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From l..@apache.org
Subject svn commit: r951633 [6/49] - in /websites/production/commons/content/proper/commons-math: xref-test/ xref-test/org/apache/commons/math3/ xref-test/org/apache/commons/math3/analysis/ xref-test/org/apache/commons/math3/analysis/differentiation/ xref-test...
Date Sun, 17 May 2015 17:05:54 GMT
Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/ZipfDistributionTest.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/ZipfDistributionTest.html (original)
+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/ZipfDistributionTest.html Sun May 17 17:05:50 2015
@@ -25,109 +25,323 @@
 <a class="jxr_linenumber" name="L17" href="#L17">17</a>  
 <a class="jxr_linenumber" name="L18" href="#L18">18</a>  <strong class="jxr_keyword">package</strong> org.apache.commons.math3.distribution;
 <a class="jxr_linenumber" name="L19" href="#L19">19</a>  
-<a class="jxr_linenumber" name="L20" href="#L20">20</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.NotStrictlyPositiveException;
-<a class="jxr_linenumber" name="L21" href="#L21">21</a>  
-<a class="jxr_linenumber" name="L22" href="#L22">22</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.util.FastMath;
-<a class="jxr_linenumber" name="L23" href="#L23">23</a>  <strong class="jxr_keyword">import</strong> org.junit.Assert;
-<a class="jxr_linenumber" name="L24" href="#L24">24</a>  <strong class="jxr_keyword">import</strong> org.junit.Test;
-<a class="jxr_linenumber" name="L25" href="#L25">25</a>  
-<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> * Test cases for {@link ZipfDistribution}.</em>
-<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> * Extends IntegerDistributionAbstractTest.  See class javadoc for</em>
-<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> * IntegerDistributionAbstractTest for details.</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"> */</em>
-<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../org/apache/commons/math3/distribution/ZipfDistributionTest.html">ZipfDistributionTest</a> <strong class="jxr_keyword">extends</strong> <a href="../../../../../org/apache/commons/math3/distribution/IntegerDistributionAbstractTest.html">IntegerDistributionAbstractTest</a> {
-<a class="jxr_linenumber" name="L33" href="#L33">33</a>  
-<a class="jxr_linenumber" name="L34" href="#L34">34</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment">     * Constructor to override default tolerance.</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/math3/distribution/ZipfDistributionTest.html">ZipfDistributionTest</a>() {
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>          setTolerance(1e-12);
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>      }
-<a class="jxr_linenumber" name="L40" href="#L40">40</a>      
-<a class="jxr_linenumber" name="L41" href="#L41">41</a>      @Test(expected=NotStrictlyPositiveException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="L42" href="#L42">42</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testPreconditions1() {
-<a class="jxr_linenumber" name="L43" href="#L43">43</a>          <strong class="jxr_keyword">new</strong> ZipfDistribution(0, 1);
-<a class="jxr_linenumber" name="L44" href="#L44">44</a>      }
-<a class="jxr_linenumber" name="L45" href="#L45">45</a>  
-<a class="jxr_linenumber" name="L46" href="#L46">46</a>      @Test(expected=NotStrictlyPositiveException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="L47" href="#L47">47</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testPreconditions2() {
-<a class="jxr_linenumber" name="L48" href="#L48">48</a>          <strong class="jxr_keyword">new</strong> ZipfDistribution(1, 0);
-<a class="jxr_linenumber" name="L49" href="#L49">49</a>      }
-<a class="jxr_linenumber" name="L50" href="#L50">50</a>  
-<a class="jxr_linenumber" name="L51" href="#L51">51</a>      <em class="jxr_comment">//-------------- Implementations for abstract methods -----------------------</em>
-<a class="jxr_linenumber" name="L52" href="#L52">52</a>  
-<a class="jxr_linenumber" name="L53" href="#L53">53</a>      <em class="jxr_javadoccomment">/** Creates the default discrete distribution instance to use in tests. */</em>
-<a class="jxr_linenumber" name="L54" href="#L54">54</a>      @Override
-<a class="jxr_linenumber" name="L55" href="#L55">55</a>      <strong class="jxr_keyword">public</strong> IntegerDistribution makeDistribution() {
-<a class="jxr_linenumber" name="L56" href="#L56">56</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> ZipfDistribution(10, 1);
-<a class="jxr_linenumber" name="L57" href="#L57">57</a>      }
-<a class="jxr_linenumber" name="L58" href="#L58">58</a>  
-<a class="jxr_linenumber" name="L59" href="#L59">59</a>      <em class="jxr_javadoccomment">/** Creates the default probability density test input values */</em>
-<a class="jxr_linenumber" name="L60" href="#L60">60</a>      @Override
-<a class="jxr_linenumber" name="L61" href="#L61">61</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong>[] makeDensityTestPoints() {
-<a class="jxr_linenumber" name="L62" href="#L62">62</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">int</strong>[] {-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
-<a class="jxr_linenumber" name="L63" href="#L63">63</a>      }
-<a class="jxr_linenumber" name="L64" href="#L64">64</a>  
-<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>  <em class="jxr_javadoccomment">     * Creates the default probability density test expected values.</em>
-<a class="jxr_linenumber" name="L67" href="#L67">67</a>  <em class="jxr_javadoccomment">     *  Reference values are from R, version 2.15.3 (VGAM package 0.9-0).</em>
-<a class="jxr_linenumber" name="L68" href="#L68">68</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L20" href="#L20">20</a>  <strong class="jxr_keyword">import</strong> <strong class="jxr_keyword">static</strong> org.junit.Assert.assertEquals;
+<a class="jxr_linenumber" name="L21" href="#L21">21</a>  <strong class="jxr_keyword">import</strong> <strong class="jxr_keyword">static</strong> org.junit.Assert.assertTrue;
+<a class="jxr_linenumber" name="L22" href="#L22">22</a>  
+<a class="jxr_linenumber" name="L23" href="#L23">23</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.TestUtils;
+<a class="jxr_linenumber" name="L24" href="#L24">24</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.UnivariateFunction;
+<a class="jxr_linenumber" name="L25" href="#L25">25</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.integration.SimpsonIntegrator;
+<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionSampler;
+<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.NotStrictlyPositiveException;
+<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.AbstractRandomGenerator;
+<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.RandomGenerator;
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.Well1024a;
