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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  package org.apache.commons.rng.sampling.distribution;
18  
19  import org.apache.commons.rng.UniformRandomProvider;
20  
21  /**
22   * Sampling from a <a href="https://en.wikipedia.org/wiki/Log-normal_distribution">
23   * log-normal distribution</a>.
24   * Uses {@link BoxMullerNormalizedGaussianSampler} as the underlying sampler.
25   *
26   * <p>Sampling uses {@link UniformRandomProvider#nextDouble()}.</p>
27   *
28   * @since 1.0
29   *
30   * @deprecated Since version 1.1. Please use {@link LogNormalSampler} instead.
31   */
32  @Deprecated
33  public class BoxMullerLogNormalSampler
34      extends SamplerBase
35      implements ContinuousSampler {
36      /** Delegate. */
37      private final ContinuousSampler sampler;
38  
39      /**
40       * @param rng Generator of uniformly distributed random numbers.
41       * @param mu Mean of the natural logarithm of the distribution values.
42       * @param sigma Standard deviation of the natural logarithm of the distribution values.
43       * @throws IllegalArgumentException if {@code sigma <= 0}.
44       */
45      public BoxMullerLogNormalSampler(UniformRandomProvider rng,
46                                       double mu,
47                                       double sigma) {
48          super(null);
49          sampler = LogNormalSampler.of(new BoxMullerNormalizedGaussianSampler(rng),
50                                        mu, sigma);
51      }
52  
53      /** {@inheritDoc} */
54      @Override
55      public double sample() {
56          return sampler.sample();
57      }
58  
59      /** {@inheritDoc} */
60      @Override
61      public String toString() {
62          return sampler.toString();
63      }
64  }