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From er...@apache.org
Subject svn commit: r1002658 [23/35] - 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-test/org/apache/commons/rng/sampling/distribution/ContinuousSamplersList.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/distribution/ContinuousSamplersList.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/distribution/ContinuousSamplersList.html Mon Dec 12 16:27:09 2016
@@ -180,7 +180,7 @@
 <a class="jxr_linenumber" name="L172" href="#L172">172</a>             add(LIST, <strong class="jxr_keyword">new</strong> org.apache.commons.math3.distribution.UniformRealDistribution(loUniform, hiUniform),
 <a class="jxr_linenumber" name="L173" href="#L173">173</a>                 <strong class="jxr_keyword">new</strong> ContinuousUniformSampler(RandomSource.create(RandomSource.MT_64), loUniform, hiUniform));
 <a class="jxr_linenumber" name="L174" href="#L174">174</a> 
-<a class="jxr_linenumber" name="L175" href="#L175">175</a>             <em class="jxr_comment">// Weibull.</em>
+<a class="jxr_linenumber" name="L175" href="#L175">175</a>             <em class="jxr_comment">// Weibull ("inverse method").</em>
 <a class="jxr_linenumber" name="L176" href="#L176">176</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> alphaWeibull = 678.9;
 <a class="jxr_linenumber" name="L177" href="#L177">177</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> betaWeibull = 98.76;
 <a class="jxr_linenumber" name="L178" href="#L178">178</a>             add(LIST, <strong class="jxr_keyword">new</strong> org.apache.commons.math3.distribution.WeibullDistribution(alphaWeibull, betaWeibull),
@@ -212,47 +212,51 @@
 <a class="jxr_linenumber" name="L204" href="#L204">204</a>                                                       <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> inverseCumulativeProbability(<strong class="jxr_keyword">double</strong> p) {
 <a class="jxr_linenumber" name="L205" href="#L205">205</a>                                                           <strong class="jxr_keyword">return</strong> dist.inverseCumulativeProbability(p);
 <a class="jxr_linenumber" name="L206" href="#L206">206</a>                                                       }
-<a class="jxr_linenumber" name="L207" href="#L207">207</a>                                                   });
-<a class="jxr_linenumber" name="L208" href="#L208">208</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSamplerTestData.html">ContinuousSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> ContinuousSamplerTestData(inverseMethodSampler,
-<a class="jxr_linenumber" name="L209" href="#L209">209</a>                                                                                  getDeciles(dist)) });
-<a class="jxr_linenumber" name="L210" href="#L210">210</a>      }
-<a class="jxr_linenumber" name="L211" href="#L211">211</a> 
-<a class="jxr_linenumber" name="L212" href="#L212">212</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L213" href="#L213">213</a> <em class="jxr_javadoccomment">     * @param list List of data (one the "parameters" tested by the Junit parametric test).</em>
-<a class="jxr_linenumber" name="L214" href="#L214">214</a> <em class="jxr_javadoccomment">     * @param dist Distribution to which the samples are supposed to conform.</em>
-<a class="jxr_linenumber" name="L215" href="#L215">215</a> <em class="jxr_javadoccomment">     * @param sampler Sampler.</em>
-<a class="jxr_linenumber" name="L216" href="#L216">216</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L217" href="#L217">217</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">void</strong> add(List&lt;ContinuousSamplerTestData[]&gt; list,
-<a class="jxr_linenumber" name="L218" href="#L218">218</a>                             <strong class="jxr_keyword">final</strong> org.apache.commons.math3.distribution.RealDistribution dist,
-<a class="jxr_linenumber" name="L219" href="#L219">219</a>                             <strong class="jxr_keyword">final</strong> ContinuousSampler sampler) {
-<a class="jxr_linenumber" name="L220" href="#L220">220</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSamplerTestData.html">ContinuousSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> ContinuousSamplerTestData(sampler,
-<a class="jxr_linenumber" name="L221" href="#L221">221</a>                                                                                  getDeciles(dist)) });
-<a class="jxr_linenumber" name="L222" href="#L222">222</a>     }
-<a class="jxr_linenumber" name="L223" href="#L223">223</a> 
-<a class="jxr_linenumber" name="L224" href="#L224">224</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L225" href="#L225">225</a> <em class="jxr_javadoccomment">     * Subclasses that are "parametric" tests can forward the call to</em>
-<a class="jxr_linenumber" name="L226" href="#L226">226</a> <em class="jxr_javadoccomment">     * the "@Parameters"-annotated method to this method.</em>
-<a class="jxr_linenumber" name="L227" href="#L227">227</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L228" href="#L228">228</a> <em class="jxr_javadoccomment">     * @return the list of all generators.</em>
-<a class="jxr_linenumber" name="L229" href="#L229">229</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L230" href="#L230">230</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">static</strong> Iterable&lt;ContinuousSamplerTestData[]&gt; list() {
-<a class="jxr_linenumber" name="L231" href="#L231">231</a>         <strong class="jxr_keyword">return</strong> Collections.unmodifiableList(LIST);
-<a class="jxr_linenumber" name="L232" href="#L232">232</a>     }
-<a class="jxr_linenumber" name="L233" href="#L233">233</a> 
-<a class="jxr_linenumber" name="L234" href="#L234">234</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L235" href="#L235">235</a> <em class="jxr_javadoccomment">     * @param dist Distribution.</em>
-<a class="jxr_linenumber" name="L236" href="#L236">236</a> <em class="jxr_javadoccomment">     * @return the deciles of the given distribution. </em>
-<a class="jxr_linenumber" name="L237" href="#L237">237</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L238" href="#L238">238</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] getDeciles(org.apache.commons.math3.distribution.RealDistribution dist) {
-<a class="jxr_linenumber" name="L239" href="#L239">239</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> last = 9;
-<a class="jxr_linenumber" name="L240" href="#L240">240</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] deciles = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[last];
-<a class="jxr_linenumber" name="L241" href="#L241">241</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> ten = 10;
-<a class="jxr_linenumber" name="L242" href="#L242">242</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; last; i++) {
-<a class="jxr_linenumber" name="L243" href="#L243">243</a>             deciles[i] = dist.inverseCumulativeProbability((i + 1) / ten);
-<a class="jxr_linenumber" name="L244" href="#L244">244</a>         }
-<a class="jxr_linenumber" name="L245" href="#L245">245</a>         <strong class="jxr_keyword">return</strong> deciles;
