001 /* 002 * Licensed to the Apache Software Foundation (ASF) under one or more 003 * contributor license agreements. See the NOTICE file distributed with 004 * this work for additional information regarding copyright ownership. 005 * The ASF licenses this file to You under the Apache License, Version 2.0 006 * (the "License"); you may not use this file except in compliance with 007 * the License. You may obtain a copy of the License at 008 * 009 * http://www.apache.org/licenses/LICENSE-2.0 010 * 011 * Unless required by applicable law or agreed to in writing, software 012 * distributed under the License is distributed on an "AS IS" BASIS, 013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 014 * See the License for the specific language governing permissions and 015 * limitations under the License. 016 */ 017 018 package org.apache.commons.math.random; 019 020 /** 021 * This class is a gaussian normalized random generator for scalars. 022 * <p>This class is a simple wrapper around the {@link 023 * RandomGenerator#nextGaussian} method.</p> 024 * @version $Revision: 811827 $ $Date: 2009-09-06 17:32:50 +0200 (dim. 06 sept. 2009) $ 025 * @since 1.2 026 */ 027 028 public class GaussianRandomGenerator implements NormalizedRandomGenerator { 029 030 /** Underlying generator. */ 031 private final RandomGenerator generator; 032 033 /** Create a new generator. 034 * @param generator underlying random generator to use 035 */ 036 public GaussianRandomGenerator(final RandomGenerator generator) { 037 this.generator = generator; 038 } 039 040 /** Generate a random scalar with null mean and unit standard deviation. 041 * @return a random scalar with null mean and unit standard deviation 042 */ 043 public double nextNormalizedDouble() { 044 return generator.nextGaussian(); 045 } 046 047 }