+<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.util.FastMath;
+<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <strong class="jxr_keyword">import</strong> org.junit.Assert;
+<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <strong class="jxr_keyword">import</strong> org.junit.Ignore;
+<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <strong class="jxr_keyword">import</strong> org.junit.Test;
+<a class="jxr_linenumber" name="L35" href="#L35">35</a>  
+<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>  <em class="jxr_javadoccomment"> * Test cases for {@link ZipfDistribution}.</em>
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> * Extends IntegerDistributionAbstractTest.</em>
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> * See class javadoc for IntegerDistributionAbstractTest for details.</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>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../org/apache/commons/math3/distribution/ZipfDistributionTest.html">ZipfDistributionTest</a> <strong class="jxr_keyword">extends</strong> <a href="../../../../../org/apache/commons/math3/distribution/IntegerDistributionAbstractTest.html">IntegerDistributionAbstractTest</a> {
+<a class="jxr_linenumber" name="L42" href="#L42">42</a>  
+<a class="jxr_linenumber" name="L43" href="#L43">43</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment">     * Constructor to override default tolerance.</em>
+<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L46" href="#L46">46</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../org/apache/commons/math3/distribution/ZipfDistributionTest.html">ZipfDistributionTest</a>() {
+<a class="jxr_linenumber" name="L47" href="#L47">47</a>          setTolerance(1e-12);
+<a class="jxr_linenumber" name="L48" href="#L48">48</a>      }
+<a class="jxr_linenumber" name="L49" href="#L49">49</a>  
+<a class="jxr_linenumber" name="L50" href="#L50">50</a>      @Test(expected=NotStrictlyPositiveException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="L51" href="#L51">51</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testPreconditions1() {
+<a class="jxr_linenumber" name="L52" href="#L52">52</a>          <strong class="jxr_keyword">new</strong> ZipfDistribution(0, 1);
+<a class="jxr_linenumber" name="L53" href="#L53">53</a>      }
+<a class="jxr_linenumber" name="L54" href="#L54">54</a>  
+<a class="jxr_linenumber" name="L55" href="#L55">55</a>      @Test(expected=NotStrictlyPositiveException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="L56" href="#L56">56</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testPreconditions2() {
+<a class="jxr_linenumber" name="L57" href="#L57">57</a>          <strong class="jxr_keyword">new</strong> ZipfDistribution(1, 0);
+<a class="jxr_linenumber" name="L58" href="#L58">58</a>      }
+<a class="jxr_linenumber" name="L59" href="#L59">59</a>  
+<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <em class="jxr_comment">//-------------- Implementations for abstract methods -----------------------</em>
+<a class="jxr_linenumber" name="L61" href="#L61">61</a>  
+<a class="jxr_linenumber" name="L62" href="#L62">62</a>      <em class="jxr_javadoccomment">/** Creates the default discrete distribution instance to use in tests. */</em>
+<a class="jxr_linenumber" name="L63" href="#L63">63</a>      @Override
+<a class="jxr_linenumber" name="L64" href="#L64">64</a>      <strong class="jxr_keyword">public</strong> IntegerDistribution makeDistribution() {
+<a class="jxr_linenumber" name="L65" href="#L65">65</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> ZipfDistribution(10, 1);
+<a class="jxr_linenumber" name="L66" href="#L66">66</a>      }
+<a class="jxr_linenumber" name="L67" href="#L67">67</a>  
+<a class="jxr_linenumber" name="L68" href="#L68">68</a>      <em class="jxr_javadoccomment">/** Creates the default probability density test input values */</em>
 <a class="jxr_linenumber" name="L69" href="#L69">69</a>      @Override
-<a class="jxr_linenumber" name="L70" href="#L70">70</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeDensityTestValues() {
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {0d, 0d, 0.341417152147, 0.170708576074, 0.113805717382, 0.0853542880369, 0.0682834304295,
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>              0.0569028586912, 0.0487738788782, 0.0426771440184, 0.0379352391275, 0.0341417152147, 0};
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>      }
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>  
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>      <em class="jxr_javadoccomment">/** </em>
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>  <em class="jxr_javadoccomment">     * Creates the default logarithmic probability density test expected values.</em>
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>  <em class="jxr_javadoccomment">     * Reference values are from R, version 2.14.1.</em>
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>  <em class="jxr_javadoccomment">     */</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> <strong class="jxr_keyword">double</strong>[] makeLogDensityTestValues() {
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {Double.NEGATIVE_INFINITY, Double.NEGATIVE_INFINITY,
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>              -1.07465022926458, -1.76779740982453, -2.17326251793269, -2.46094459038447,
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>              -2.68408814169868, -2.86640969849264, -3.0205603783199, -3.15409177094442,
-<a class="jxr_linenumber" name="L84" href="#L84">84</a>              -3.2718748066008, -3.37723532225863, Double.NEGATIVE_INFINITY};
-<a class="jxr_linenumber" name="L85" href="#L85">85</a>      }
-<a class="jxr_linenumber" name="L86" href="#L86">86</a>  
-<a class="jxr_linenumber" name="L87" href="#L87">87</a>      <em class="jxr_javadoccomment">/** Creates the default cumulative probability density test input values */</em>
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong>[] makeDensityTestPoints() {
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">int</strong>[] {-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
+<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">/**</em>
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>  <em class="jxr_javadoccomment">     * Creates the default probability density test expected values.</em>
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>  <em class="jxr_javadoccomment">     *  Reference values are from R, version 2.15.3 (VGAM package 0.9-0).</em>
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>      @Override
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeDensityTestValues() {
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {0d, 0d, 0.341417152147, 0.170708576074, 0.113805717382, 0.0853542880369, 0.0682834304295,
