cern.colt.matrix
Class DoubleFactory1D

java.lang.Object
  cern.colt.PersistentObject
      cern.colt.matrix.DoubleFactory1D

All Implemented Interfaces:

Cloneable, Serializable

public class DoubleFactory1D

extends PersistentObject

Factory for convenient construction of 1-d matrices holding double cells. Use idioms like DoubleFactory1D.dense.make(1000) to construct dense matrices, DoubleFactory1D.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:

DoubleFactory1D F = DoubleFactory1D.dense;
F.make(1000);
F.descending(10);
F.random(3);
...

Version:

1.0, 09/24/99

See Also:

Serialized Form

dense

public static final DoubleFactory1D dense

A factory producing dense matrices.

sparse

public static final DoubleFactory1D sparse

A factory producing sparse matrices.

append

public DoubleMatrix1D append(DoubleMatrix1D A,
                             DoubleMatrix1D 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 DoubleMatrix1D ascending(int size)

Constructs a matrix with cells having ascending values. For debugging purposes. Example: 0 1 2

descending

public DoubleMatrix1D descending(int size)

Constructs a matrix with cells having descending values. For debugging purposes. Example: 2 1 0

make

public DoubleMatrix1D make(double[] 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 DoubleMatrix1D make(DoubleMatrix1D[] parts)

Constructs a matrix which is the concatenation of all given parts. Cells are copied.

make

public DoubleMatrix1D make(int size)

Constructs a matrix with the given shape, each cell initialized with zero.

make

public DoubleMatrix1D make(int size,
                           double initialValue)

Constructs a matrix with the given shape, each cell initialized with the given value.

make

public DoubleMatrix1D make(AbstractDoubleList 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 DoubleMatrix1D random(int size)

Constructs a matrix with uniformly distributed values in (0,1) (exclusive).

repeat

public DoubleMatrix1D repeat(DoubleMatrix1D 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 DoubleMatrix1D sample(int size,
                             double value,
                             double 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:

RandomSampler

toList

public DoubleArrayList toList(DoubleMatrix1D 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.