-<a class="jxr_linenumber" name="L246" href="#L246">246</a>     }
-<a class="jxr_linenumber" name="L247" href="#L247">247</a> }
+<a class="jxr_linenumber" name="L207" href="#L207">207</a>                                                       @Override
+<a class="jxr_linenumber" name="L208" href="#L208">208</a>                                                       <strong class="jxr_keyword">public</strong> String toString() {
+<a class="jxr_linenumber" name="L209" href="#L209">209</a>                                                           <strong class="jxr_keyword">return</strong> dist.toString();
+<a class="jxr_linenumber" name="L210" href="#L210">210</a>                                                       }
+<a class="jxr_linenumber" name="L211" href="#L211">211</a>                                                   });
+<a class="jxr_linenumber" name="L212" href="#L212">212</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSamplerTestData.html">ContinuousSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> ContinuousSamplerTestData(inverseMethodSampler,
+<a class="jxr_linenumber" name="L213" href="#L213">213</a>                                                                                  getDeciles(dist)) });
+<a class="jxr_linenumber" name="L214" href="#L214">214</a>      }
+<a class="jxr_linenumber" name="L215" href="#L215">215</a> 
+<a class="jxr_linenumber" name="L216" href="#L216">216</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L217" href="#L217">217</a> <em class="jxr_javadoccomment">     * @param list List of data (one the "parameters" tested by the Junit parametric test).</em>
+<a class="jxr_linenumber" name="L218" href="#L218">218</a> <em class="jxr_javadoccomment">     * @param dist Distribution to which the samples are supposed to conform.</em>
+<a class="jxr_linenumber" name="L219" href="#L219">219</a> <em class="jxr_javadoccomment">     * @param sampler Sampler.</em>
+<a class="jxr_linenumber" name="L220" href="#L220">220</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L221" href="#L221">221</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">void</strong> add(List&lt;ContinuousSamplerTestData[]&gt; list,
+<a class="jxr_linenumber" name="L222" href="#L222">222</a>                             <strong class="jxr_keyword">final</strong> org.apache.commons.math3.distribution.RealDistribution dist,
+<a class="jxr_linenumber" name="L223" href="#L223">223</a>                             <strong class="jxr_keyword">final</strong> ContinuousSampler sampler) {
+<a class="jxr_linenumber" name="L224" href="#L224">224</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSamplerTestData.html">ContinuousSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> ContinuousSamplerTestData(sampler,
+<a class="jxr_linenumber" name="L225" href="#L225">225</a>                                                                                  getDeciles(dist)) });
+<a class="jxr_linenumber" name="L226" href="#L226">226</a>     }
+<a class="jxr_linenumber" name="L227" href="#L227">227</a> 
+<a class="jxr_linenumber" name="L228" href="#L228">228</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L229" href="#L229">229</a> <em class="jxr_javadoccomment">     * Subclasses that are "parametric" tests can forward the call to</em>
+<a class="jxr_linenumber" name="L230" href="#L230">230</a> <em class="jxr_javadoccomment">     * the "@Parameters"-annotated method to this method.</em>
+<a class="jxr_linenumber" name="L231" href="#L231">231</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L232" href="#L232">232</a> <em class="jxr_javadoccomment">     * @return the list of all generators.</em>
+<a class="jxr_linenumber" name="L233" href="#L233">233</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L234" href="#L234">234</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">static</strong> Iterable&lt;ContinuousSamplerTestData[]&gt; list() {
+<a class="jxr_linenumber" name="L235" href="#L235">235</a>         <strong class="jxr_keyword">return</strong> Collections.unmodifiableList(LIST);
+<a class="jxr_linenumber" name="L236" href="#L236">236</a>     }
+<a class="jxr_linenumber" name="L237" href="#L237">237</a> 
+<a class="jxr_linenumber" name="L238" href="#L238">238</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L239" href="#L239">239</a> <em class="jxr_javadoccomment">     * @param dist Distribution.</em>
+<a class="jxr_linenumber" name="L240" href="#L240">240</a> <em class="jxr_javadoccomment">     * @return the deciles of the given distribution. </em>
+<a class="jxr_linenumber" name="L241" href="#L241">241</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L242" href="#L242">242</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] getDeciles(org.apache.commons.math3.distribution.RealDistribution dist) {
+<a class="jxr_linenumber" name="L243" href="#L243">243</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> last = 9;
+<a class="jxr_linenumber" name="L244" href="#L244">244</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] deciles = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[last];
+<a class="jxr_linenumber" name="L245" href="#L245">245</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> ten = 10;
+<a class="jxr_linenumber" name="L246" href="#L246">246</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; last; i++) {
+<a class="jxr_linenumber" name="L247" href="#L247">247</a>             deciles[i] = dist.inverseCumulativeProbability((i + 1) / ten);
+<a class="jxr_linenumber" name="L248" href="#L248">248</a>         }
+<a class="jxr_linenumber" name="L249" href="#L249">249</a>         <strong class="jxr_keyword">return</strong> deciles;
+<a class="jxr_linenumber" name="L250" href="#L250">250</a>     }
+<a class="jxr_linenumber" name="L251" href="#L251">251</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-test/org/apache/commons/rng/sampling/distribution/DiscreteSamplersList.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/distribution/DiscreteSamplersList.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/distribution/DiscreteSamplersList.html Mon Dec 12 16:27:09 2016
@@ -117,99 +117,108 @@
 <a class="jxr_linenumber" name="L109" href="#L109">109</a>             add(LIST, <strong class="jxr_keyword">new</strong> org.apache.commons.math3.distribution.PoissonDistribution(meanPoisson),
 <a class="jxr_linenumber" name="L110" href="#L110">110</a>                 MathArrays.sequence(10, 0, 1),
 <a class="jxr_linenumber" name="L111" href="#L111">111</a>                 <strong class="jxr_keyword">new</strong> PoissonSampler(RandomSource.create(RandomSource.KISS), meanPoisson));
-<a class="jxr_linenumber" name="L112" href="#L112">112</a>             <em class="jxr_comment">// Poisson (mean &gt; 40).</em>
-<a class="jxr_linenumber" name="L113" href="#L113">113</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> largeMeanPoisson = 543.21;
+<a class="jxr_linenumber" name="L112" href="#L112">112</a>             <em class="jxr_comment">// Poisson (40 &lt; mean &lt; 80).</em>
+<a class="jxr_linenumber" name="L113" href="#L113">113</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> largeMeanPoisson = 67.89;