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>              0.0569028586912, 0.0487738788782, 0.0426771440184, 0.0379352391275, 0.0341417152147, 0};
+<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">     * Creates the default logarithmic probability density test expected values.</em>
+<a class="jxr_linenumber" name="L86" href="#L86">86</a>  <em class="jxr_javadoccomment">     * Reference values are from R, version 2.14.1.</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>      @Override
-<a class="jxr_linenumber" name="L89" href="#L89">89</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong>[] makeCumulativeTestPoints() {
-<a class="jxr_linenumber" name="L90" href="#L90">90</a>          <strong class="jxr_keyword">return</strong> makeDensityTestPoints();
-<a class="jxr_linenumber" name="L91" href="#L91">91</a>      }
-<a class="jxr_linenumber" name="L92" href="#L92">92</a>  
-<a class="jxr_linenumber" name="L93" href="#L93">93</a>      <em class="jxr_javadoccomment">/** Creates the default cumulative probability density test expected values */</em>
-<a class="jxr_linenumber" name="L94" href="#L94">94</a>      @Override
-<a class="jxr_linenumber" name="L95" href="#L95">95</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeCumulativeTestValues() {
-<a class="jxr_linenumber" name="L96" href="#L96">96</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {0, 0, 0.341417152147, 0.512125728221, 0.625931445604, 0.71128573364,
-<a class="jxr_linenumber" name="L97" href="#L97">97</a>              0.77956916407, 0.836472022761, 0.885245901639, 0.927923045658, 0.965858284785, 1d, 1d};
-<a class="jxr_linenumber" name="L98" href="#L98">98</a>          }
-<a class="jxr_linenumber" name="L99" href="#L99">99</a>  
-<a class="jxr_linenumber" name="L100" href="#L100">100</a>     <em class="jxr_javadoccomment">/** Creates the default inverse cumulative probability test input values */</em>
-<a class="jxr_linenumber" name="L101" href="#L101">101</a>     @Override
-<a class="jxr_linenumber" name="L102" href="#L102">102</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeInverseCumulativeTestPoints() {
-<a class="jxr_linenumber" name="L103" href="#L103">103</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {0d, 0.001d, 0.010d, 0.025d, 0.050d, 0.3413d, 0.3415d, 0.999d,
-<a class="jxr_linenumber" name="L104" href="#L104">104</a>                 0.990d, 0.975d, 0.950d, 0.900d, 1d};
-<a class="jxr_linenumber" name="L105" href="#L105">105</a>         }
-<a class="jxr_linenumber" name="L106" href="#L106">106</a> 
-<a class="jxr_linenumber" name="L107" href="#L107">107</a>     <em class="jxr_javadoccomment">/** Creates the default inverse cumulative probability density test expected values */</em>
-<a class="jxr_linenumber" name="L108" href="#L108">108</a>     @Override
-<a class="jxr_linenumber" name="L109" href="#L109">109</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong>[] makeInverseCumulativeTestValues() {
-<a class="jxr_linenumber" name="L110" href="#L110">110</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">int</strong>[] {1, 1, 1, 1, 1, 1, 2, 10, 10, 10, 9, 8, 10};
-<a class="jxr_linenumber" name="L111" href="#L111">111</a>     }
-<a class="jxr_linenumber" name="L112" href="#L112">112</a> 
-<a class="jxr_linenumber" name="L113" href="#L113">113</a>     @Test
-<a class="jxr_linenumber" name="L114" href="#L114">114</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testMoments() {
-<a class="jxr_linenumber" name="L115" href="#L115">115</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-9;
-<a class="jxr_linenumber" name="L116" href="#L116">116</a>         ZipfDistribution dist;
-<a class="jxr_linenumber" name="L117" href="#L117">117</a> 
-<a class="jxr_linenumber" name="L118" href="#L118">118</a>         dist = <strong class="jxr_keyword">new</strong> ZipfDistribution(2, 0.5);
-<a class="jxr_linenumber" name="L119" href="#L119">119</a>         Assert.assertEquals(dist.getNumericalMean(), FastMath.sqrt(2), tol);
-<a class="jxr_linenumber" name="L120" href="#L120">120</a>         Assert.assertEquals(dist.getNumericalVariance(), 0.24264068711928521, tol);
-<a class="jxr_linenumber" name="L121" href="#L121">121</a>     }
-<a class="jxr_linenumber" name="L122" href="#L122">122</a> }
+<a class="jxr_linenumber" name="L89" href="#L89">89</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeLogDensityTestValues() {
+<a class="jxr_linenumber" name="L90" href="#L90">90</a>          <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {Double.NEGATIVE_INFINITY, Double.NEGATIVE_INFINITY,
+<a class="jxr_linenumber" name="L91" href="#L91">91</a>              -1.07465022926458, -1.76779740982453, -2.17326251793269, -2.46094459038447,
+<a class="jxr_linenumber" name="L92" href="#L92">92</a>              -2.68408814169868, -2.86640969849264, -3.0205603783199, -3.15409177094442,
+<a class="jxr_linenumber" name="L93" href="#L93">93</a>              -3.2718748066008, -3.37723532225863, Double.NEGATIVE_INFINITY};
+<a class="jxr_linenumber" name="L94" href="#L94">94</a>      }
+<a class="jxr_linenumber" name="L95" href="#L95">95</a>  
+<a class="jxr_linenumber" name="L96" href="#L96">96</a>      <em class="jxr_javadoccomment">/** Creates the default cumulative probability density test input values */</em>
+<a class="jxr_linenumber" name="L97" href="#L97">97</a>      @Override
+<a class="jxr_linenumber" name="L98" href="#L98">98</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong>[] makeCumulativeTestPoints() {
+<a class="jxr_linenumber" name="L99" href="#L99">99</a>          <strong class="jxr_keyword">return</strong> makeDensityTestPoints();
+<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>     <em class="jxr_javadoccomment">/** Creates the default cumulative probability density test expected values */</em>
+<a class="jxr_linenumber" name="L103" href="#L103">103</a>     @Override
+<a class="jxr_linenumber" name="L104" href="#L104">104</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeCumulativeTestValues() {
+<a class="jxr_linenumber" name="L105" href="#L105">105</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {0, 0, 0.341417152147, 0.512125728221, 0.625931445604, 0.71128573364,
+<a class="jxr_linenumber" name="L106" href="#L106">106</a>             0.77956916407, 0.836472022761, 0.885245901639, 0.927923045658, 0.965858284785, 1d, 1d};
+<a class="jxr_linenumber" name="L107" href="#L107">107</a>         }
+<a class="jxr_linenumber" name="L108" href="#L108">108</a> 
+<a class="jxr_linenumber" name="L109" href="#L109">109</a>     <em class="jxr_javadoccomment">/** Creates the default inverse cumulative probability test input values */</em>
+<a class="jxr_linenumber" name="L110" href="#L110">110</a>     @Override
+<a class="jxr_linenumber" name="L111" href="#L111">111</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeInverseCumulativeTestPoints() {
+<a class="jxr_linenumber" name="L112" href="#L112">112</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {0d, 0.001d, 0.010d, 0.025d, 0.050d, 0.3413d, 0.3415d, 0.999d,
+<a class="jxr_linenumber" name="L113" href="#L113">113</a>                 0.990d, 0.975d, 0.950d, 0.900d, 1d};
+<a class="jxr_linenumber" name="L114" href="#L114">114</a>         }
+<a class="jxr_linenumber" name="L115" href="#L115">115</a> 
+<a class="jxr_linenumber" name="L116" href="#L116">116</a>     <em class="jxr_javadoccomment">/** Creates the default inverse cumulative probability density test expected values */</em>
+<a class="jxr_linenumber" name="L117" href="#L117">117</a>     @Override
+<a class="jxr_linenumber" name="L118" href="#L118">118</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong>[] makeInverseCumulativeTestValues() {
+<a class="jxr_linenumber" name="L119" href="#L119">119</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">int</strong>[] {1, 1, 1, 1, 1, 1, 2, 10, 10, 10, 9, 8, 10};
+<a class="jxr_linenumber" name="L120" href="#L120">120</a>     }
+<a class="jxr_linenumber" name="L121" href="#L121">121</a> 
+<a class="jxr_linenumber" name="L122" href="#L122">122</a>     @Test
+<a class="jxr_linenumber" name="L123" href="#L123">123</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testMoments() {
+<a class="jxr_linenumber" name="L124" href="#L124">124</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-9;
+<a class="jxr_linenumber" name="L125" href="#L125">125</a>         ZipfDistribution dist;
+<a class="jxr_linenumber" name="L126" href="#L126">126</a> 
+<a class="jxr_linenumber" name="L127" href="#L127">127</a>         dist = <strong class="jxr_keyword">new</strong> ZipfDistribution(2, 0.5);
+<a class="jxr_linenumber" name="L128" href="#L128">128</a>         Assert.assertEquals(dist.getNumericalMean(), FastMath.sqrt(2), tol);
+<a class="jxr_linenumber" name="L129" href="#L129">129</a>         Assert.assertEquals(dist.getNumericalVariance(), 0.24264068711928521, tol);
+<a class="jxr_linenumber" name="L130" href="#L130">130</a>     }
+<a class="jxr_linenumber" name="L131" href="#L131">131</a> 
+<a class="jxr_linenumber" name="L132" href="#L132">132</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L133" href="#L133">133</a> <em class="jxr_javadoccomment">     * Test sampling for various number of points and exponents.</em>
+<a class="jxr_linenumber" name="L134" href="#L134">134</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L135" href="#L135">135</a>     @Test
+<a class="jxr_linenumber" name="L136" href="#L136">136</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplingExtended() {
+<a class="jxr_linenumber" name="L137" href="#L137">137</a>         <strong class="jxr_keyword">int</strong> sampleSize = 1000;
+<a class="jxr_linenumber" name="L138" href="#L138">138</a> 
+<a class="jxr_linenumber" name="L139" href="#L139">139</a>         <strong class="jxr_keyword">int</strong>[] numPointsValues = {
+<a class="jxr_linenumber" name="L140" href="#L140">140</a>             2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100
+<a class="jxr_linenumber" name="L141" href="#L141">141</a>         };
+<a class="jxr_linenumber" name="L142" href="#L142">142</a>         <strong class="jxr_keyword">double</strong>[] exponentValues = {
+<a class="jxr_linenumber" name="L143" href="#L143">143</a>             1e-10, 1e-9, 1e-8, 1e-7, 1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1,
+<a class="jxr_linenumber" name="L144" href="#L144">144</a>             1. - 1e-9, 1.0, 1. + 1e-9, 1.1, 1.2, 1.3, 1.5, 1.6, 1.7, 1.8, 2.0,
+<a class="jxr_linenumber" name="L145" href="#L145">145</a>             2.5, 3.0, 4., 5., 6., 7., 8., 9., 10., 20., 30.
+<a class="jxr_linenumber" name="L146" href="#L146">146</a>         };
+<a class="jxr_linenumber" name="L147" href="#L147">147</a> 
+<a class="jxr_linenumber" name="L148" href="#L148">148</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> numPoints : numPointsValues) {
+<a class="jxr_linenumber" name="L149" href="#L149">149</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">double</strong> exponent : exponentValues) {
+<a class="jxr_linenumber" name="L150" href="#L150">150</a>                 <strong class="jxr_keyword">double</strong> weightSum = 0.;
+<a class="jxr_linenumber" name="L151" href="#L151">151</a>                 <strong class="jxr_keyword">double</strong>[] weights = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[numPoints];
+<a class="jxr_linenumber" name="L152" href="#L152">152</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = numPoints; i&gt;=1; i-=1) {
+<a class="jxr_linenumber" name="L153" href="#L153">153</a>                     weights[i-1] = Math.pow(i, -exponent);
+<a class="jxr_linenumber" name="L154" href="#L154">154</a>                     weightSum += weights[i-1];
+<a class="jxr_linenumber" name="L155" href="#L155">155</a>                 }
+<a class="jxr_linenumber" name="L156" href="#L156">156</a> 
+<a class="jxr_linenumber" name="L157" href="#L157">157</a>                 ZipfDistribution distribution = <strong class="jxr_keyword">new</strong> ZipfDistribution(numPoints, exponent);
+<a class="jxr_linenumber" name="L158" href="#L158">158</a>                 distribution.reseedRandomGenerator(6); <em class="jxr_comment">// use fixed seed, the test is expected to fail for more than 50% of all seeds because each test case can fail with probability 0.001, the chance that all test cases do not fail is 0.999^(32*22) = 0.49442874426</em>
+<a class="jxr_linenumber" name="L159" href="#L159">159</a> 
+<a class="jxr_linenumber" name="L160" href="#L160">160</a>                 <strong class="jxr_keyword">double</strong>[] expectedCounts = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[numPoints];
+<a class="jxr_linenumber" name="L161" href="#L161">161</a>                 <strong class="jxr_keyword">long</strong>[] observedCounts = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">long</strong>[numPoints];
+<a class="jxr_linenumber" name="L162" href="#L162">162</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; numPoints; i++) {
+<a class="jxr_linenumber" name="L163" href="#L163">163</a>                     expectedCounts[i] = sampleSize * (weights[i]/weightSum);
+<a class="jxr_linenumber" name="L164" href="#L164">164</a>                 }
+<a class="jxr_linenumber" name="L165" href="#L165">165</a>                 <strong class="jxr_keyword">int</strong>[] sample = distribution.sample(sampleSize);
+<a class="jxr_linenumber" name="L166" href="#L166">166</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> s : sample) {
+<a class="jxr_linenumber" name="L167" href="#L167">167</a>                     observedCounts[s-1]++;
+<a class="jxr_linenumber" name="L168" href="#L168">168</a>                 }
+<a class="jxr_linenumber" name="L169" href="#L169">169</a>                 TestUtils.assertChiSquareAccept(expectedCounts, observedCounts, 0.001);
+<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> 
