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From er...@apache.org
Subject svn commit: r1002658 [24/35] - in /websites/production/commons/content/proper/commons-rng: ./ commons-rng-client-api/ commons-rng-client-api/apidocs/ commons-rng-client-api/apidocs/org/apache/commons/rng/ commons-rng-client-api/apidocs/org/apache/commo...
Date Mon, 12 Dec 2016 16:27:20 GMT
Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html Mon Dec 12 16:27:09 2016
@@ -35,8 +35,8 @@
 <a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment">     * For a random variable {@code X} distributed according to this distribution,</em>
 <a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment">     * the returned value is</em>
 <a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment">     * &lt;ul&gt;</em>
-<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment">     *  &lt;li&gt;\( \inf_{x \in \mathcal{Z}} P(X \le x) \ge p \) for \( 0 &lt; p \le 1 \)&lt;/li&gt;</em>
-<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment">     *  &lt;li&gt;\( \inf_{x \in \mathcal{Z}} P(X \le x) &gt; 0   \) for \( p = 0 \)&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment">     *  &lt;li&gt;\( \inf_{x \in \mathcal{Z}} P(X \le x) \ge p \) for \( 0 \lt p \le 1 \)&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment">     *  &lt;li&gt;\( \inf_{x \in \mathcal{Z}} P(X \le x) \gt 0 \) for \( p = 0 \)&lt;/li&gt;</em>
 <a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment">     * &lt;/ul&gt;</em>
 <a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment">     *</em>
 <a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment">     * @param p Cumulative probability.</em>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InternalGamma.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InternalGamma.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InternalGamma.html Mon Dec 12 16:27:09 2016
@@ -121,7 +121,7 @@
 <a class="jxr_linenumber" name="L113" href="#L113">113</a> 
 <a class="jxr_linenumber" name="L114" href="#L114">114</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> sum = lanczos(x);
 <a class="jxr_linenumber" name="L115" href="#L115">115</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tmp = x + LANCZOS_G + 0.5;
-<a class="jxr_linenumber" name="L116" href="#L116">116</a>         <strong class="jxr_keyword">return</strong> ((x + 0.5) * Math.log(tmp)) - tmp +  HALF_LOG_2_PI + Math.log(sum / x);
+<a class="jxr_linenumber" name="L116" href="#L116">116</a>         <strong class="jxr_keyword">return</strong> (x + 0.5) * Math.log(tmp) - tmp +  HALF_LOG_2_PI + Math.log(sum / x);
 <a class="jxr_linenumber" name="L117" href="#L117">117</a>     }
 <a class="jxr_linenumber" name="L118" href="#L118">118</a> 
 <a class="jxr_linenumber" name="L119" href="#L119">119</a>     <em class="jxr_javadoccomment">/**</em>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html Mon Dec 12 16:27:09 2016
@@ -31,64 +31,62 @@
 <a class="jxr_linenumber" name="L23" href="#L23">23</a>  <em class="jxr_javadoccomment"> * &lt;a href="https://en.wikipedia.org/wiki/Inverse_transform_sampling"&gt;</em>
 <a class="jxr_linenumber" name="L24" href="#L24">24</a>  <em class="jxr_javadoccomment"> * inversion method&lt;/a&gt;.</em>
 <a class="jxr_linenumber" name="L25" href="#L25">25</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;</em>
-<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> * It can be used to sample any distribution that provides access to its</em>
-<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> * &lt;em&gt;inverse cumulative probabilty function&lt;/em&gt;.</em>
-<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> * &lt;/p&gt;</em>
-<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;Example:&lt;/p&gt;</em>
-<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> * &lt;pre&gt;&lt;source&gt;</em>
-<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.RealDistribution;</em>
-<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.ChiSquaredDistribution;</em>
-<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.simple.RandomSource;</em>
-<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.ContinuousSampler;</em>
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler;</em>
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.ContinuousInverseCumulativeProbabilityFunction;</em>
-<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <em class="jxr_javadoccomment"> * // Distribution to sample.</em>
-<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <em class="jxr_javadoccomment"> * final RealDistribution dist = new ChiSquaredDistribution(9);</em>
-<a class="jxr_linenumber" name="L43" href="#L43">43</a>  <em class="jxr_javadoccomment"> * // Create the sampler.</em>
-<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment"> * final ContinuousSampler chiSquareSampler =</em>
-<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment"> *     new InverseTransformContinuousSampler(RandomSource.create(RandomSource.MT),</em>
-<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <em class="jxr_javadoccomment"> *                                        new ContinuousInverseCumulativeProbabilityFunction() {</em>
-<a class="jxr_linenumber" name="L47" href="#L47">47</a>  <em class="jxr_javadoccomment"> *                                            public double inverseCumulativeProbability(double p) {</em>
-<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <em class="jxr_javadoccomment"> *                                                return dist.inverseCumulativeProbability(p);</em>
-<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <em class="jxr_javadoccomment"> *                                            }</em>
-<a class="jxr_linenumber" name="L50" href="#L50">50</a>  <em class="jxr_javadoccomment"> *                                        });</em>
-<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment"> * // Generate random deviate.</em>
-<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment"> * double random = chiSquareSampler.sample();</em>
-<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <em class="jxr_javadoccomment"> * &lt;/source&gt;&lt;/pre&gt;</em>
-<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="L56" href="#L56">56</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html">InverseTransformContinuousSampler</a>
-<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <strong class="jxr_keyword">extends</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/SamplerBase.html">SamplerBase</a>
-<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <strong class="jxr_keyword">implements</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSampler.html">ContinuousSampler</a> {
-<a class="jxr_linenumber" name="L59" href="#L59">59</a>      <em class="jxr_javadoccomment">/** Inverse cumulative probability function. */</em>
-<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.html">ContinuousInverseCumulativeProbabilityFunction</a> function;
-<a class="jxr_linenumber" name="L61" href="#L61">61</a>  
-<a class="jxr_linenumber" name="L62" href="#L62">62</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L63" href="#L63">63</a>  <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed random numbers.</em>
-<a class="jxr_linenumber" name="L64" href="#L64">64</a>  <em class="jxr_javadoccomment">     * @param function Inverse cumulative probability function.</em>
-<a class="jxr_linenumber" name="L65" href="#L65">65</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L66" href="#L66">66</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html">InverseTransformContinuousSampler</a>(UniformRandomProvider rng,
-<a class="jxr_linenumber" name="L67" href="#L67">67</a>                                               <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.html">ContinuousInverseCumulativeProbabilityFunction</a> function) {
-<a class="jxr_linenumber" name="L68" href="#L68">68</a>          <strong class="jxr_keyword">super</strong>(rng);
-<a class="jxr_linenumber" name="L69" href="#L69">69</a>          <strong class="jxr_keyword">this</strong>.function = function;
-<a class="jxr_linenumber" name="L70" href="#L70">70</a>      }
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>  
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>      @Override
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> sample() {