 <a class="jxr_linenumber" name="L114" href="#L114">114</a>             add(LIST, <strong class="jxr_keyword">new</strong> org.apache.commons.math3.distribution.PoissonDistribution(largeMeanPoisson),
-<a class="jxr_linenumber" name="L115" href="#L115">115</a>                 MathArrays.sequence(100, (<strong class="jxr_keyword">int</strong>) (largeMeanPoisson - 50), 1),
+<a class="jxr_linenumber" name="L115" href="#L115">115</a>                 MathArrays.sequence(50, (<strong class="jxr_keyword">int</strong>) (largeMeanPoisson - 25), 1),
 <a class="jxr_linenumber" name="L116" href="#L116">116</a>                 <strong class="jxr_keyword">new</strong> PoissonSampler(RandomSource.create(RandomSource.SPLIT_MIX_64), largeMeanPoisson));
-<a class="jxr_linenumber" name="L117" href="#L117">117</a>         } <strong class="jxr_keyword">catch</strong> (Exception e) {
-<a class="jxr_linenumber" name="L118" href="#L118">118</a>             System.err.println(<span class="jxr_string">"Unexpected exception while creating the list of samplers: "</span> + e);
-<a class="jxr_linenumber" name="L119" href="#L119">119</a>             e.printStackTrace(System.err);
-<a class="jxr_linenumber" name="L120" href="#L120">120</a>             <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> RuntimeException(e);
-<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="L123" href="#L123">123</a> 
-<a class="jxr_linenumber" name="L124" href="#L124">124</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L125" href="#L125">125</a> <em class="jxr_javadoccomment">     * Class contains only static methods.</em>
-<a class="jxr_linenumber" name="L126" href="#L126">126</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L127" href="#L127">127</a>     <strong class="jxr_keyword">private</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSamplersList.html">DiscreteSamplersList</a>() {}
+<a class="jxr_linenumber" name="L117" href="#L117">117</a>             <em class="jxr_comment">// Poisson (mean &gt;&gt; 40).</em>
+<a class="jxr_linenumber" name="L118" href="#L118">118</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> veryLargeMeanPoisson = 543.21;
+<a class="jxr_linenumber" name="L119" href="#L119">119</a>             add(LIST, <strong class="jxr_keyword">new</strong> org.apache.commons.math3.distribution.PoissonDistribution(veryLargeMeanPoisson),
+<a class="jxr_linenumber" name="L120" href="#L120">120</a>                 MathArrays.sequence(100, (<strong class="jxr_keyword">int</strong>) (veryLargeMeanPoisson - 50), 1),
+<a class="jxr_linenumber" name="L121" href="#L121">121</a>                 <strong class="jxr_keyword">new</strong> PoissonSampler(RandomSource.create(RandomSource.SPLIT_MIX_64), veryLargeMeanPoisson));
+<a class="jxr_linenumber" name="L122" href="#L122">122</a>         } <strong class="jxr_keyword">catch</strong> (Exception e) {
+<a class="jxr_linenumber" name="L123" href="#L123">123</a>             System.err.println(<span class="jxr_string">"Unexpected exception while creating the list of samplers: "</span> + e);
+<a class="jxr_linenumber" name="L124" href="#L124">124</a>             e.printStackTrace(System.err);
+<a class="jxr_linenumber" name="L125" href="#L125">125</a>             <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> RuntimeException(e);
+<a class="jxr_linenumber" name="L126" href="#L126">126</a>         }
+<a class="jxr_linenumber" name="L127" href="#L127">127</a>     }
 <a class="jxr_linenumber" name="L128" href="#L128">128</a> 
 <a class="jxr_linenumber" name="L129" href="#L129">129</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L130" href="#L130">130</a> <em class="jxr_javadoccomment">     * @param list List of data (one the "parameters" tested by the Junit parametric test).</em>
-<a class="jxr_linenumber" name="L131" href="#L131">131</a> <em class="jxr_javadoccomment">     * @param dist Distribution to which the samples are supposed to conform.</em>
-<a class="jxr_linenumber" name="L132" href="#L132">132</a> <em class="jxr_javadoccomment">     * @param points Outcomes selection.</em>
-<a class="jxr_linenumber" name="L133" href="#L133">133</a> <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed sequences.</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>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">void</strong> add(List&lt;DiscreteSamplerTestData[]&gt; list,
-<a class="jxr_linenumber" name="L136" href="#L136">136</a>                             <strong class="jxr_keyword">final</strong> org.apache.commons.math3.distribution.IntegerDistribution dist,
-<a class="jxr_linenumber" name="L137" href="#L137">137</a>                             <strong class="jxr_keyword">int</strong>[] points,
-<a class="jxr_linenumber" name="L138" href="#L138">138</a>                             UniformRandomProvider rng) {
-<a class="jxr_linenumber" name="L139" href="#L139">139</a>         <strong class="jxr_keyword">final</strong> DiscreteSampler inverseMethodSampler =
-<a class="jxr_linenumber" name="L140" href="#L140">140</a>             <strong class="jxr_keyword">new</strong> InverseTransformDiscreteSampler(rng,
-<a class="jxr_linenumber" name="L141" href="#L141">141</a>                                              <strong class="jxr_keyword">new</strong> DiscreteInverseCumulativeProbabilityFunction() {
-<a class="jxr_linenumber" name="L142" href="#L142">142</a>                                                  @Override
-<a class="jxr_linenumber" name="L143" href="#L143">143</a>                                                  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> inverseCumulativeProbability(<strong class="jxr_keyword">double</strong> p) {
-<a class="jxr_linenumber" name="L144" href="#L144">144</a>                                                      <strong class="jxr_keyword">return</strong> dist.inverseCumulativeProbability(p);
-<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>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSamplerTestData.html">DiscreteSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> DiscreteSamplerTestData(inverseMethodSampler,
-<a class="jxr_linenumber" name="L148" href="#L148">148</a>                                                                              points,
-<a class="jxr_linenumber" name="L149" href="#L149">149</a>                                                                              getProbabilities(dist, points)) });
-<a class="jxr_linenumber" name="L150" href="#L150">150</a>      }
-<a class="jxr_linenumber" name="L151" href="#L151">151</a> 
-<a class="jxr_linenumber" name="L152" href="#L152">152</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L153" href="#L153">153</a> <em class="jxr_javadoccomment">     * @param list List of data (one the "parameters" tested by the Junit parametric test).</em>
-<a class="jxr_linenumber" name="L154" href="#L154">154</a> <em class="jxr_javadoccomment">     * @param dist Distribution to which the samples are supposed to conform.</em>
-<a class="jxr_linenumber" name="L155" href="#L155">155</a> <em class="jxr_javadoccomment">     * @param points Outcomes selection.</em>
-<a class="jxr_linenumber" name="L156" href="#L156">156</a> <em class="jxr_javadoccomment">     * @param sampler Sampler.</em>