+<a class="jxr_linenumber" name="L174" href="#L174">174</a>     @Test
+<a class="jxr_linenumber" name="L175" href="#L175">175</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplerIntegratePowerFunction() {
+<a class="jxr_linenumber" name="L176" href="#L176">176</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-6;
+<a class="jxr_linenumber" name="L177" href="#L177">177</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] exponents = {
+<a class="jxr_linenumber" name="L178" href="#L178">178</a>             -1e-5, -1e-4, -1e-3, -1e-2, -1e-1, -1e0, -1e1
+<a class="jxr_linenumber" name="L179" href="#L179">179</a>         };
+<a class="jxr_linenumber" name="L180" href="#L180">180</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] limits = {
+<a class="jxr_linenumber" name="L181" href="#L181">181</a>             0.5, 1., 1.5, 2., 2.5, 3., 3.5, 4., 4.5, 5., 5.5, 6.0, 6.5, 7.0,
+<a class="jxr_linenumber" name="L182" href="#L182">182</a>             7.5, 8.0, 8.5, 9.0, 9.5, 10.0
+<a class="jxr_linenumber" name="L183" href="#L183">183</a>         };
+<a class="jxr_linenumber" name="L184" href="#L184">184</a> 
+<a class="jxr_linenumber" name="L185" href="#L185">185</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> exponent : exponents) {
+<a class="jxr_linenumber" name="L186" href="#L186">186</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> lowerLimitIndex = 0; lowerLimitIndex &lt; limits.length; ++lowerLimitIndex) {
+<a class="jxr_linenumber" name="L187" href="#L187">187</a>                 <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lowerLimit = limits[lowerLimitIndex];
+<a class="jxr_linenumber" name="L188" href="#L188">188</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> upperLimitIndex = lowerLimitIndex+1; upperLimitIndex &lt; limits.length; ++upperLimitIndex) {
+<a class="jxr_linenumber" name="L189" href="#L189">189</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> upperLimit = limits[upperLimitIndex];
+<a class="jxr_linenumber" name="L190" href="#L190">190</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> result1 = <strong class="jxr_keyword">new</strong> SimpsonIntegrator().integrate(10000, <strong class="jxr_keyword">new</strong> UnivariateFunction() {
+<a class="jxr_linenumber" name="L191" href="#L191">191</a>                         <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> value(<strong class="jxr_keyword">double</strong> x) {
+<a class="jxr_linenumber" name="L192" href="#L192">192</a>                             <strong class="jxr_keyword">return</strong> Math.pow(x, exponent);
+<a class="jxr_linenumber" name="L193" href="#L193">193</a>                         }
+<a class="jxr_linenumber" name="L194" href="#L194">194</a>                     }, lowerLimit, upperLimit);
+<a class="jxr_linenumber" name="L195" href="#L195">195</a> 
+<a class="jxr_linenumber" name="L196" href="#L196">196</a>                     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> result2 = ZipfRejectionSampler.integratePowerFunction(exponent, lowerLimit, upperLimit);
+<a class="jxr_linenumber" name="L197" href="#L197">197</a> 
+<a class="jxr_linenumber" name="L198" href="#L198">198</a>                     assertEquals(result1, result2, (result1+result2)*tol);
+<a class="jxr_linenumber" name="L199" href="#L199">199</a> 
+<a class="jxr_linenumber" name="L200" href="#L200">200</a>                 }
+<a class="jxr_linenumber" name="L201" href="#L201">201</a>             }
+<a class="jxr_linenumber" name="L202" href="#L202">202</a>         }
+<a class="jxr_linenumber" name="L203" href="#L203">203</a>     }
+<a class="jxr_linenumber" name="L204" href="#L204">204</a> 
+<a class="jxr_linenumber" name="L205" href="#L205">205</a>     @Test
+<a class="jxr_linenumber" name="L206" href="#L206">206</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplerAcceptanceRate() {
+<a class="jxr_linenumber" name="L207" href="#L207">207</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-12;
+<a class="jxr_linenumber" name="L208" href="#L208">208</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] exponents = {
+<a class="jxr_linenumber" name="L209" href="#L209">209</a>             1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1e0, 2e0, 5e0, 1e1, 1e2, 1e3
+<a class="jxr_linenumber" name="L210" href="#L210">210</a>         };
+<a class="jxr_linenumber" name="L211" href="#L211">211</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong>[] values = {
+<a class="jxr_linenumber" name="L212" href="#L212">212</a>             1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
+<a class="jxr_linenumber" name="L213" href="#L213">213</a>         };
+<a class="jxr_linenumber" name="L214" href="#L214">214</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> numberOfElements = 1000;
+<a class="jxr_linenumber" name="L215" href="#L215">215</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> exponent : exponents) {
+<a class="jxr_linenumber" name="L216" href="#L216">216</a>             ZipfRejectionSampler sampler = <strong class="jxr_keyword">new</strong> ZipfRejectionSampler(numberOfElements, exponent);
+<a class="jxr_linenumber" name="L217" href="#L217">217</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> value : values) {
+<a class="jxr_linenumber" name="L218" href="#L218">218</a>                 <strong class="jxr_keyword">double</strong> expected = FastMath.pow(value, -exponent);
+<a class="jxr_linenumber" name="L219" href="#L219">219</a>                 <strong class="jxr_keyword">double</strong> result = sampler.acceptanceRateForTailSample(value) *
+<a class="jxr_linenumber" name="L220" href="#L220">220</a>                                 ZipfRejectionSampler.integratePowerFunction(-exponent, value - 0.5, value + 0.5);
+<a class="jxr_linenumber" name="L221" href="#L221">221</a>                 TestUtils.assertRelativelyEquals(expected, result, tol);
+<a class="jxr_linenumber" name="L222" href="#L222">222</a>                 assertTrue(result &lt;=1.); <em class="jxr_comment">// test Jensen's inequality</em>
+<a class="jxr_linenumber" name="L223" href="#L223">223</a>             }
+<a class="jxr_linenumber" name="L224" href="#L224">224</a>         }
+<a class="jxr_linenumber" name="L225" href="#L225">225</a>     }
+<a class="jxr_linenumber" name="L226" href="#L226">226</a> 
+<a class="jxr_linenumber" name="L227" href="#L227">227</a>     @Test
+<a class="jxr_linenumber" name="L228" href="#L228">228</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplerInverseInstrumentalDistribution() {
+<a class="jxr_linenumber" name="L229" href="#L229">229</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-14;
+<a class="jxr_linenumber" name="L230" href="#L230">230</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] exponentValues = {
+<a class="jxr_linenumber" name="L231" href="#L231">231</a>             1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1e0, 2E0, 3e0, 4e0, 5e0, 6., 7., 8., 9., 10., 50.
