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1   package nl.tudelft.simulation.jstats.distributions;
2   
3   import org.djutils.exceptions.Throw;
4   
5   import nl.tudelft.simulation.jstats.streams.StreamInterface;
6   
7   /**
8    * The Geometric distribution. The geometric distribution is the only discrete memoryless random distribution. It is a discrete
9    * analog of the exponential distribution. There are two variants, one that indicates the number of Bernoulli trials to get the
10   * first success (1, 2, 3, ...), and one that indicates the number of failures before the first success (0, 1, 2, ...). In line
11   * with Law & Kelton, the version of the number of failures before the first success is modeled here, so X ={0, 1, 2, ...}.
12   * For more information on this distribution see <a href="https://mathworld.wolfram.com/GeometricDistribution.html">
13   * https://mathworld.wolfram.com/GeometricDistribution.html </a>
14   * <p>
15   * Copyright (c) 2002-2025 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See
16   * for project information <a href="https://simulation.tudelft.nl/dsol/manual/" target="_blank">DSOL Manual</a>. The DSOL
17   * project is distributed under a three-clause BSD-style license, which can be found at
18   * <a href="https://simulation.tudelft.nl/dsol/docs/latest/license.html" target="_blank">DSOL License</a>.
19   * </p>
20   * @author <a href="https://www.linkedin.com/in/peterhmjacobs">Peter Jacobs </a>
21   * @author <a href="https://github.com/averbraeck">Alexander Verbraeck</a>
22   */
23  public class DistGeometric extends DistDiscrete
24  {
25      /** p is the the probability of success for each individual trial. */
26      private final double p;
27  
28      /** lnp is a helper variable with value ln(1-p) to avoid repetitive calculation. */
29      private final double lnp;
30  
31      /**
32       * Construct a new geometric distribution for a repeated set of Bernoulli trials, indicating the number of failures before
33       * the first success.
34       * @param stream the random number stream
35       * @param p the probability of success for each individual trial
36       * @throws IllegalArgumentException when p &lt;= 0 or p &gt;= 1
37       */
38      public DistGeometric(final StreamInterface stream, final double p)
39      {
40          super(stream);
41          Throw.when(p <= 0.0 || p >= 1.0, IllegalArgumentException.class, "Error Geometric - p <= 0 or p >= 1");
42          this.p = p;
43          this.lnp = Math.log(1.0 - this.p);
44      }
45  
46      @Override
47      public long draw()
48      {
49          double u = this.stream.nextDouble();
50          return (long) (Math.floor(Math.log(u) / this.lnp));
51      }
52  
53      @Override
54      public double probability(final long observation)
55      {
56          if (observation >= 0)
57          {
58              return this.p * Math.pow(1 - this.p, observation);
59          }
60          return 0.0;
61      }
62  
63      /**
64       * Return the probability of success for each individual trial.
65       * @return the probability of success for each individual trial
66       */
67      public double getP()
68      {
69          return this.p;
70      }
71  
72      @Override
73      public String toString()
74      {
75          return "Geometric(" + this.p + ")";
76      }
77  }