-<a class="jxr_linenumber" name="L157" href="#L157">157</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L158" href="#L158">158</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">void</strong> add(List&lt;DiscreteSamplerTestData[]&gt; list,
-<a class="jxr_linenumber" name="L159" href="#L159">159</a>                             <strong class="jxr_keyword">final</strong> org.apache.commons.math3.distribution.IntegerDistribution dist,
-<a class="jxr_linenumber" name="L160" href="#L160">160</a>                             <strong class="jxr_keyword">int</strong>[] points,
-<a class="jxr_linenumber" name="L161" href="#L161">161</a>                             <strong class="jxr_keyword">final</strong> DiscreteSampler sampler) {
-<a class="jxr_linenumber" name="L162" href="#L162">162</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSamplerTestData.html">DiscreteSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> DiscreteSamplerTestData(sampler,
-<a class="jxr_linenumber" name="L163" href="#L163">163</a>                                                                              points,
-<a class="jxr_linenumber" name="L164" href="#L164">164</a>                                                                              getProbabilities(dist, points)) });
-<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>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L168" href="#L168">168</a> <em class="jxr_javadoccomment">     * Subclasses that are "parametric" tests can forward the call to</em>
-<a class="jxr_linenumber" name="L169" href="#L169">169</a> <em class="jxr_javadoccomment">     * the "@Parameters"-annotated method to this method.</em>
-<a class="jxr_linenumber" name="L170" href="#L170">170</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L171" href="#L171">171</a> <em class="jxr_javadoccomment">     * @return the list of all generators.</em>
-<a class="jxr_linenumber" name="L172" href="#L172">172</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L173" href="#L173">173</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">static</strong> Iterable&lt;DiscreteSamplerTestData[]&gt; list() {
-<a class="jxr_linenumber" name="L174" href="#L174">174</a>         <strong class="jxr_keyword">return</strong> Collections.unmodifiableList(LIST);
-<a class="jxr_linenumber" name="L175" href="#L175">175</a>     }
-<a class="jxr_linenumber" name="L176" href="#L176">176</a> 
-<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> <em class="jxr_javadoccomment">     * @param dist Distribution.</em>
-<a class="jxr_linenumber" name="L179" href="#L179">179</a> <em class="jxr_javadoccomment">     * @param points Points.</em>
-<a class="jxr_linenumber" name="L180" href="#L180">180</a> <em class="jxr_javadoccomment">     * @return the probabilities of the given points according to the distribution. </em>
+<a class="jxr_linenumber" name="L130" href="#L130">130</a> <em class="jxr_javadoccomment">     * Class contains only static methods.</em>
+<a class="jxr_linenumber" name="L131" href="#L131">131</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L132" href="#L132">132</a>     <strong class="jxr_keyword">private</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSamplersList.html">DiscreteSamplersList</a>() {}
+<a class="jxr_linenumber" name="L133" href="#L133">133</a> 
+<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> <em class="jxr_javadoccomment">     * @param list List of data (one the "parameters" tested by the Junit parametric test).</em>
+<a class="jxr_linenumber" name="L136" href="#L136">136</a> <em class="jxr_javadoccomment">     * @param dist Distribution to which the samples are supposed to conform.</em>
+<a class="jxr_linenumber" name="L137" href="#L137">137</a> <em class="jxr_javadoccomment">     * @param points Outcomes selection.</em>
+<a class="jxr_linenumber" name="L138" href="#L138">138</a> <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed sequences.</em>
+<a class="jxr_linenumber" name="L139" href="#L139">139</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L140" href="#L140">140</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">void</strong> add(List&lt;DiscreteSamplerTestData[]&gt; list,
+<a class="jxr_linenumber" name="L141" href="#L141">141</a>                             <strong class="jxr_keyword">final</strong> org.apache.commons.math3.distribution.IntegerDistribution dist,
+<a class="jxr_linenumber" name="L142" href="#L142">142</a>                             <strong class="jxr_keyword">int</strong>[] points,
+<a class="jxr_linenumber" name="L143" href="#L143">143</a>                             UniformRandomProvider rng) {
+<a class="jxr_linenumber" name="L144" href="#L144">144</a>         <strong class="jxr_keyword">final</strong> DiscreteSampler inverseMethodSampler =
+<a class="jxr_linenumber" name="L145" href="#L145">145</a>             <strong class="jxr_keyword">new</strong> InverseTransformDiscreteSampler(rng,
+<a class="jxr_linenumber" name="L146" href="#L146">146</a>                                                 <strong class="jxr_keyword">new</strong> DiscreteInverseCumulativeProbabilityFunction() {
+<a class="jxr_linenumber" name="L147" href="#L147">147</a>                                                     @Override
+<a class="jxr_linenumber" name="L148" href="#L148">148</a>                                                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> inverseCumulativeProbability(<strong class="jxr_keyword">double</strong> p) {
+<a class="jxr_linenumber" name="L149" href="#L149">149</a>                                                         <strong class="jxr_keyword">return</strong> dist.inverseCumulativeProbability(p);
+<a class="jxr_linenumber" name="L150" href="#L150">150</a>                                                     }
+<a class="jxr_linenumber" name="L151" href="#L151">151</a>                                                     @Override
+<a class="jxr_linenumber" name="L152" href="#L152">152</a>                                                     <strong class="jxr_keyword">public</strong> String toString() {
+<a class="jxr_linenumber" name="L153" href="#L153">153</a>                                                         <strong class="jxr_keyword">return</strong> dist.toString();
+<a class="jxr_linenumber" name="L154" href="#L154">154</a>                                                     }
+<a class="jxr_linenumber" name="L155" href="#L155">155</a>                                                 });
+<a class="jxr_linenumber" name="L156" href="#L156">156</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSamplerTestData.html">DiscreteSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> DiscreteSamplerTestData(inverseMethodSampler,
+<a class="jxr_linenumber" name="L157" href="#L157">157</a>                                                                              points,
+<a class="jxr_linenumber" name="L158" href="#L158">158</a>                                                                              getProbabilities(dist, points)) });
+<a class="jxr_linenumber" name="L159" href="#L159">159</a>      }