+<a class="jxr_linenumber" name="L232" href="#L232">232</a>         };
+<a class="jxr_linenumber" name="L233" href="#L233">233</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] qValues = {
+<a class="jxr_linenumber" name="L234" href="#L234">234</a>             0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0
+<a class="jxr_linenumber" name="L235" href="#L235">235</a>         };
+<a class="jxr_linenumber" name="L236" href="#L236">236</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong>[] numberOfElementsValues = {
+<a class="jxr_linenumber" name="L237" href="#L237">237</a>             2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 40, 100
+<a class="jxr_linenumber" name="L238" href="#L238">238</a>         };
+<a class="jxr_linenumber" name="L239" href="#L239">239</a> 
+<a class="jxr_linenumber" name="L240" href="#L240">240</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> exponent : exponentValues) {
+<a class="jxr_linenumber" name="L241" href="#L241">241</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> numberOfElements : numberOfElementsValues) {
+<a class="jxr_linenumber" name="L242" href="#L242">242</a>                 <strong class="jxr_keyword">final</strong> ZipfRejectionSampler sampler = <strong class="jxr_keyword">new</strong> ZipfRejectionSampler(numberOfElements, exponent);
+<a class="jxr_linenumber" name="L243" href="#L243">243</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> q : qValues) {
+<a class="jxr_linenumber" name="L244" href="#L244">244</a>                     <strong class="jxr_keyword">int</strong> result = sampler.sampleFromInstrumentalDistributionTail(q);
+<a class="jxr_linenumber" name="L245" href="#L245">245</a>                     <strong class="jxr_keyword">double</strong> total =
+<a class="jxr_linenumber" name="L246" href="#L246">246</a>                             ZipfRejectionSampler.integratePowerFunction(-exponent, 1.5, numberOfElements + 0.5);
+<a class="jxr_linenumber" name="L247" href="#L247">247</a>                     <strong class="jxr_keyword">double</strong> lowerBound =
+<a class="jxr_linenumber" name="L248" href="#L248">248</a>                             ZipfRejectionSampler.integratePowerFunction(-exponent, 1.5, result - 0.5) / total;
+<a class="jxr_linenumber" name="L249" href="#L249">249</a>                     <strong class="jxr_keyword">double</strong> upperBound =
+<a class="jxr_linenumber" name="L250" href="#L250">250</a>                             ZipfRejectionSampler.integratePowerFunction(-exponent, 1.5, result + 0.5) / total;
+<a class="jxr_linenumber" name="L251" href="#L251">251</a>                     assertTrue(lowerBound &lt;= q*(1.+tol));
+<a class="jxr_linenumber" name="L252" href="#L252">252</a>                     assertTrue(upperBound &gt;= q*(1.-tol));
+<a class="jxr_linenumber" name="L253" href="#L253">253</a>                 }
+<a class="jxr_linenumber" name="L254" href="#L254">254</a>             }
+<a class="jxr_linenumber" name="L255" href="#L255">255</a>         }
+<a class="jxr_linenumber" name="L256" href="#L256">256</a>     }
+<a class="jxr_linenumber" name="L257" href="#L257">257</a> 
+<a class="jxr_linenumber" name="L258" href="#L258">258</a>     @Test
+<a class="jxr_linenumber" name="L259" href="#L259">259</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplerHelper1() {
+<a class="jxr_linenumber" name="L260" href="#L260">260</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-14;
+<a class="jxr_linenumber" name="L261" href="#L261">261</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] qValues = {
+<a class="jxr_linenumber" name="L262" href="#L262">262</a>             0., 1e-12, 1e-11, 1e-10, 1e-9, 9e-9, 1e-8, 1e-7, 1e-6, 1e-5, 1e-4,
+<a class="jxr_linenumber" name="L263" href="#L263">263</a>             1e-3, 1e-2, 1e-1, 1e0
+<a class="jxr_linenumber" name="L264" href="#L264">264</a>         };
+<a class="jxr_linenumber" name="L265" href="#L265">265</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] xValues = {
+<a class="jxr_linenumber" name="L266" href="#L266">266</a>             -Double.MAX_VALUE, -1e10, -1e9, -1e8, -1e7, -1e6, -1e5, -1e4, -1e3,
+<a class="jxr_linenumber" name="L267" href="#L267">267</a>             -1e2, -1e1, -1e0, -1e-1, -1e-2, -1e-3, -1e-4, -1e-5, -1e-6, -1e-7,
+<a class="jxr_linenumber" name="L268" href="#L268">268</a>             -1e-8, -1e-9, -1e-10, -Double.MIN_VALUE, 0.0, Double.MIN_VALUE,
+<a class="jxr_linenumber" name="L269" href="#L269">269</a>             1e-10, 1e-9, 1e-8, 1e-7, 1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1e0,
+<a class="jxr_linenumber" name="L270" href="#L270">270</a>             1e1, 1e2, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9, 1e10, Double.MAX_VALUE
+<a class="jxr_linenumber" name="L271" href="#L271">271</a>         };
+<a class="jxr_linenumber" name="L272" href="#L272">272</a> 
+<a class="jxr_linenumber" name="L273" href="#L273">273</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> q : qValues) {
+<a class="jxr_linenumber" name="L274" href="#L274">274</a>             <strong class="jxr_keyword">for</strong>(<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x : xValues) {
+<a class="jxr_linenumber" name="L275" href="#L275">275</a>                 <strong class="jxr_keyword">double</strong> calculated = ZipfRejectionSampler.helper1(q, x);
+<a class="jxr_linenumber" name="L276" href="#L276">276</a>                 TestUtils.assertRelativelyEquals((1.-q)+q*Math.exp(x), FastMath.exp(calculated*x), tol);
+<a class="jxr_linenumber" name="L277" href="#L277">277</a>             }
+<a class="jxr_linenumber" name="L278" href="#L278">278</a>         }
+<a class="jxr_linenumber" name="L279" href="#L279">279</a>     }
+<a class="jxr_linenumber" name="L280" href="#L280">280</a> 
+<a class="jxr_linenumber" name="L281" href="#L281">281</a>     @Test
+<a class="jxr_linenumber" name="L282" href="#L282">282</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplerHelper2() {
+<a class="jxr_linenumber" name="L283" href="#L283">283</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1e-12;
+<a class="jxr_linenumber" name="L284" href="#L284">284</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] testValues = {
+<a class="jxr_linenumber" name="L285" href="#L285">285</a>             -1e0, -1e-1, -1e-2, -1e-3, -1e-4, -1e-5, -1e-6, -1e-7, -1e-8,
+<a class="jxr_linenumber" name="L286" href="#L286">286</a>             -1e-9, -1e-10, -1e-11, 0., 1e-11, 1e-10, 1e-9, 1e-8, 1e-7, 1e-6,
+<a class="jxr_linenumber" name="L287" href="#L287">287</a>             1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1e0
+<a class="jxr_linenumber" name="L288" href="#L288">288</a>         };
+<a class="jxr_linenumber" name="L289" href="#L289">289</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">double</strong> testValue : testValues) {
+<a class="jxr_linenumber" name="L290" href="#L290">290</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> expected = FastMath.expm1(testValue);
+<a class="jxr_linenumber" name="L291" href="#L291">291</a>             TestUtils.assertRelativelyEquals(expected, ZipfRejectionSampler.helper2(testValue)*testValue, tol);
