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.rng.sampling.distribution; /** * Sampling from a Gaussian distribution with given mean and * standard deviation. * * @since 1.1 */ public class GaussianSampler implements ContinuousSampler { /** Mean. */ private final double mean; /** standardDeviation. */ private final double standardDeviation; /** Normalized Gaussian sampler. */ private final NormalizedGaussianSampler normalized; /** * @param normalized Generator of N(0,1) Gaussian distributed random numbers. * @param mean Mean of the Gaussian distribution. * @param standardDeviation Standard deviation of the Gaussian distribution. */ public GaussianSampler(NormalizedGaussianSampler normalized, double mean, double standardDeviation) { this.normalized = normalized; this.mean = mean; this.standardDeviation = standardDeviation; } /** {@inheritDoc} */ @Override public double sample() { return standardDeviation * normalized.sample() + mean; } /** {@inheritDoc} */ @Override public String toString() { return "Gaussian deviate [" + normalized.toString() + "]"; } }