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/*
* 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;
import org.apache.commons.rng.UniformRandomProvider;
/**
* Sampling from a <a href="https://en.wikipedia.org/wiki/Log-normal_distribution">
* log-normal distribution</a>.
* Uses {@link BoxMullerNormalizedGaussianSampler} as the underlying sampler.
*
* @deprecated since 1.1. Please use {@link LogNormalSampler} instead.
*/
@Deprecated
public class BoxMullerLogNormalSampler
extends SamplerBase
implements ContinuousSampler {
/** Delegate. */
private final ContinuousSampler sampler;
/**
* @param rng Generator of uniformly distributed random numbers.
* @param scale Scale of the log-normal distribution.
* @param shape Shape of the log-normal distribution.
*/
public BoxMullerLogNormalSampler(UniformRandomProvider rng,
double scale,
double shape) {
super(null);
sampler = new LogNormalSampler(new BoxMullerNormalizedGaussianSampler(rng),
scale, shape);
}
/** {@inheritDoc} */
@Override
public double sample() {
return sampler.sample();
}
/** {@inheritDoc} */
@Override
public String toString() {
return sampler.toString();
}
}