1 /* 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 18 package org.apache.commons.math.random; 19 20 /** 21 * This class is a gaussian normalized random generator for scalars. 22 * <p>This class is a simple wrapper around the {@link 23 * RandomGenerator#nextGaussian} method.</p> 24 * @version $Revision: 780933 $ $Date: 2009-06-02 00:39:12 -0400 (Tue, 02 Jun 2009) $ 25 * @since 1.2 26 */ 27 28 public class GaussianRandomGenerator implements NormalizedRandomGenerator { 29 30 /** Create a new generator. 31 * @param generator underlying random generator to use 32 */ 33 public GaussianRandomGenerator(RandomGenerator generator) { 34 this.generator = generator; 35 } 36 37 /** Generate a random scalar with null mean and unit standard deviation. 38 * @return a random scalar with null mean and unit standard deviation 39 */ 40 public double nextNormalizedDouble() { 41 return generator.nextGaussian(); 42 } 43 44 /** Underlying generator. */ 45 private RandomGenerator generator; 46 47 }