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>          <strong class="jxr_keyword">return</strong> function.inverseCumulativeProbability(nextDouble());
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>      }
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>  
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L79" href="#L79">79</a>      @Override
-<a class="jxr_linenumber" name="L80" href="#L80">80</a>      <strong class="jxr_keyword">public</strong> String toString() {
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>          <strong class="jxr_keyword">return</strong> function.toString() + <span class="jxr_string">" (inverse method) ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>      }
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>  }
+<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment"> * It can be used to sample any distribution that provides access to its</em>
+<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> * &lt;em&gt;inverse cumulative probabilty function&lt;/em&gt;.</em>
+<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;Example:&lt;/p&gt;</em>
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment"> * &lt;pre&gt;&lt;code&gt;</em>
+<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.RealDistribution;</em>
+<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.ChiSquaredDistribution;</em>
+<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.simple.RandomSource;</em>
+<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.ContinuousSampler;</em>
+<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler;</em>
+<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.ContinuousInverseCumulativeProbabilityFunction;</em>
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> * // Distribution to sample.</em>
+<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <em class="jxr_javadoccomment"> * final RealDistribution dist = new ChiSquaredDistribution(9);</em>
+<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <em class="jxr_javadoccomment"> * // Create the sampler.</em>
+<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <em class="jxr_javadoccomment"> * final ContinuousSampler chiSquareSampler =</em>
+<a class="jxr_linenumber" name="L43" href="#L43">43</a>  <em class="jxr_javadoccomment"> *     new InverseTransformContinuousSampler(RandomSource.create(RandomSource.MT),</em>
+<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment"> *                                           new ContinuousInverseCumulativeProbabilityFunction() {</em>
+<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment"> *                                               public double inverseCumulativeProbability(double p) {</em>
+<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <em class="jxr_javadoccomment"> *                                                   return dist.inverseCumulativeProbability(p);</em>
+<a class="jxr_linenumber" name="L47" href="#L47">47</a>  <em class="jxr_javadoccomment"> *                                               }</em>
+<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <em class="jxr_javadoccomment"> *                                           });</em>
+<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L50" href="#L50">50</a>  <em class="jxr_javadoccomment"> * // Generate random deviate.</em>
+<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment"> * double random = chiSquareSampler.sample();</em>
+<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment"> * &lt;/code&gt;&lt;/pre&gt;</em>
+<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html">InverseTransformContinuousSampler</a>
+<a class="jxr_linenumber" name="L55" href="#L55">55</a>      <strong class="jxr_keyword">extends</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/SamplerBase.html">SamplerBase</a>
+<a class="jxr_linenumber" name="L56" href="#L56">56</a>      <strong class="jxr_keyword">implements</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSampler.html">ContinuousSampler</a> {
+<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <em class="jxr_javadoccomment">/** Inverse cumulative probability function. */</em>
+<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.html">ContinuousInverseCumulativeProbabilityFunction</a> function;
+<a class="jxr_linenumber" name="L59" href="#L59">59</a>  
+<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L61" href="#L61">61</a>  <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed random numbers.</em>
+<a class="jxr_linenumber" name="L62" href="#L62">62</a>  <em class="jxr_javadoccomment">     * @param function Inverse cumulative probability function.</em>
+<a class="jxr_linenumber" name="L63" href="#L63">63</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L64" href="#L64">64</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html">InverseTransformContinuousSampler</a>(UniformRandomProvider rng,
+<a class="jxr_linenumber" name="L65" href="#L65">65</a>                                               <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.html">ContinuousInverseCumulativeProbabilityFunction</a> function) {
+<a class="jxr_linenumber" name="L66" href="#L66">66</a>          <strong class="jxr_keyword">super</strong>(rng);
+<a class="jxr_linenumber" name="L67" href="#L67">67</a>          <strong class="jxr_keyword">this</strong>.function = function;
+<a class="jxr_linenumber" name="L68" href="#L68">68</a>      }
+<a class="jxr_linenumber" name="L69" href="#L69">69</a>  
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>      @Override
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> sample() {
+<a class="jxr_linenumber" name="L73" href="#L73">73</a>          <strong class="jxr_keyword">return</strong> function.inverseCumulativeProbability(nextDouble());
+<a class="jxr_linenumber" name="L74" href="#L74">74</a>      }
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>  
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>      @Override
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>      <strong class="jxr_keyword">public</strong> String toString() {
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>          <strong class="jxr_keyword">return</strong> function.toString() + <span class="jxr_string">" (inverse method) ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>      }
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>  }
 </pre>
 <hr/>
 <div id="footer">Copyright &#169; 2016 <a href="https://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</div>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html Mon Dec 12 16:27:09 2016
@@ -31,64 +31,62 @@
 <a class="jxr_linenumber" name="L23" href="#L23">23</a>  <em class="jxr_javadoccomment"> * &lt;a href="https://en.wikipedia.org/wiki/Inverse_transform_sampling"&gt;</em>
 <a class="jxr_linenumber" name="L24" href="#L24">24</a>  <em class="jxr_javadoccomment"> * inversion method&lt;/a&gt;.</em>
 <a class="jxr_linenumber" name="L25" href="#L25">25</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;</em>
-<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> * It can be used to sample any distribution that provides access to its</em>
-<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> * &lt;em&gt;inverse cumulative probabilty function&lt;/em&gt;.</em>
-<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> * &lt;/p&gt;</em>
-<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;Example:&lt;/p&gt;</em>
-<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> * &lt;pre&gt;&lt;source&gt;</em>
-<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.IntegerDistribution;</em>
-<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.BinomialDistribution;</em>
-<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.simple.RandomSource;</em>
-<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.DiscreteSampler;</em>
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler;</em>
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction;</em>
-<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <em class="jxr_javadoccomment"> * // Distribution to sample.</em>
-<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <em class="jxr_javadoccomment"> * final IntegerDistribution dist = new BinomialDistribution(11, 0.56);</em>
-<a class="jxr_linenumber" name="L43" href="#L43">43</a>  <em class="jxr_javadoccomment"> * // Create the sampler.</em>