+<a class="jxr_linenumber" name="L160" href="#L160">160</a> 
+<a class="jxr_linenumber" name="L161" href="#L161">161</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L162" href="#L162">162</a> <em class="jxr_javadoccomment">     * @param list List of data (one the "parameters" tested by the Junit parametric test).</em>
+<a class="jxr_linenumber" name="L163" href="#L163">163</a> <em class="jxr_javadoccomment">     * @param dist Distribution to which the samples are supposed to conform.</em>
+<a class="jxr_linenumber" name="L164" href="#L164">164</a> <em class="jxr_javadoccomment">     * @param points Outcomes selection.</em>
+<a class="jxr_linenumber" name="L165" href="#L165">165</a> <em class="jxr_javadoccomment">     * @param sampler Sampler.</em>
+<a class="jxr_linenumber" name="L166" href="#L166">166</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L167" href="#L167">167</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">void</strong> add(List&lt;DiscreteSamplerTestData[]&gt; list,
+<a class="jxr_linenumber" name="L168" href="#L168">168</a>                             <strong class="jxr_keyword">final</strong> org.apache.commons.math3.distribution.IntegerDistribution dist,
+<a class="jxr_linenumber" name="L169" href="#L169">169</a>                             <strong class="jxr_keyword">int</strong>[] points,
+<a class="jxr_linenumber" name="L170" href="#L170">170</a>                             <strong class="jxr_keyword">final</strong> DiscreteSampler sampler) {
+<a class="jxr_linenumber" name="L171" href="#L171">171</a>         list.add(<strong class="jxr_keyword">new</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/DiscreteSamplerTestData.html">DiscreteSamplerTestData</a>[] { <strong class="jxr_keyword">new</strong> DiscreteSamplerTestData(sampler,
+<a class="jxr_linenumber" name="L172" href="#L172">172</a>                                                                              points,
+<a class="jxr_linenumber" name="L173" href="#L173">173</a>                                                                              getProbabilities(dist, points)) });
+<a class="jxr_linenumber" name="L174" href="#L174">174</a>     }
+<a class="jxr_linenumber" name="L175" href="#L175">175</a> 
+<a class="jxr_linenumber" name="L176" href="#L176">176</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L177" href="#L177">177</a> <em class="jxr_javadoccomment">     * Subclasses that are "parametric" tests can forward the call to</em>
+<a class="jxr_linenumber" name="L178" href="#L178">178</a> <em class="jxr_javadoccomment">     * the "@Parameters"-annotated method to this method.</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> <em class="jxr_javadoccomment">     * @return the list of all generators.</em>
 <a class="jxr_linenumber" name="L181" href="#L181">181</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L182" href="#L182">182</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] getProbabilities(org.apache.commons.math3.distribution.IntegerDistribution dist,
-<a class="jxr_linenumber" name="L183" href="#L183">183</a>                                              <strong class="jxr_keyword">int</strong>[] points) {
-<a class="jxr_linenumber" name="L184" href="#L184">184</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> len = points.length;
-<a class="jxr_linenumber" name="L185" href="#L185">185</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] prob = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[len];
-<a class="jxr_linenumber" name="L186" href="#L186">186</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; len; i++) {
-<a class="jxr_linenumber" name="L187" href="#L187">187</a>             prob[i] = dist instanceof org.apache.commons.math3.distribution.UniformIntegerDistribution ? <em class="jxr_comment">// XXX Workaround.</em>
-<a class="jxr_linenumber" name="L188" href="#L188">188</a>                 getProbability((org.apache.commons.math3.distribution.UniformIntegerDistribution) dist) :
-<a class="jxr_linenumber" name="L189" href="#L189">189</a>                 dist.probability(points[i]);
-<a class="jxr_linenumber" name="L190" href="#L190">190</a> 
-<a class="jxr_linenumber" name="L191" href="#L191">191</a>             <strong class="jxr_keyword">if</strong> (prob[i] &lt; 0) {
-<a class="jxr_linenumber" name="L192" href="#L192">192</a>                 <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> IllegalStateException(dist + <span class="jxr_string">": p &lt; 0 (at "</span> + points[i] + <span class="jxr_string">", p="</span> + prob[i]);
-<a class="jxr_linenumber" name="L193" href="#L193">193</a>             }
-<a class="jxr_linenumber" name="L194" href="#L194">194</a>         }
-<a class="jxr_linenumber" name="L195" href="#L195">195</a>         <strong class="jxr_keyword">return</strong> prob;
-<a class="jxr_linenumber" name="L196" href="#L196">196</a>     }
-<a class="jxr_linenumber" name="L197" href="#L197">197</a> 
-<a class="jxr_linenumber" name="L198" href="#L198">198</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L199" href="#L199">199</a> <em class="jxr_javadoccomment">     * Workaround bugs in Commons Math's "UniformIntegerDistribution" (cf. MATH-1396).</em>
-<a class="jxr_linenumber" name="L200" href="#L200">200</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L201" href="#L201">201</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong> getProbability(org.apache.commons.math3.distribution.UniformIntegerDistribution dist) {
-<a class="jxr_linenumber" name="L202" href="#L202">202</a>         <strong class="jxr_keyword">return</strong> 1 / ((<strong class="jxr_keyword">double</strong>) dist.getSupportUpperBound() - (<strong class="jxr_keyword">double</strong>) dist.getSupportLowerBound() + 1);
-<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="L182" href="#L182">182</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">static</strong> Iterable&lt;DiscreteSamplerTestData[]&gt; list() {
+<a class="jxr_linenumber" name="L183" href="#L183">183</a>         <strong class="jxr_keyword">return</strong> Collections.unmodifiableList(LIST);
+<a class="jxr_linenumber" name="L184" href="#L184">184</a>     }
+<a class="jxr_linenumber" name="L185" href="#L185">185</a> 
+<a class="jxr_linenumber" name="L186" href="#L186">186</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L187" href="#L187">187</a> <em class="jxr_javadoccomment">     * @param dist Distribution.</em>
+<a class="jxr_linenumber" name="L188" href="#L188">188</a> <em class="jxr_javadoccomment">     * @param points Points.</em>
+<a class="jxr_linenumber" name="L189" href="#L189">189</a> <em class="jxr_javadoccomment">     * @return the probabilities of the given points according to the distribution. </em>
+<a class="jxr_linenumber" name="L190" href="#L190">190</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L191" href="#L191">191</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] getProbabilities(org.apache.commons.math3.distribution.IntegerDistribution dist,
+<a class="jxr_linenumber" name="L192" href="#L192">192</a>                                              <strong class="jxr_keyword">int</strong>[] points) {
+<a class="jxr_linenumber" name="L193" href="#L193">193</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> len = points.length;
+<a class="jxr_linenumber" name="L194" href="#L194">194</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] prob = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[len];
+<a class="jxr_linenumber" name="L195" href="#L195">195</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; len; i++) {
+<a class="jxr_linenumber" name="L196" href="#L196">196</a>             prob[i] = dist instanceof org.apache.commons.math3.distribution.UniformIntegerDistribution ? <em class="jxr_comment">// XXX Workaround.</em>
+<a class="jxr_linenumber" name="L197" href="#L197">197</a>                 getProbability((org.apache.commons.math3.distribution.UniformIntegerDistribution) dist) :
+<a class="jxr_linenumber" name="L198" href="#L198">198</a>                 dist.probability(points[i]);
+<a class="jxr_linenumber" name="L199" href="#L199">199</a> 
+<a class="jxr_linenumber" name="L200" href="#L200">200</a>             <strong class="jxr_keyword">if</strong> (prob[i] &lt; 0) {
+<a class="jxr_linenumber" name="L201" href="#L201">201</a>                 <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> IllegalStateException(dist + <span class="jxr_string">": p &lt; 0 (at "</span> + points[i] + <span class="jxr_string">", p="</span> + prob[i]);
+<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>         <strong class="jxr_keyword">return</strong> prob;
+<a class="jxr_linenumber" name="L205" href="#L205">205</a>     }
+<a class="jxr_linenumber" name="L206" href="#L206">206</a> 
+<a class="jxr_linenumber" name="L207" href="#L207">207</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L208" href="#L208">208</a> <em class="jxr_javadoccomment">     * Workaround bugs in Commons Math's "UniformIntegerDistribution" (cf. MATH-1396).</em>
+<a class="jxr_linenumber" name="L209" href="#L209">209</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L210" href="#L210">210</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong> getProbability(org.apache.commons.math3.distribution.UniformIntegerDistribution dist) {
+<a class="jxr_linenumber" name="L211" href="#L211">211</a>         <strong class="jxr_keyword">return</strong> 1 / ((<strong class="jxr_keyword">double</strong>) dist.getSupportUpperBound() - (<strong class="jxr_keyword">double</strong>) dist.getSupportLowerBound() + 1);
+<a class="jxr_linenumber" name="L212" href="#L212">212</a>     }
+<a class="jxr_linenumber" name="L213" href="#L213">213</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-test/org/apache/commons/rng/sampling/distribution/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/distribution/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/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-test/org/apache/commons/rng/sampling/distribution/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/distribution/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/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-test/org/apache/commons/rng/sampling/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/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-test/org/apache/commons/rng/sampling/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/org/apache/commons/rng/sampling/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/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-test/overview-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/overview-frame.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/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-test/overview-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/overview-summary.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref-test/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-sampling/xref/index.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/index.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/index.html Mon Dec 12 16:27:09 2016
@@ -4,7 +4,7 @@
 <!-- this is a JXR report set -->
 	<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>
 	</head>
     <frameset cols="20%,80%">
 		<frameset rows="30%,70%">

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/ListSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/ListSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/ListSampler.html Mon Dec 12 16:27:09 2016
@@ -92,7 +92,7 @@
 <a class="jxr_linenumber" name="L84" href="#L84">84</a>  
 <a class="jxr_linenumber" name="L85" href="#L85">85</a>      <em class="jxr_javadoccomment">/**</em>
 <a class="jxr_linenumber" name="L86" href="#L86">86</a>  <em class="jxr_javadoccomment">     * Shuffles the entries of the given array, using the</em>
-<a class="jxr_linenumber" name="L87" href="#L87">87</a>  <em class="jxr_javadoccomment">     * &lt;a href="<a href="http://en.wikipedia.org/wiki/Fisher" target="alexandria_uri">http://en.wikipedia.org/wiki/Fisher</a>–Yates_shuffle#The_modern_algorithm"&gt;</em>
+<a class="jxr_linenumber" name="L87" href="#L87">87</a>  <em class="jxr_javadoccomment">     * &lt;a href="<a href="http://en.wikipedia.org/wiki/Fisher-Yates_shuffle" target="alexandria_uri">http://en.wikipedia.org/wiki/Fisher-Yates_shuffle</a>#The_modern_algorithm"&gt;</em>
 <a class="jxr_linenumber" name="L88" href="#L88">88</a>  <em class="jxr_javadoccomment">     * Fisher-Yates&lt;/a&gt; algorithm.</em>
 <a class="jxr_linenumber" name="L89" href="#L89">89</a>  <em class="jxr_javadoccomment">     * The {@code start} and {@code pos} parameters select which part</em>
 <a class="jxr_linenumber" name="L90" href="#L90">90</a>  <em class="jxr_javadoccomment">     * of the array is randomized and which is left untouched.</em>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/PermutationSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/PermutationSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/PermutationSampler.html Mon Dec 12 16:27:09 2016
@@ -100,7 +100,7 @@
 <a class="jxr_linenumber" name="L92" href="#L92">92</a>  
 <a class="jxr_linenumber" name="L93" href="#L93">93</a>      <em class="jxr_javadoccomment">/**</em>
 <a class="jxr_linenumber" name="L94" href="#L94">94</a>  <em class="jxr_javadoccomment">     * Shuffles the entries of the given array, using the</em>
-<a class="jxr_linenumber" name="L95" href="#L95">95</a>  <em class="jxr_javadoccomment">     * &lt;a href="<a href="http://en.wikipedia.org/wiki/Fisher" target="alexandria_uri">http://en.wikipedia.org/wiki/Fisher</a>–Yates_shuffle#The_modern_algorithm"&gt;</em>
+<a class="jxr_linenumber" name="L95" href="#L95">95</a>  <em class="jxr_javadoccomment">     * &lt;a href="<a href="http://en.wikipedia.org/wiki/Fisher-Yates_shuffle" target="alexandria_uri">http://en.wikipedia.org/wiki/Fisher-Yates_shuffle</a>#The_modern_algorithm"&gt;</em>
 <a class="jxr_linenumber" name="L96" href="#L96">96</a>  <em class="jxr_javadoccomment">     * Fisher-Yates&lt;/a&gt; algorithm.</em>
 <a class="jxr_linenumber" name="L97" href="#L97">97</a>  <em class="jxr_javadoccomment">     * The {@code start} and {@code pos} parameters select which part</em>
 <a class="jxr_linenumber" name="L98" href="#L98">98</a>  <em class="jxr_javadoccomment">     * of the array is randomized and which is left untouched.</em>

Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html Mon Dec 12 16:27:09 2016
@@ -27,125 +27,123 @@
 <a class="jxr_linenumber" name="L19" href="#L19">19</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.rng.UniformRandomProvider;
 <a class="jxr_linenumber" name="L20" href="#L20">20</a>  
 <a class="jxr_linenumber" name="L21" href="#L21">21</a>  <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L22" href="#L22">22</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;</em>
-<a class="jxr_linenumber" name="L23" href="#L23">23</a>  <em class="jxr_javadoccomment"> * Sampling from the &lt;a href="<a href="http://mathworld.wolfram.com/GammaDistribution.html" target="alexandria_uri">http://mathworld.wolfram.com/GammaDistribution.html</a>"&gt;Gamma distribution&lt;/a&gt;.</em>
-<a class="jxr_linenumber" name="L24" href="#L24">24</a>  <em class="jxr_javadoccomment"> * &lt;ul&gt;</em>
-<a class="jxr_linenumber" name="L25" href="#L25">25</a>  <em class="jxr_javadoccomment"> *  &lt;li&gt;</em>
-<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment"> *   For {@code 0 &lt; shape &lt; 1}:</em>
-<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> *   &lt;blockquote&gt;</em>
-<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> *    Ahrens, J. H. and Dieter, U.,</em>
-<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> *    &lt;i&gt;Computer methods for sampling from gamma, beta, Poisson and binomial distributions,&lt;/i&gt;</em>
-<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment"> *    Computing, 12, 223-246, 1974.</em>
-<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> *   &lt;/blockquote&gt;</em>
-<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> *  &lt;/li&gt;</em>
-<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment"> *  &lt;li&gt;</em>
-<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment"> *  For {@code shape &gt;= 1}:</em>
-<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment"> *   &lt;blockquote&gt;</em>
-<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment"> *   Marsaglia and Tsang, &lt;i&gt;A Simple Method for Generating</em>
-<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <em class="jxr_javadoccomment"> *   Gamma Variables.&lt;/i&gt; ACM Transactions on Mathematical Software,</em>
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> *   Volume 26 Issue 3, September, 2000.</em>
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> *   &lt;/blockquote&gt;</em>
-<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <em class="jxr_javadoccomment"> *  &lt;/li&gt;</em>
-<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <em class="jxr_javadoccomment"> * &lt;/ul&gt;</em>
-<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <em class="jxr_javadoccomment"> * &lt;/p&gt;</em>
-<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>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html">AhrensDieterMarsagliaTsangGammaSampler</a>
-<a class="jxr_linenumber" name="L45" href="#L45">45</a>      <strong class="jxr_keyword">extends</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/SamplerBase.html">SamplerBase</a>
-<a class="jxr_linenumber" name="L46" href="#L46">46</a>      <strong class="jxr_keyword">implements</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSampler.html">ContinuousSampler</a> {
-<a class="jxr_linenumber" name="L47" href="#L47">47</a>      <em class="jxr_javadoccomment">/** The shape parameter. */</em>
-<a class="jxr_linenumber" name="L48" href="#L48">48</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> theta;
-<a class="jxr_linenumber" name="L49" href="#L49">49</a>      <em class="jxr_javadoccomment">/** The alpha parameter. */</em>
-<a class="jxr_linenumber" name="L50" href="#L50">50</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> alpha;
-<a class="jxr_linenumber" name="L51" href="#L51">51</a>      <em class="jxr_javadoccomment">/** Gaussian sampling. */</em>
-<a class="jxr_linenumber" name="L52" href="#L52">52</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html">BoxMullerGaussianSampler</a> gaussian;
-<a class="jxr_linenumber" name="L53" href="#L53">53</a>  
-<a class="jxr_linenumber" name="L54" href="#L54">54</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed random numbers.</em>
-<a class="jxr_linenumber" name="L56" href="#L56">56</a>  <em class="jxr_javadoccomment">     * @param alpha Alpha parameter of the distribution.</em>
-<a class="jxr_linenumber" name="L57" href="#L57">57</a>  <em class="jxr_javadoccomment">     * @param theta Theta parameter of the distribution.</em>
-<a class="jxr_linenumber" name="L58" href="#L58">58</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L59" href="#L59">59</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html">AhrensDieterMarsagliaTsangGammaSampler</a>(UniformRandomProvider rng,
-<a class="jxr_linenumber" name="L60" href="#L60">60</a>                                                    <strong class="jxr_keyword">double</strong> alpha,
-<a class="jxr_linenumber" name="L61" href="#L61">61</a>                                                    <strong class="jxr_keyword">double</strong> theta) {
-<a class="jxr_linenumber" name="L62" href="#L62">62</a>          <strong class="jxr_keyword">super</strong>(rng);
-<a class="jxr_linenumber" name="L63" href="#L63">63</a>          <strong class="jxr_keyword">this</strong>.alpha = alpha;
-<a class="jxr_linenumber" name="L64" href="#L64">64</a>          <strong class="jxr_keyword">this</strong>.theta = theta;
-<a class="jxr_linenumber" name="L65" href="#L65">65</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="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">/** {@inheritDoc} */</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> sample() {
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>          <strong class="jxr_keyword">if</strong> (theta &lt; 1) {
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>              <em class="jxr_comment">// [1]: p. 228, Algorithm GS.</em>
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>  
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>              <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>                  <em class="jxr_comment">// Step 1:</em>
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>                  <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u = nextDouble();
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>                  <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> bGS = 1 + theta / Math.E;
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>                  <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> p = bGS * u;
-<a class="jxr_linenumber" name="L79" href="#L79">79</a>  
-<a class="jxr_linenumber" name="L80" href="#L80">80</a>                  <strong class="jxr_keyword">if</strong> (p &lt;= 1) {
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>                      <em class="jxr_comment">// Step 2:</em>
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>  
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x = Math.pow(p, 1 / theta);
