make(AbstractLongList 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 LongMatrix1D random(int size)
        Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
      • repeat

        public LongMatrix1D repeat(LongMatrix1D 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 LongMatrix1D 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 LongArrayList toList(LongMatrix1D 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.

SCaVis 2.2 © jWork.ORG