+<a class="jxr_linenumber" name="L292" href="#L292">292</a>         }
+<a class="jxr_linenumber" name="L293" href="#L293">293</a>     }
+<a class="jxr_linenumber" name="L294" href="#L294">294</a> 
+<a class="jxr_linenumber" name="L295" href="#L295">295</a>     @Ignore
+<a class="jxr_linenumber" name="L296" href="#L296">296</a>     @Test
+<a class="jxr_linenumber" name="L297" href="#L297">297</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSamplerPerformance() {
+<a class="jxr_linenumber" name="L298" href="#L298">298</a>         <strong class="jxr_keyword">int</strong>[] numPointsValues = {1, 2, 5, 10, 100, 1000, 10000};
+<a class="jxr_linenumber" name="L299" href="#L299">299</a>         <strong class="jxr_keyword">double</strong>[] exponentValues = {1e-3, 1e-2, 1e-1, 1., 2., 5., 10.};
+<a class="jxr_linenumber" name="L300" href="#L300">300</a>         <strong class="jxr_keyword">int</strong>  numGeneratedSamples = 1000000;
+<a class="jxr_linenumber" name="L301" href="#L301">301</a> 
+<a class="jxr_linenumber" name="L302" href="#L302">302</a>         <strong class="jxr_keyword">long</strong> sum = 0;
+<a class="jxr_linenumber" name="L303" href="#L303">303</a> 
+<a class="jxr_linenumber" name="L304" href="#L304">304</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> numPoints : numPointsValues) {
+<a class="jxr_linenumber" name="L305" href="#L305">305</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">double</strong> exponent : exponentValues) {
+<a class="jxr_linenumber" name="L306" href="#L306">306</a>                 <strong class="jxr_keyword">long</strong> start = System.currentTimeMillis();
+<a class="jxr_linenumber" name="L307" href="#L307">307</a>                 <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong>[] randomNumberCounter = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">int</strong>[1];
+<a class="jxr_linenumber" name="L308" href="#L308">308</a> 
+<a class="jxr_linenumber" name="L309" href="#L309">309</a>                 RandomGenerator randomGenerator  = <strong class="jxr_keyword">new</strong> AbstractRandomGenerator() {
+<a class="jxr_linenumber" name="L310" href="#L310">310</a> 
+<a class="jxr_linenumber" name="L311" href="#L311">311</a>                     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> RandomGenerator r = <strong class="jxr_keyword">new</strong> Well1024a(0L);
+<a class="jxr_linenumber" name="L312" href="#L312">312</a> 
+<a class="jxr_linenumber" name="L313" href="#L313">313</a>                     @Override
+<a class="jxr_linenumber" name="L314" href="#L314">314</a>                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> setSeed(<strong class="jxr_keyword">long</strong> seed) {
+<a class="jxr_linenumber" name="L315" href="#L315">315</a>                     }
+<a class="jxr_linenumber" name="L316" href="#L316">316</a> 
+<a class="jxr_linenumber" name="L317" href="#L317">317</a>                     @Override
+<a class="jxr_linenumber" name="L318" href="#L318">318</a>                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> nextDouble() {
+<a class="jxr_linenumber" name="L319" href="#L319">319</a>                         randomNumberCounter[0]+=1;
+<a class="jxr_linenumber" name="L320" href="#L320">320</a>                         <strong class="jxr_keyword">return</strong> r.nextDouble();
+<a class="jxr_linenumber" name="L321" href="#L321">321</a>                     }
+<a class="jxr_linenumber" name="L322" href="#L322">322</a>                 };
+<a class="jxr_linenumber" name="L323" href="#L323">323</a> 
+<a class="jxr_linenumber" name="L324" href="#L324">324</a>                 <strong class="jxr_keyword">final</strong> ZipfDistribution distribution = <strong class="jxr_keyword">new</strong> ZipfDistribution(randomGenerator, numPoints, exponent);
+<a class="jxr_linenumber" name="L325" href="#L325">325</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; numGeneratedSamples; ++i) {
+<a class="jxr_linenumber" name="L326" href="#L326">326</a>                     sum += distribution.sample();
+<a class="jxr_linenumber" name="L327" href="#L327">327</a>                 }
+<a class="jxr_linenumber" name="L328" href="#L328">328</a> 
+<a class="jxr_linenumber" name="L329" href="#L329">329</a>                 <strong class="jxr_keyword">long</strong> end = System.currentTimeMillis();
+<a class="jxr_linenumber" name="L330" href="#L330">330</a>                 System.out.println(<span class="jxr_string">"n = "</span> + numPoints + <span class="jxr_string">", exponent = "</span> + exponent + <span class="jxr_string">", avg number consumed random values = "</span> + (<strong class="jxr_keyword">double</strong>)(randomNumberCounter[0])/numGeneratedSamples + <span class="jxr_string">", measured time = "</span> + (end-start)/1000. + <span class="jxr_string">"s"</span>);
+<a class="jxr_linenumber" name="L331" href="#L331">331</a>             }
+<a class="jxr_linenumber" name="L332" href="#L332">332</a>         }
+<a class="jxr_linenumber" name="L333" href="#L333">333</a>         System.out.println(sum);
+<a class="jxr_linenumber" name="L334" href="#L334">334</a>     }
+<a class="jxr_linenumber" name="L335" href="#L335">335</a> 
+<a class="jxr_linenumber" name="L336" href="#L336">336</a> }
 </pre>
 <hr/>
 <div id="footer">Copyright &#169; 2003&#x2013;2015 <a href="http://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</div>

Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/fitting/package-frame.html
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--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/fitting/package-frame.html (original)
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@@ -3,7 +3,7 @@
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-		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.distribution.fitting</title>
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Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/fitting/package-summary.html
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+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/fitting/package-summary.html Sun May 17 17:05:50 2015
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+		<title>Apache Commons Math 3.6-SNAPSHOT Reference Package org.apache.commons.math3.distribution.fitting</title>
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Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/package-frame.html
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--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/distribution/package-frame.html Sun May 17 17:05:50 2015
@@ -1,132 +1,132 @@
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-            	<a href="ChiSquaredDistributionTest.html" target="classFrame">ChiSquaredDistributionTest</a>
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-          	          	<li>
-            	<a href="ConstantRealDistributionTest.html" target="classFrame">ConstantRealDistributionTest</a>
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-          	          	<li>
-            	<a href="AbstractIntegerDistributionTest.html" target="classFrame">DiceDistribution</a>
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-            	<a href="EnumeratedIntegerDistributionTest.html" target="classFrame">EnumeratedIntegerDistributionTest</a>
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-          	          	<li>
-            	<a href="NakagamiDistributionTest.html" target="classFrame">NakagamiDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="NormalDistributionTest.html" target="classFrame">NormalDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="ParetoDistributionTest.html" target="classFrame">ParetoDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="PascalDistributionTest.html" target="classFrame">PascalDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="PoissonDistributionTest.html" target="classFrame">PoissonDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="RealDistributionAbstractTest.html" target="classFrame">RealDistributionAbstractTest</a>
-          	</li>
-          	          	<li>
-            	<a href="TDistributionTest.html" target="classFrame">TDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="TriangularDistributionTest.html" target="classFrame">TriangularDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="UniformIntegerDistributionTest.html" target="classFrame">UniformIntegerDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="UniformRealDistributionTest.html" target="classFrame">UniformRealDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="WeibullDistributionTest.html" target="classFrame">WeibullDistributionTest</a>
-          	</li>
-          	          	<li>
-            	<a href="ZipfDistributionTest.html" target="classFrame">ZipfDistributionTest</a>
-          	</li>
-          	      	</ul>
-
-	</body>
+
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xml:lang="en" lang="en">
+	<head>
+		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
+		<title>Apache Commons Math 3.6-SNAPSHOT Reference Package org.apache.commons.math3.distribution</title>
+		<link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css" title="style" />
+	</head>
+	<body>
+
+		<h3>
+        	<a href="package-summary.html" target="classFrame">org.apache.commons.math3.distribution</a>
+      	</h3>
+
+      	<h3>Classes</h3>
+
+      	<ul>
+      		          	<li>
+            	<a href="AbstractIntegerDistributionTest.html" target="classFrame">AbstractIntegerDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="AbstractRealDistributionTest.html" target="classFrame">AbstractRealDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="BetaDistributionTest.html" target="classFrame">BetaDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="BinomialDistributionTest.html" target="classFrame">BinomialDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="CauchyDistributionTest.html" target="classFrame">CauchyDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="ChiSquaredDistributionTest.html" target="classFrame">ChiSquaredDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="ConstantRealDistributionTest.html" target="classFrame">ConstantRealDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="AbstractIntegerDistributionTest.html" target="classFrame">DiceDistribution</a>
+          	</li>
+          	          	<li>
+            	<a href="EnumeratedIntegerDistributionTest.html" target="classFrame">EnumeratedIntegerDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="EnumeratedRealDistributionTest.html" target="classFrame">EnumeratedRealDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="ExponentialDistributionTest.html" target="classFrame">ExponentialDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="FDistributionTest.html" target="classFrame">FDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="GammaDistributionTest.html" target="classFrame">GammaDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="GeometricDistributionTest.html" target="classFrame">GeometricDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="GumbelDistributionTest.html" target="classFrame">GumbelDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="HypergeometricDistributionTest.html" target="classFrame">HypergeometricDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="IntegerDistributionAbstractTest.html" target="classFrame">IntegerDistributionAbstractTest</a>
+          	</li>
+          	          	<li>
+            	<a href="KolmogorovSmirnovDistributionTest.html" target="classFrame">KolmogorovSmirnovDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="LaplaceDistributionTest.html" target="classFrame">LaplaceDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="LevyDistributionTest.html" target="classFrame">LevyDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="LogNormalDistributionTest.html" target="classFrame">LogNormalDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="LogisticsDistributionTest.html" target="classFrame">LogisticsDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="MultivariateNormalDistributionTest.html" target="classFrame">MultivariateNormalDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="MultivariateNormalMixtureModelDistributionTest.html" target="classFrame">MultivariateNormalMixtureModelDistribution</a>
+          	</li>
+          	          	<li>
+            	<a href="MultivariateNormalMixtureModelDistributionTest.html" target="classFrame">MultivariateNormalMixtureModelDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="NakagamiDistributionTest.html" target="classFrame">NakagamiDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="NormalDistributionTest.html" target="classFrame">NormalDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="ParetoDistributionTest.html" target="classFrame">ParetoDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="PascalDistributionTest.html" target="classFrame">PascalDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="PoissonDistributionTest.html" target="classFrame">PoissonDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="RealDistributionAbstractTest.html" target="classFrame">RealDistributionAbstractTest</a>
+          	</li>
+          	          	<li>
+            	<a href="TDistributionTest.html" target="classFrame">TDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="TriangularDistributionTest.html" target="classFrame">TriangularDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="UniformIntegerDistributionTest.html" target="classFrame">UniformIntegerDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="UniformRealDistributionTest.html" target="classFrame">UniformRealDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="WeibullDistributionTest.html" target="classFrame">WeibullDistributionTest</a>
+          	</li>
+          	          	<li>
+            	<a href="ZipfDistributionTest.html" target="classFrame">ZipfDistributionTest</a>
+          	</li>
+          	      	</ul>
+
+	</body>
 </html>
\ No newline at end of file



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