All Downloads are FREE. Search and download functionalities are using the official Maven repository.

cern.colt.matrix.tobject.ObjectFactory1D Maven / Gradle / Ivy

Go to download

Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming.

The newest version!
/*
Copyright (C) 1999 CERN - European Organization for Nuclear Research.
Permission to use, copy, modify, distribute and sell this software and its documentation for any purpose 
is hereby granted without fee, provided that the above copyright notice appear in all copies and 
that both that copyright notice and this permission notice appear in supporting documentation. 
CERN makes no representations about the suitability of this software for any purpose. 
It is provided "as is" without expressed or implied warranty.
 */
package cern.colt.matrix.tobject;

import cern.colt.matrix.tobject.impl.DenseObjectMatrix1D;
import cern.colt.matrix.tobject.impl.SparseObjectMatrix1D;

/**
 * Factory for convenient construction of 1-d matrices holding Object
 * cells. Use idioms like ObjectFactory1D.dense.make(1000) to construct
 * dense matrices, ObjectFactory1D.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:
 * 
 * 
 * 
* *
 *  ObjectFactory1D F = ObjectFactory1D.dense;
 *  F.make(1000);
 *  ...
 * 
* *
* * @author [email protected] * @version 1.0, 09/24/99 */ public class ObjectFactory1D extends cern.colt.PersistentObject { /** * */ private static final long serialVersionUID = 1L; /** * A factory producing dense matrices. */ public static final ObjectFactory1D dense = new ObjectFactory1D(); /** * A factory producing sparse matrices. */ public static final ObjectFactory1D sparse = new ObjectFactory1D(); /** * Makes this class non instantiable, but still let's others inherit from * it. */ protected ObjectFactory1D() { } /** * 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. */ public ObjectMatrix1D append(ObjectMatrix1D A, ObjectMatrix1D B) { // concatenate ObjectMatrix1D matrix = make((int) (A.size() + B.size())); matrix.viewPart(0, (int) A.size()).assign(A); matrix.viewPart((int) A.size(), (int) B.size()).assign(B); return matrix; } /** * Constructs a matrix which is the concatenation of all given parts. Cells * are copied. */ public ObjectMatrix1D make(ObjectMatrix1D[] parts) { if (parts.length == 0) return make(0); int size = 0; for (int i = 0; i < parts.length; i++) size += parts[i].size(); ObjectMatrix1D vector = make(size); size = 0; for (int i = 0; i < parts.length; i++) { vector.viewPart(size, (int) parts[i].size()).assign(parts[i]); size += parts[i].size(); } return vector; } /** * 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. * * @param values * The values to be filled into the new matrix. */ public ObjectMatrix1D make(Object[] values) { if (this == sparse) return new SparseObjectMatrix1D(values); else return new DenseObjectMatrix1D(values); } /** * Constructs a matrix with the given shape, each cell initialized with * zero. */ public ObjectMatrix1D make(int size) { if (this == sparse) return new SparseObjectMatrix1D(size); return new DenseObjectMatrix1D(size); } /** * Constructs a matrix with the given shape, each cell initialized with the * given value. */ public ObjectMatrix1D make(int size, Object initialValue) { return make(size).assign(initialValue); } /** * 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. * * @param values * The values to be filled into the new matrix. * @return a new matrix. */ public ObjectMatrix1D make(cern.colt.list.tobject.ObjectArrayList values) { int size = values.size(); ObjectMatrix1D vector = make(size); for (int i = size; --i >= 0;) vector.set(i, values.get(i)); return vector; } /** * C = A||A||..||A; Constructs a new matrix which is concatenated * repeat times. Example: * *
     * 	 0 1
     * 	 repeat(3) -->
     * 	 0 1 0 1 0 1
     * 
     * 
*/ public ObjectMatrix1D repeat(ObjectMatrix1D A, int repeat) { int size = (int) A.size(); ObjectMatrix1D matrix = make(repeat * size); for (int i = repeat; --i >= 0;) { matrix.viewPart(size * i, size).assign(A); } return matrix; } /** * 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. * * @param values * The values to be filled into the new list. * @return a new list. */ public cern.colt.list.tobject.ObjectArrayList toList(ObjectMatrix1D values) { int size = (int) values.size(); cern.colt.list.tobject.ObjectArrayList list = new cern.colt.list.tobject.ObjectArrayList(size); list.setSize(size); for (int i = size; --i >= 0;) list.set(i, values.get(i)); return list; } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy