Java tutorial
/* * 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 * * http://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. */ package org.apache.commons.math.random; /** * This class is a gaussian normalized random generator for scalars. * <p>This class is a simple wrapper around the {@link * RandomGenerator#nextGaussian} method.</p> * @version $Revision: 811827 $ $Date: 2009-09-06 17:32:50 +0200 (dim. 06 sept. 2009) $ * @since 1.2 */ public class GaussianRandomGenerator implements NormalizedRandomGenerator { /** Underlying generator. */ private final RandomGenerator generator; /** Create a new generator. * @param generator underlying random generator to use */ public GaussianRandomGenerator(final RandomGenerator generator) { this.generator = generator; } /** Generate a random scalar with null mean and unit standard deviation. * @return a random scalar with null mean and unit standard deviation */ public double nextNormalizedDouble() { return generator.nextGaussian(); } }