-<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment"> * final DiscreteSampler binomialSampler =</em>
-<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment"> *     new InverseTransformDiscreteSampler(RandomSource.create(RandomSource.MT),</em>
-<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <em class="jxr_javadoccomment"> *                                      new DiscreteInverseCumulativeProbabilityFunction() {</em>
-<a class="jxr_linenumber" name="L47" href="#L47">47</a>  <em class="jxr_javadoccomment"> *                                          public int inverseCumulativeProbability(double p) {</em>
-<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <em class="jxr_javadoccomment"> *                                              return dist.inverseCumulativeProbability(p);</em>
-<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <em class="jxr_javadoccomment"> *                                          }</em>
-<a class="jxr_linenumber" name="L50" href="#L50">50</a>  <em class="jxr_javadoccomment"> *                                      });</em>
-<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment"> * // Generate random deviate.</em>
-<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment"> * int random = binomialSampler.sample();</em>
-<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <em class="jxr_javadoccomment"> * &lt;/source&gt;&lt;/pre&gt;</em>
-<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="L56" href="#L56">56</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html">InverseTransformDiscreteSampler</a>
-<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <strong class="jxr_keyword">extends</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/SamplerBase.html">SamplerBase</a>
-<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <strong class="jxr_keyword">implements</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSampler.html">DiscreteSampler</a> {
-<a class="jxr_linenumber" name="L59" href="#L59">59</a>      <em class="jxr_javadoccomment">/** Inverse cumulative probability function. */</em>
-<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html">DiscreteInverseCumulativeProbabilityFunction</a> function;
-<a class="jxr_linenumber" name="L61" href="#L61">61</a>  
-<a class="jxr_linenumber" name="L62" href="#L62">62</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L63" href="#L63">63</a>  <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed random numbers.</em>
-<a class="jxr_linenumber" name="L64" href="#L64">64</a>  <em class="jxr_javadoccomment">     * @param function Inverse cumulative probability function.</em>
-<a class="jxr_linenumber" name="L65" href="#L65">65</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L66" href="#L66">66</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html">InverseTransformDiscreteSampler</a>(UniformRandomProvider rng,
-<a class="jxr_linenumber" name="L67" href="#L67">67</a>                                             <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html">DiscreteInverseCumulativeProbabilityFunction</a> function) {
-<a class="jxr_linenumber" name="L68" href="#L68">68</a>          <strong class="jxr_keyword">super</strong>(rng);
-<a class="jxr_linenumber" name="L69" href="#L69">69</a>          <strong class="jxr_keyword">this</strong>.function = function;
-<a class="jxr_linenumber" name="L70" href="#L70">70</a>      }
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>  
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>      @Override
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> sample() {
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>          <strong class="jxr_keyword">return</strong> function.inverseCumulativeProbability(nextDouble());
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>      }
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>  
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L79" href="#L79">79</a>      @Override
-<a class="jxr_linenumber" name="L80" href="#L80">80</a>      <strong class="jxr_keyword">public</strong> String toString() {
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>          <strong class="jxr_keyword">return</strong> function.toString() + <span class="jxr_string">" (inverse method) ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>      }
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>  }
+<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment"> * It can be used to sample any distribution that provides access to its</em>
+<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> * &lt;em&gt;inverse cumulative probabilty function&lt;/em&gt;.</em>
+<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;Example:&lt;/p&gt;</em>
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment"> * &lt;pre&gt;&lt;code&gt;</em>
+<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.IntegerDistribution;</em>
+<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.math3.distribution.BinomialDistribution;</em>
+<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.simple.RandomSource;</em>
+<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.DiscreteSampler;</em>
+<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler;</em>
+<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <em class="jxr_javadoccomment"> * import org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction;</em>
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> * // Distribution to sample.</em>
+<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <em class="jxr_javadoccomment"> * final IntegerDistribution dist = new BinomialDistribution(11, 0.56);</em>
+<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <em class="jxr_javadoccomment"> * // Create the sampler.</em>
+<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <em class="jxr_javadoccomment"> * final DiscreteSampler binomialSampler =</em>
+<a class="jxr_linenumber" name="L43" href="#L43">43</a>  <em class="jxr_javadoccomment"> *     new InverseTransformDiscreteSampler(RandomSource.create(RandomSource.MT),</em>
+<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment"> *                                         new DiscreteInverseCumulativeProbabilityFunction() {</em>
+<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment"> *                                             public int inverseCumulativeProbability(double p) {</em>
+<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <em class="jxr_javadoccomment"> *                                                 return dist.inverseCumulativeProbability(p);</em>
+<a class="jxr_linenumber" name="L47" href="#L47">47</a>  <em class="jxr_javadoccomment"> *                                             }</em>
+<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <em class="jxr_javadoccomment"> *                                         });</em>
+<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="L50" href="#L50">50</a>  <em class="jxr_javadoccomment"> * // Generate random deviate.</em>
+<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment"> * int random = binomialSampler.sample();</em>
+<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment"> * &lt;/code&gt;&lt;/pre&gt;</em>
+<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html">InverseTransformDiscreteSampler</a>
+<a class="jxr_linenumber" name="L55" href="#L55">55</a>      <strong class="jxr_keyword">extends</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/SamplerBase.html">SamplerBase</a>
+<a class="jxr_linenumber" name="L56" href="#L56">56</a>      <strong class="jxr_keyword">implements</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSampler.html">DiscreteSampler</a> {
+<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <em class="jxr_javadoccomment">/** Inverse cumulative probability function. */</em>
+<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html">DiscreteInverseCumulativeProbabilityFunction</a> function;
+<a class="jxr_linenumber" name="L59" href="#L59">59</a>  
+<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L61" href="#L61">61</a>  <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed random numbers.</em>
+<a class="jxr_linenumber" name="L62" href="#L62">62</a>  <em class="jxr_javadoccomment">     * @param function Inverse cumulative probability function.</em>
+<a class="jxr_linenumber" name="L63" href="#L63">63</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L64" href="#L64">64</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html">InverseTransformDiscreteSampler</a>(UniformRandomProvider rng,
+<a class="jxr_linenumber" name="L65" href="#L65">65</a>                                             <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html">DiscreteInverseCumulativeProbabilityFunction</a> function) {
+<a class="jxr_linenumber" name="L66" href="#L66">66</a>          <strong class="jxr_keyword">super</strong>(rng);
+<a class="jxr_linenumber" name="L67" href="#L67">67</a>          <strong class="jxr_keyword">this</strong>.function = function;
+<a class="jxr_linenumber" name="L68" href="#L68">68</a>      }
+<a class="jxr_linenumber" name="L69" href="#L69">69</a>  
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>      @Override
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> sample() {
+<a class="jxr_linenumber" name="L73" href="#L73">73</a>          <strong class="jxr_keyword">return</strong> function.inverseCumulativeProbability(nextDouble());
+<a class="jxr_linenumber" name="L74" href="#L74">74</a>      }
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>  
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>      @Override
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>      <strong class="jxr_keyword">public</strong> String toString() {
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>          <strong class="jxr_keyword">return</strong> function.toString() + <span class="jxr_string">" (inverse method) ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>      }
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>  }
 </pre>
 <hr/>
 <div id="footer">Copyright &#169; 2016 <a href="https://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</div>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.html Mon Dec 12 16:27:09 2016
@@ -43,8 +43,8 @@
 <a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment">     * @param shape Shape of the distribution.</em>
 <a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment">     */</em>
 <a class="jxr_linenumber" name="L37" href="#L37">37</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.html">InverseTransformParetoSampler</a>(UniformRandomProvider rng,
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>                                        <strong class="jxr_keyword">double</strong> scale,
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>                                        <strong class="jxr_keyword">double</strong> shape) {
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>                                           <strong class="jxr_keyword">double</strong> scale,
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>                                           <strong class="jxr_keyword">double</strong> shape) {
 <a class="jxr_linenumber" name="L40" href="#L40">40</a>          <strong class="jxr_keyword">super</strong>(rng);
 <a class="jxr_linenumber" name="L41" href="#L41">41</a>          <strong class="jxr_keyword">this</strong>.scale = scale;
 <a class="jxr_linenumber" name="L42" href="#L42">42</a>          <strong class="jxr_keyword">this</strong>.shape = shape;

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/PoissonSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/PoissonSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/PoissonSampler.html Mon Dec 12 16:27:09 2016
@@ -74,119 +74,121 @@
 <a class="jxr_linenumber" name="L66" href="#L66">66</a>  
 <a class="jxr_linenumber" name="L67" href="#L67">67</a>          gaussian = <strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html">BoxMullerGaussianSampler</a>(rng, 0, 1);
 <a class="jxr_linenumber" name="L68" href="#L68">68</a>          exponential = <strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.html">AhrensDieterExponentialSampler</a>(rng, 1);
-<a class="jxr_linenumber" name="L69" href="#L69">69</a>          factorialLog = InternalUtils.FactorialLog.create();
-<a class="jxr_linenumber" name="L70" href="#L70">70</a>      }
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>  
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>      @Override
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> sample() {
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>          <strong class="jxr_keyword">return</strong> (<strong class="jxr_keyword">int</strong>) Math.min(nextPoisson(mean), Integer.MAX_VALUE);
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>      }
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>  
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L79" href="#L79">79</a>      @Override
-<a class="jxr_linenumber" name="L80" href="#L80">80</a>      <strong class="jxr_keyword">public</strong> String toString() {
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>          <strong class="jxr_keyword">return</strong> <span class="jxr_string">"Poisson deviate ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>      }
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>  
-<a class="jxr_linenumber" name="L84" href="#L84">84</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L85" href="#L85">85</a>  <em class="jxr_javadoccomment">     * @param meanPoisson Mean.</em>
-<a class="jxr_linenumber" name="L86" href="#L86">86</a>  <em class="jxr_javadoccomment">     * @return the next sample.</em>
-<a class="jxr_linenumber" name="L87" href="#L87">87</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L88" href="#L88">88</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">long</strong> nextPoisson(<strong class="jxr_keyword">double</strong> meanPoisson) {
-<a class="jxr_linenumber" name="L89" href="#L89">89</a>          <strong class="jxr_keyword">if</strong> (meanPoisson &lt; PIVOT) {
-<a class="jxr_linenumber" name="L90" href="#L90">90</a>              <strong class="jxr_keyword">double</strong> p = Math.exp(-meanPoisson);
-<a class="jxr_linenumber" name="L91" href="#L91">91</a>              <strong class="jxr_keyword">long</strong> n = 0;
-<a class="jxr_linenumber" name="L92" href="#L92">92</a>              <strong class="jxr_keyword">double</strong> r = 1;
-<a class="jxr_linenumber" name="L93" href="#L93">93</a>  
-<a class="jxr_linenumber" name="L94" href="#L94">94</a>              <strong class="jxr_keyword">while</strong> (n &lt; 1000 * meanPoisson) {
-<a class="jxr_linenumber" name="L95" href="#L95">95</a>                  r *= nextDouble();
-<a class="jxr_linenumber" name="L96" href="#L96">96</a>                  <strong class="jxr_keyword">if</strong> (r &gt;= p) {
-<a class="jxr_linenumber" name="L97" href="#L97">97</a>                      n++;
-<a class="jxr_linenumber" name="L98" href="#L98">98</a>                  } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L99" href="#L99">99</a>                      <strong class="jxr_keyword">break</strong>;
-<a class="jxr_linenumber" name="L100" href="#L100">100</a>                 }
-<a class="jxr_linenumber" name="L101" href="#L101">101</a>             }
-<a class="jxr_linenumber" name="L102" href="#L102">102</a>             <strong class="jxr_keyword">return</strong> n;
-<a class="jxr_linenumber" name="L103" href="#L103">103</a>         } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L104" href="#L104">104</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lambda = Math.floor(meanPoisson);
-<a class="jxr_linenumber" name="L105" href="#L105">105</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lambdaFractional = meanPoisson - lambda;
-<a class="jxr_linenumber" name="L106" href="#L106">106</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> logLambda = Math.log(lambda);
-<a class="jxr_linenumber" name="L107" href="#L107">107</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> logLambdaFactorial = factorialLog((<strong class="jxr_keyword">int</strong>) lambda);
-<a class="jxr_linenumber" name="L108" href="#L108">108</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> y2 = lambdaFractional &lt; Double.MIN_VALUE ? 0 : nextPoisson(lambdaFractional);
-<a class="jxr_linenumber" name="L109" href="#L109">109</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> delta = Math.sqrt(lambda * Math.log(32 * lambda / Math.PI + 1));
-<a class="jxr_linenumber" name="L110" href="#L110">110</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> halfDelta = delta / 2;
