UnitSphereRandomVectorGenerator.java
- /*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements. See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License. You may obtain a copy of the License at
- *
- * https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- /*
- * This is not the original file distributed by the Apache Software Foundation
- * It has been modified by the Hipparchus project
- */
- package org.hipparchus.random;
- import org.hipparchus.util.FastMath;
- /**
- * Generate random vectors isotropically located on the surface of a sphere.
- */
- public class UnitSphereRandomVectorGenerator
- implements RandomVectorGenerator {
- /** RNG used for generating the individual components of the vectors. */
- private final RandomGenerator rand;
- /** Space dimension. */
- private final int dimension;
- /** Simple constructor.
- * @param dimension Space dimension.
- * @param rand RNG for the individual components of the vectors.
- */
- public UnitSphereRandomVectorGenerator(final int dimension,
- final RandomGenerator rand) {
- this.dimension = dimension;
- this.rand = rand;
- }
- /**
- * Create an object that will use a default RNG ({@link MersenneTwister}),
- * in order to generate the individual components.
- *
- * @param dimension Space dimension.
- */
- public UnitSphereRandomVectorGenerator(final int dimension) {
- this(dimension, new MersenneTwister());
- }
- /** {@inheritDoc} */
- @Override
- public double[] nextVector() {
- final double[] v = new double[dimension];
- // See http://mathworld.wolfram.com/SpherePointPicking.html for example.
- // Pick a point by choosing a standard Gaussian for each element, and then
- // normalizing to unit length.
- double normSq = 0;
- for (int i = 0; i < dimension; i++) {
- final double comp = rand.nextGaussian();
- v[i] = comp;
- normSq += comp * comp;
- }
- final double f = 1 / FastMath.sqrt(normSq);
- for (int i = 0; i < dimension; i++) {
- v[i] *= f;
- }
- return v;
- }
- }