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Raymonddee08492015-04-02 10:43:13 -07001/*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18package org.apache.commons.math.random;
19
20import org.apache.commons.math.util.FastMath;
21
22
23/**
24 * Generate random vectors isotropically located on the surface of a sphere.
25 *
26 * @since 2.1
27 * @version $Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $
28 */
29
30public class UnitSphereRandomVectorGenerator
31 implements RandomVectorGenerator {
32 /**
33 * RNG used for generating the individual components of the vectors.
34 */
35 private final RandomGenerator rand;
36 /**
37 * Space dimension.
38 */
39 private final int dimension;
40
41 /**
42 * @param dimension Space dimension.
43 * @param rand RNG for the individual components of the vectors.
44 */
45 public UnitSphereRandomVectorGenerator(final int dimension,
46 final RandomGenerator rand) {
47 this.dimension = dimension;
48 this.rand = rand;
49 }
50 /**
51 * Create an object that will use a default RNG ({@link MersenneTwister}),
52 * in order to generate the individual components.
53 *
54 * @param dimension Space dimension.
55 */
56 public UnitSphereRandomVectorGenerator(final int dimension) {
57 this(dimension, new MersenneTwister());
58 }
59
60 /** {@inheritDoc} */
61 public double[] nextVector() {
62
63 final double[] v = new double[dimension];
64
65 double normSq;
66 do {
67 normSq = 0;
68 for (int i = 0; i < dimension; i++) {
69 final double comp = 2 * rand.nextDouble() - 1;
70 v[i] = comp;
71 normSq += comp * comp;
72 }
73 } while (normSq > 1);
74
75 final double f = 1 / FastMath.sqrt(normSq);
76 for (int i = 0; i < dimension; i++) {
77 v[i] *= f;
78 }
79
80 return v;
81
82 }
83
84}