-<a class="jxr_linenumber" name="L111" href="#L111">111</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> twolpd = 2 * lambda + delta;
-<a class="jxr_linenumber" name="L112" href="#L112">112</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> a1 = Math.sqrt(Math.PI * twolpd) * Math.exp(1 / (8 * lambda));
-<a class="jxr_linenumber" name="L113" href="#L113">113</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> a2 = (twolpd / delta) * Math.exp(-delta * (1 + delta) / twolpd);
-<a class="jxr_linenumber" name="L114" href="#L114">114</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> aSum = a1 + a2 + 1;
-<a class="jxr_linenumber" name="L115" href="#L115">115</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> p1 = a1 / aSum;
-<a class="jxr_linenumber" name="L116" href="#L116">116</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> p2 = a2 / aSum;
-<a class="jxr_linenumber" name="L117" href="#L117">117</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> c1 = 1 / (8 * lambda);
-<a class="jxr_linenumber" name="L118" href="#L118">118</a> 
-<a class="jxr_linenumber" name="L119" href="#L119">119</a>             <strong class="jxr_keyword">double</strong> x = 0;
-<a class="jxr_linenumber" name="L120" href="#L120">120</a>             <strong class="jxr_keyword">double</strong> y = 0;
-<a class="jxr_linenumber" name="L121" href="#L121">121</a>             <strong class="jxr_keyword">double</strong> v = 0;
-<a class="jxr_linenumber" name="L122" href="#L122">122</a>             <strong class="jxr_keyword">int</strong> a = 0;
-<a class="jxr_linenumber" name="L123" href="#L123">123</a>             <strong class="jxr_keyword">double</strong> t = 0;
-<a class="jxr_linenumber" name="L124" href="#L124">124</a>             <strong class="jxr_keyword">double</strong> qr = 0;
-<a class="jxr_linenumber" name="L125" href="#L125">125</a>             <strong class="jxr_keyword">double</strong> qa = 0;
-<a class="jxr_linenumber" name="L126" href="#L126">126</a>             <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
-<a class="jxr_linenumber" name="L127" href="#L127">127</a>                 <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u = nextDouble();
-<a class="jxr_linenumber" name="L128" href="#L128">128</a>                 <strong class="jxr_keyword">if</strong> (u &lt;= p1) {
-<a class="jxr_linenumber" name="L129" href="#L129">129</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> n = gaussian.sample();
-<a class="jxr_linenumber" name="L130" href="#L130">130</a>                     x = n * Math.sqrt(lambda + halfDelta) - 0.5d;
-<a class="jxr_linenumber" name="L131" href="#L131">131</a>                     <strong class="jxr_keyword">if</strong> (x &gt; delta || x &lt; -lambda) {
-<a class="jxr_linenumber" name="L132" href="#L132">132</a>                         <strong class="jxr_keyword">continue</strong>;
-<a class="jxr_linenumber" name="L133" href="#L133">133</a>                     }
-<a class="jxr_linenumber" name="L134" href="#L134">134</a>                     y = x &lt; 0 ? Math.floor(x) : Math.ceil(x);
-<a class="jxr_linenumber" name="L135" href="#L135">135</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> e = exponential.sample();
-<a class="jxr_linenumber" name="L136" href="#L136">136</a>                     v = -e - (n * n / 2) + c1;
-<a class="jxr_linenumber" name="L137" href="#L137">137</a>                 } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L138" href="#L138">138</a>                     <strong class="jxr_keyword">if</strong> (u &gt; p1 + p2) {
-<a class="jxr_linenumber" name="L139" href="#L139">139</a>                         y = lambda;
-<a class="jxr_linenumber" name="L140" href="#L140">140</a>                         <strong class="jxr_keyword">break</strong>;
-<a class="jxr_linenumber" name="L141" href="#L141">141</a>                     } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L142" href="#L142">142</a>                         x = delta + (twolpd / delta) * exponential.sample();
-<a class="jxr_linenumber" name="L143" href="#L143">143</a>                         y = Math.ceil(x);
-<a class="jxr_linenumber" name="L144" href="#L144">144</a>                         v = -exponential.sample() - delta * (x + 1) / twolpd;
-<a class="jxr_linenumber" name="L145" href="#L145">145</a>                     }
-<a class="jxr_linenumber" name="L146" href="#L146">146</a>                 }
-<a class="jxr_linenumber" name="L147" href="#L147">147</a>                 a = x &lt; 0 ? 1 : 0;
-<a class="jxr_linenumber" name="L148" href="#L148">148</a>                 t = y * (y + 1) / (2 * lambda);
-<a class="jxr_linenumber" name="L149" href="#L149">149</a>                 <strong class="jxr_keyword">if</strong> (v &lt; -t &amp;&amp; a == 0) {
-<a class="jxr_linenumber" name="L150" href="#L150">150</a>                     y = lambda + y;
-<a class="jxr_linenumber" name="L151" href="#L151">151</a>                     <strong class="jxr_keyword">break</strong>;
-<a class="jxr_linenumber" name="L152" href="#L152">152</a>                 }
-<a class="jxr_linenumber" name="L153" href="#L153">153</a>                 qr = t * ((2 * y + 1) / (6 * lambda) - 1);
-<a class="jxr_linenumber" name="L154" href="#L154">154</a>                 qa = qr - (t * t) / (3 * (lambda + a * (y + 1)));
-<a class="jxr_linenumber" name="L155" href="#L155">155</a>                 <strong class="jxr_keyword">if</strong> (v &lt; qa) {
-<a class="jxr_linenumber" name="L156" href="#L156">156</a>                     y = lambda + y;
-<a class="jxr_linenumber" name="L157" href="#L157">157</a>                     <strong class="jxr_keyword">break</strong>;
-<a class="jxr_linenumber" name="L158" href="#L158">158</a>                 }
-<a class="jxr_linenumber" name="L159" href="#L159">159</a>                 <strong class="jxr_keyword">if</strong> (v &gt; qr) {
-<a class="jxr_linenumber" name="L160" href="#L160">160</a>                     <strong class="jxr_keyword">continue</strong>;
-<a class="jxr_linenumber" name="L161" href="#L161">161</a>                 }
-<a class="jxr_linenumber" name="L162" href="#L162">162</a>                 <strong class="jxr_keyword">if</strong> (v &lt; y * logLambda - factorialLog((<strong class="jxr_keyword">int</strong>) (y + lambda)) + logLambdaFactorial) {
-<a class="jxr_linenumber" name="L163" href="#L163">163</a>                     y = lambda + y;
-<a class="jxr_linenumber" name="L164" href="#L164">164</a>                     <strong class="jxr_keyword">break</strong>;
-<a class="jxr_linenumber" name="L165" href="#L165">165</a>                 }
-<a class="jxr_linenumber" name="L166" href="#L166">166</a>             }
-<a class="jxr_linenumber" name="L167" href="#L167">167</a>             <strong class="jxr_keyword">return</strong> y2 + (<strong class="jxr_keyword">long</strong>) y;
-<a class="jxr_linenumber" name="L168" href="#L168">168</a>         }
-<a class="jxr_linenumber" name="L169" href="#L169">169</a>     }
-<a class="jxr_linenumber" name="L170" href="#L170">170</a> 
-<a class="jxr_linenumber" name="L171" href="#L171">171</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L172" href="#L172">172</a> <em class="jxr_javadoccomment">     * Compute the natural logarithm of the factorial of {@code n}.</em>
-<a class="jxr_linenumber" name="L173" href="#L173">173</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L174" href="#L174">174</a> <em class="jxr_javadoccomment">     * @param n Argument.</em>
-<a class="jxr_linenumber" name="L175" href="#L175">175</a> <em class="jxr_javadoccomment">     * @return {@code log(n!)}</em>
-<a class="jxr_linenumber" name="L176" href="#L176">176</a> <em class="jxr_javadoccomment">     * @throws IllegalArgumentException if {@code n &lt; 0}.</em>
-<a class="jxr_linenumber" name="L177" href="#L177">177</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L178" href="#L178">178</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">double</strong> factorialLog(<strong class="jxr_keyword">int</strong> n) {
-<a class="jxr_linenumber" name="L179" href="#L179">179</a>         <strong class="jxr_keyword">return</strong> factorialLog.value(n);
-<a class="jxr_linenumber" name="L180" href="#L180">180</a>     }
-<a class="jxr_linenumber" name="L181" href="#L181">181</a> }
+<a class="jxr_linenumber" name="L69" href="#L69">69</a>          factorialLog = mean &lt; PIVOT ?
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>              <strong class="jxr_keyword">null</strong> : <em class="jxr_comment">// Not used.</em>
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>              InternalUtils.FactorialLog.create().withCache((<strong class="jxr_keyword">int</strong>) Math.min(mean, 2 * PIVOT));
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>      }
+<a class="jxr_linenumber" name="L73" href="#L73">73</a>  
+<a class="jxr_linenumber" name="L74" href="#L74">74</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>      @Override
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> sample() {
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>          <strong class="jxr_keyword">return</strong> (<strong class="jxr_keyword">int</strong>) Math.min(nextPoisson(mean), Integer.MAX_VALUE);
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>      }
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>  
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>      @Override
+<a class="jxr_linenumber" name="L82" href="#L82">82</a>      <strong class="jxr_keyword">public</strong> String toString() {
+<a class="jxr_linenumber" name="L83" href="#L83">83</a>          <strong class="jxr_keyword">return</strong> <span class="jxr_string">"Poisson deviate ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
+<a class="jxr_linenumber" name="L84" href="#L84">84</a>      }
+<a class="jxr_linenumber" name="L85" href="#L85">85</a>  
+<a class="jxr_linenumber" name="L86" href="#L86">86</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L87" href="#L87">87</a>  <em class="jxr_javadoccomment">     * @param meanPoisson Mean.</em>
+<a class="jxr_linenumber" name="L88" href="#L88">88</a>  <em class="jxr_javadoccomment">     * @return the next sample.</em>
+<a class="jxr_linenumber" name="L89" href="#L89">89</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L90" href="#L90">90</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">long</strong> nextPoisson(<strong class="jxr_keyword">double</strong> meanPoisson) {
+<a class="jxr_linenumber" name="L91" href="#L91">91</a>          <strong class="jxr_keyword">if</strong> (meanPoisson &lt; PIVOT) {
+<a class="jxr_linenumber" name="L92" href="#L92">92</a>              <strong class="jxr_keyword">double</strong> p = Math.exp(-meanPoisson);
+<a class="jxr_linenumber" name="L93" href="#L93">93</a>              <strong class="jxr_keyword">long</strong> n = 0;
+<a class="jxr_linenumber" name="L94" href="#L94">94</a>              <strong class="jxr_keyword">double</strong> r = 1;
+<a class="jxr_linenumber" name="L95" href="#L95">95</a>  
+<a class="jxr_linenumber" name="L96" href="#L96">96</a>              <strong class="jxr_keyword">while</strong> (n &lt; 1000 * meanPoisson) {
+<a class="jxr_linenumber" name="L97" href="#L97">97</a>                  r *= nextDouble();
+<a class="jxr_linenumber" name="L98" href="#L98">98</a>                  <strong class="jxr_keyword">if</strong> (r &gt;= p) {
+<a class="jxr_linenumber" name="L99" href="#L99">99</a>                      n++;
+<a class="jxr_linenumber" name="L100" href="#L100">100</a>                 } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L101" href="#L101">101</a>                     <strong class="jxr_keyword">break</strong>;
+<a class="jxr_linenumber" name="L102" href="#L102">102</a>                 }
+<a class="jxr_linenumber" name="L103" href="#L103">103</a>             }
+<a class="jxr_linenumber" name="L104" href="#L104">104</a>             <strong class="jxr_keyword">return</strong> n;
+<a class="jxr_linenumber" name="L105" href="#L105">105</a>         } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L106" href="#L106">106</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lambda = Math.floor(meanPoisson);
+<a class="jxr_linenumber" name="L107" href="#L107">107</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lambdaFractional = meanPoisson - lambda;
+<a class="jxr_linenumber" name="L108" href="#L108">108</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> logLambda = Math.log(lambda);
+<a class="jxr_linenumber" name="L109" href="#L109">109</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> logLambdaFactorial = factorialLog((<strong class="jxr_keyword">int</strong>) lambda);
+<a class="jxr_linenumber" name="L110" href="#L110">110</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> y2 = lambdaFractional &lt; Double.MIN_VALUE ? 0 : nextPoisson(lambdaFractional);
+<a class="jxr_linenumber" name="L111" href="#L111">111</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> delta = Math.sqrt(lambda * Math.log(32 * lambda / Math.PI + 1));
+<a class="jxr_linenumber" name="L112" href="#L112">112</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> halfDelta = delta / 2;
+<a class="jxr_linenumber" name="L113" href="#L113">113</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> twolpd = 2 * lambda + delta;
+<a class="jxr_linenumber" name="L114" href="#L114">114</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> a1 = Math.sqrt(Math.PI * twolpd) * Math.exp(1 / (8 * lambda));
+<a class="jxr_linenumber" name="L115" href="#L115">115</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> a2 = (twolpd / delta) * Math.exp(-delta * (1 + delta) / twolpd);
+<a class="jxr_linenumber" name="L116" href="#L116">116</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> aSum = a1 + a2 + 1;
+<a class="jxr_linenumber" name="L117" href="#L117">117</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> p1 = a1 / aSum;
+<a class="jxr_linenumber" name="L118" href="#L118">118</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> p2 = a2 / aSum;
+<a class="jxr_linenumber" name="L119" href="#L119">119</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> c1 = 1 / (8 * lambda);
+<a class="jxr_linenumber" name="L120" href="#L120">120</a> 
+<a class="jxr_linenumber" name="L121" href="#L121">121</a>             <strong class="jxr_keyword">double</strong> x = 0;
+<a class="jxr_linenumber" name="L122" href="#L122">122</a>             <strong class="jxr_keyword">double</strong> y = 0;
+<a class="jxr_linenumber" name="L123" href="#L123">123</a>             <strong class="jxr_keyword">double</strong> v = 0;
+<a class="jxr_linenumber" name="L124" href="#L124">124</a>             <strong class="jxr_keyword">int</strong> a = 0;
+<a class="jxr_linenumber" name="L125" href="#L125">125</a>             <strong class="jxr_keyword">double</strong> t = 0;
+<a class="jxr_linenumber" name="L126" href="#L126">126</a>             <strong class="jxr_keyword">double</strong> qr = 0;
+<a class="jxr_linenumber" name="L127" href="#L127">127</a>             <strong class="jxr_keyword">double</strong> qa = 0;
+<a class="jxr_linenumber" name="L128" href="#L128">128</a>             <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
+<a class="jxr_linenumber" name="L129" href="#L129">129</a>                 <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u = nextDouble();
+<a class="jxr_linenumber" name="L130" href="#L130">130</a>                 <strong class="jxr_keyword">if</strong> (u &lt;= p1) {
+<a class="jxr_linenumber" name="L131" href="#L131">131</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> n = gaussian.sample();
+<a class="jxr_linenumber" name="L132" href="#L132">132</a>                     x = n * Math.sqrt(lambda + halfDelta) - 0.5d;
+<a class="jxr_linenumber" name="L133" href="#L133">133</a>                     <strong class="jxr_keyword">if</strong> (x &gt; delta || x &lt; -lambda) {
+<a class="jxr_linenumber" name="L134" href="#L134">134</a>                         <strong class="jxr_keyword">continue</strong>;
+<a class="jxr_linenumber" name="L135" href="#L135">135</a>                     }
+<a class="jxr_linenumber" name="L136" href="#L136">136</a>                     y = x &lt; 0 ? Math.floor(x) : Math.ceil(x);
+<a class="jxr_linenumber" name="L137" href="#L137">137</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> e = exponential.sample();
+<a class="jxr_linenumber" name="L138" href="#L138">138</a>                     v = -e - 0.5 * n * n + c1;
+<a class="jxr_linenumber" name="L139" href="#L139">139</a>                 } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L140" href="#L140">140</a>                     <strong class="jxr_keyword">if</strong> (u &gt; p1 + p2) {
+<a class="jxr_linenumber" name="L141" href="#L141">141</a>                         y = lambda;
+<a class="jxr_linenumber" name="L142" href="#L142">142</a>                         <strong class="jxr_keyword">break</strong>;
+<a class="jxr_linenumber" name="L143" href="#L143">143</a>                     } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L144" href="#L144">144</a>                         x = delta + (twolpd / delta) * exponential.sample();
+<a class="jxr_linenumber" name="L145" href="#L145">145</a>                         y = Math.ceil(x);
+<a class="jxr_linenumber" name="L146" href="#L146">146</a>                         v = -exponential.sample() - delta * (x + 1) / twolpd;
+<a class="jxr_linenumber" name="L147" href="#L147">147</a>                     }
+<a class="jxr_linenumber" name="L148" href="#L148">148</a>                 }
+<a class="jxr_linenumber" name="L149" href="#L149">149</a>                 a = x &lt; 0 ? 1 : 0;
+<a class="jxr_linenumber" name="L150" href="#L150">150</a>                 t = y * (y + 1) / (2 * lambda);
+<a class="jxr_linenumber" name="L151" href="#L151">151</a>                 <strong class="jxr_keyword">if</strong> (v &lt; -t &amp;&amp; a == 0) {
+<a class="jxr_linenumber" name="L152" href="#L152">152</a>                     y = lambda + y;
+<a class="jxr_linenumber" name="L153" href="#L153">153</a>                     <strong class="jxr_keyword">break</strong>;
+<a class="jxr_linenumber" name="L154" href="#L154">154</a>                 }
+<a class="jxr_linenumber" name="L155" href="#L155">155</a>                 qr = t * ((2 * y + 1) / (6 * lambda) - 1);
+<a class="jxr_linenumber" name="L156" href="#L156">156</a>                 qa = qr - (t * t) / (3 * (lambda + a * (y + 1)));
+<a class="jxr_linenumber" name="L157" href="#L157">157</a>                 <strong class="jxr_keyword">if</strong> (v &lt; qa) {
+<a class="jxr_linenumber" name="L158" href="#L158">158</a>                     y = lambda + y;
+<a class="jxr_linenumber" name="L159" href="#L159">159</a>                     <strong class="jxr_keyword">break</strong>;
+<a class="jxr_linenumber" name="L160" href="#L160">160</a>                 }
+<a class="jxr_linenumber" name="L161" href="#L161">161</a>                 <strong class="jxr_keyword">if</strong> (v &gt; qr) {
+<a class="jxr_linenumber" name="L162" href="#L162">162</a>                     <strong class="jxr_keyword">continue</strong>;
+<a class="jxr_linenumber" name="L163" href="#L163">163</a>                 }
+<a class="jxr_linenumber" name="L164" href="#L164">164</a>                 <strong class="jxr_keyword">if</strong> (v &lt; y * logLambda - factorialLog((<strong class="jxr_keyword">int</strong>) (y + lambda)) + logLambdaFactorial) {
+<a class="jxr_linenumber" name="L165" href="#L165">165</a>                     y = lambda + y;
+<a class="jxr_linenumber" name="L166" href="#L166">166</a>                     <strong class="jxr_keyword">break</strong>;
+<a class="jxr_linenumber" name="L167" href="#L167">167</a>                 }
+<a class="jxr_linenumber" name="L168" href="#L168">168</a>             }
+<a class="jxr_linenumber" name="L169" href="#L169">169</a>             <strong class="jxr_keyword">return</strong> y2 + (<strong class="jxr_keyword">long</strong>) y;
+<a class="jxr_linenumber" name="L170" href="#L170">170</a>         }
+<a class="jxr_linenumber" name="L171" href="#L171">171</a>     }
+<a class="jxr_linenumber" name="L172" href="#L172">172</a> 
+<a class="jxr_linenumber" name="L173" href="#L173">173</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L174" href="#L174">174</a> <em class="jxr_javadoccomment">     * Compute the natural logarithm of the factorial of {@code n}.</em>
+<a class="jxr_linenumber" name="L175" href="#L175">175</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L176" href="#L176">176</a> <em class="jxr_javadoccomment">     * @param n Argument.</em>
+<a class="jxr_linenumber" name="L177" href="#L177">177</a> <em class="jxr_javadoccomment">     * @return {@code log(n!)}</em>
+<a class="jxr_linenumber" name="L178" href="#L178">178</a> <em class="jxr_javadoccomment">     * @throws IllegalArgumentException if {@code n &lt; 0}.</em>
+<a class="jxr_linenumber" name="L179" href="#L179">179</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L180" href="#L180">180</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">double</strong> factorialLog(<strong class="jxr_keyword">int</strong> n) {
+<a class="jxr_linenumber" name="L181" href="#L181">181</a>         <strong class="jxr_keyword">return</strong> factorialLog.value(n);
+<a class="jxr_linenumber" name="L182" href="#L182">182</a>     }
+<a class="jxr_linenumber" name="L183" href="#L183">183</a> }
 </pre>
 <hr/>
 <div id="footer">Copyright &#169; 2016 <a href="https://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</div>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSampler.html Mon Dec 12 16:27:09 2016
@@ -77,7 +77,7 @@
 <a class="jxr_linenumber" name="L69" href="#L69">69</a>  <em class="jxr_javadoccomment">     * &lt;blockquote&gt;</em>
 <a class="jxr_linenumber" name="L70" href="#L70">70</a>  <em class="jxr_javadoccomment">     *   Wolfgang Hörmann and Gerhard Derflinger.</em>
 <a class="jxr_linenumber" name="L71" href="#L71">71</a>  <em class="jxr_javadoccomment">     *   &lt;i&gt;"Rejection-inversion to generate variates from monotone discrete</em>
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>  <em class="jxr_javadoccomment">     *    distributions",&lt;i&gt;&lt;br&gt;</em>
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>  <em class="jxr_javadoccomment">     *    distributions",&lt;/i&gt;&lt;br&gt;</em>
 <a class="jxr_linenumber" name="L73" href="#L73">73</a>  <em class="jxr_javadoccomment">     *   &lt;strong&gt;ACM Transactions on Modeling and Computer Simulation&lt;/strong&gt; (TOMACS) 6.3 (1996): 169-184.</em>
 <a class="jxr_linenumber" name="L74" href="#L74">74</a>  <em class="jxr_javadoccomment">     * &lt;/blockquote&gt;</em>
 <a class="jxr_linenumber" name="L75" href="#L75">75</a>  <em class="jxr_javadoccomment">     */</em>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/package-frame.html Mon Dec 12 16:27:09 2016
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference Package org.apache.commons.rng.sampling.distribution</title>
+		<title>Apache Commons RNG Sampling 1.0 Reference Package org.apache.commons.rng.sampling.distribution</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/package-summary.html Mon Dec 12 16:27:09 2016
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference Package org.apache.commons.rng.sampling.distribution</title>
+		<title>Apache Commons RNG Sampling 1.0 Reference Package org.apache.commons.rng.sampling.distribution</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/package-frame.html Mon Dec 12 16:27:09 2016
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference Package org.apache.commons.rng.sampling</title>
+		<title>Apache Commons RNG Sampling 1.0 Reference Package org.apache.commons.rng.sampling</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/package-summary.html Mon Dec 12 16:27:09 2016
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference Package org.apache.commons.rng.sampling</title>
+		<title>Apache Commons RNG Sampling 1.0 Reference Package org.apache.commons.rng.sampling</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/overview-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/overview-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/overview-frame.html Mon Dec 12 16:27:09 2016
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference</title>
+		<title>Apache Commons RNG Sampling 1.0 Reference</title>
 		<link rel="stylesheet" type="text/css" href="stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/overview-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/overview-summary.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/overview-summary.html Mon Dec 12 16:27:09 2016
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference</title>
+		<title>Apache Commons RNG Sampling 1.0 Reference</title>
 		<link rel="stylesheet" type="text/css" href="stylesheet.css" title="style" />
 	</head>
 	<body>
@@ -24,7 +24,7 @@
 	        </ul>
       	</div>
 		
-		      	<h2>Apache Commons RNG Sampling 1.0-SNAPSHOT Reference</h2>
+		      	<h2>Apache Commons RNG Sampling 1.0 Reference</h2>
 
 		<table class="summary">
         	<thead>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/allclasses-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/allclasses-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/allclasses-frame.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>All Classes (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>All Classes (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
 <script type="text/javascript" src="script.js"></script>
 </head>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/allclasses-noframe.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/allclasses-noframe.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/allclasses-noframe.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>All Classes (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>All Classes (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
 <script type="text/javascript" src="script.js"></script>
 </head>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/constant-values.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/constant-values.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/constant-values.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Constant Field Values (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>Constant Field Values (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
 <script type="text/javascript" src="script.js"></script>
 </head>
@@ -12,7 +12,7 @@
 <script type="text/javascript"><!--
     try {
         if (location.href.indexOf('is-external=true') == -1) {
-            parent.document.title="Constant Field Values (Apache Commons RNG Simple 1.0-SNAPSHOT API)";
+            parent.document.title="Constant Field Values (Apache Commons RNG Simple 1.0 API)";
         }
     }
     catch(err) {

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/deprecated-list.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/deprecated-list.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/deprecated-list.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Deprecated List (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>Deprecated List (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
 <script type="text/javascript" src="script.js"></script>
 </head>
@@ -12,7 +12,7 @@
 <script type="text/javascript"><!--
     try {
         if (location.href.indexOf('is-external=true') == -1) {
-            parent.document.title="Deprecated List (Apache Commons RNG Simple 1.0-SNAPSHOT API)";
+            parent.document.title="Deprecated List (Apache Commons RNG Simple 1.0 API)";
         }
     }
     catch(err) {

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/help-doc.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/help-doc.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/help-doc.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>API Help (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>API Help (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
 <script type="text/javascript" src="script.js"></script>
 </head>
@@ -12,7 +12,7 @@
 <script type="text/javascript"><!--
     try {
         if (location.href.indexOf('is-external=true') == -1) {
-            parent.document.title="API Help (Apache Commons RNG Simple 1.0-SNAPSHOT API)";
+            parent.document.title="API Help (Apache Commons RNG Simple 1.0 API)";
         }
     }
     catch(err) {

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/index-all.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/index-all.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/index-all.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Index (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>Index (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
 <script type="text/javascript" src="script.js"></script>
 </head>
@@ -12,7 +12,7 @@
 <script type="text/javascript"><!--
     try {
         if (location.href.indexOf('is-external=true') == -1) {
-            parent.document.title="Index (Apache Commons RNG Simple 1.0-SNAPSHOT API)";
+            parent.document.title="Index (Apache Commons RNG Simple 1.0 API)";
         }
     }
     catch(err) {

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/index.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/index.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/index.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Apache Commons RNG Simple 1.0-SNAPSHOT API</title>
+<title>Apache Commons RNG Simple 1.0 API</title>
 <script type="text/javascript">
     targetPage = "" + window.location.search;
     if (targetPage != "" && targetPage != "undefined")

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/org/apache/commons/rng/simple/JDKRandomBridge.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/org/apache/commons/rng/simple/JDKRandomBridge.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/org/apache/commons/rng/simple/JDKRandomBridge.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>JDKRandomBridge (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>JDKRandomBridge (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css" title="Style">
 <script type="text/javascript" src="../../../../../script.js"></script>
 </head>
@@ -12,7 +12,7 @@
 <script type="text/javascript"><!--
     try {
         if (location.href.indexOf('is-external=true') == -1) {
-            parent.document.title="JDKRandomBridge (Apache Commons RNG Simple 1.0-SNAPSHOT API)";
+            parent.document.title="JDKRandomBridge (Apache Commons RNG Simple 1.0 API)";
         }
     }
     catch(err) {

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/org/apache/commons/rng/simple/RandomSource.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/org/apache/commons/rng/simple/RandomSource.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-simple/apidocs/org/apache/commons/rng/simple/RandomSource.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <head>
 <!-- Generated by javadoc -->
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>RandomSource (Apache Commons RNG Simple 1.0-SNAPSHOT API)</title>
+<title>RandomSource (Apache Commons RNG Simple 1.0 API)</title>
 <link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css" title="Style">
 <script type="text/javascript" src="../../../../../script.js"></script>
 </head>
@@ -12,7 +12,7 @@
 <script type="text/javascript"><!--
     try {
         if (location.href.indexOf('is-external=true') == -1) {
-            parent.document.title="RandomSource (Apache Commons RNG Simple 1.0-SNAPSHOT API)";
+            parent.document.title="RandomSource (Apache Commons RNG Simple 1.0 API)";
         }
     }
     catch(err) {



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