-<a class="jxr_linenumber" name="L84" href="#L84">84</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u2 = nextDouble();
-<a class="jxr_linenumber" name="L85" href="#L85">85</a>  
-<a class="jxr_linenumber" name="L86" href="#L86">86</a>                      <strong class="jxr_keyword">if</strong> (u2 &gt; Math.exp(-x)) {
-<a class="jxr_linenumber" name="L87" href="#L87">87</a>                          <em class="jxr_comment">// Reject.</em>
-<a class="jxr_linenumber" name="L88" href="#L88">88</a>                          <strong class="jxr_keyword">continue</strong>;
-<a class="jxr_linenumber" name="L89" href="#L89">89</a>                      } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L90" href="#L90">90</a>                          <strong class="jxr_keyword">return</strong> alpha * x;
-<a class="jxr_linenumber" name="L91" href="#L91">91</a>                      }
-<a class="jxr_linenumber" name="L92" href="#L92">92</a>                  } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L93" href="#L93">93</a>                      <em class="jxr_comment">// Step 3:</em>
-<a class="jxr_linenumber" name="L94" href="#L94">94</a>  
-<a class="jxr_linenumber" name="L95" href="#L95">95</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x = -1 * Math.log((bGS - p) / theta);
-<a class="jxr_linenumber" name="L96" href="#L96">96</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u2 = nextDouble();
-<a class="jxr_linenumber" name="L97" href="#L97">97</a>  
-<a class="jxr_linenumber" name="L98" href="#L98">98</a>                      <strong class="jxr_keyword">if</strong> (u2 &gt; Math.pow(x, theta - 1)) {
-<a class="jxr_linenumber" name="L99" href="#L99">99</a>                          <em class="jxr_comment">// Reject.</em>
-<a class="jxr_linenumber" name="L100" href="#L100">100</a>                         <strong class="jxr_keyword">continue</strong>;
-<a class="jxr_linenumber" name="L101" href="#L101">101</a>                     } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="L102" href="#L102">102</a>                         <strong class="jxr_keyword">return</strong> alpha * x;
-<a class="jxr_linenumber" name="L103" href="#L103">103</a>                     }
-<a class="jxr_linenumber" name="L104" href="#L104">104</a>                 }
-<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="L22" href="#L22">22</a>  <em class="jxr_javadoccomment"> * Sampling from the &lt;a href="<a href="http://mathworld.wolfram.com/GammaDistribution.html" target="alexandria_uri">http://mathworld.wolfram.com/GammaDistribution.html</a>"&gt;Gamma distribution&lt;/a&gt;.</em>
+<a class="jxr_linenumber" name="L23" href="#L23">23</a>  <em class="jxr_javadoccomment"> * &lt;ul&gt;</em>
+<a class="jxr_linenumber" name="L24" href="#L24">24</a>  <em class="jxr_javadoccomment"> *  &lt;li&gt;</em>
+<a class="jxr_linenumber" name="L25" href="#L25">25</a>  <em class="jxr_javadoccomment"> *   For {@code 0 &lt; shape &lt; 1}:</em>
+<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <em class="jxr_javadoccomment"> *   &lt;blockquote&gt;</em>
+<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <em class="jxr_javadoccomment"> *    Ahrens, J. H. and Dieter, U.,</em>
+<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <em class="jxr_javadoccomment"> *    &lt;i&gt;Computer methods for sampling from gamma, beta, Poisson and binomial distributions,&lt;/i&gt;</em>
+<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <em class="jxr_javadoccomment"> *    Computing, 12, 223-246, 1974.</em>
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment"> *   &lt;/blockquote&gt;</em>
+<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> *  &lt;/li&gt;</em>
+<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> *  &lt;li&gt;</em>
+<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <em class="jxr_javadoccomment"> *  For {@code shape &gt;= 1}:</em>
+<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <em class="jxr_javadoccomment"> *   &lt;blockquote&gt;</em>
+<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <em class="jxr_javadoccomment"> *   Marsaglia and Tsang, &lt;i&gt;A Simple Method for Generating</em>
+<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <em class="jxr_javadoccomment"> *   Gamma Variables.&lt;/i&gt; ACM Transactions on Mathematical Software,</em>
+<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <em class="jxr_javadoccomment"> *   Volume 26 Issue 3, September, 2000.</em>
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <em class="jxr_javadoccomment"> *   &lt;/blockquote&gt;</em>
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <em class="jxr_javadoccomment"> *  &lt;/li&gt;</em>
+<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <em class="jxr_javadoccomment"> * &lt;/ul&gt;</em>
+<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html">AhrensDieterMarsagliaTsangGammaSampler</a>
+<a class="jxr_linenumber" name="L43" href="#L43">43</a>      <strong class="jxr_keyword">extends</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/SamplerBase.html">SamplerBase</a>
+<a class="jxr_linenumber" name="L44" href="#L44">44</a>      <strong class="jxr_keyword">implements</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/ContinuousSampler.html">ContinuousSampler</a> {
+<a class="jxr_linenumber" name="L45" href="#L45">45</a>      <em class="jxr_javadoccomment">/** The shape parameter. */</em>
+<a class="jxr_linenumber" name="L46" href="#L46">46</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> theta;
+<a class="jxr_linenumber" name="L47" href="#L47">47</a>      <em class="jxr_javadoccomment">/** The alpha parameter. */</em>
+<a class="jxr_linenumber" name="L48" href="#L48">48</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> alpha;
+<a class="jxr_linenumber" name="L49" href="#L49">49</a>      <em class="jxr_javadoccomment">/** Gaussian sampling. */</em>
+<a class="jxr_linenumber" name="L50" href="#L50">50</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html">BoxMullerGaussianSampler</a> gaussian;
+<a class="jxr_linenumber" name="L51" href="#L51">51</a>  
+<a class="jxr_linenumber" name="L52" href="#L52">52</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment">     * @param rng Generator of uniformly distributed random numbers.</em>
+<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <em class="jxr_javadoccomment">     * @param alpha Alpha parameter of the distribution.</em>
+<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment">     * @param theta Theta parameter of the distribution.</em>
+<a class="jxr_linenumber" name="L56" href="#L56">56</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html">AhrensDieterMarsagliaTsangGammaSampler</a>(UniformRandomProvider rng,
+<a class="jxr_linenumber" name="L58" href="#L58">58</a>                                                    <strong class="jxr_keyword">double</strong> alpha,
+<a class="jxr_linenumber" name="L59" href="#L59">59</a>                                                    <strong class="jxr_keyword">double</strong> theta) {
+<a class="jxr_linenumber" name="L60" href="#L60">60</a>          <strong class="jxr_keyword">super</strong>(rng);
+<a class="jxr_linenumber" name="L61" href="#L61">61</a>          <strong class="jxr_keyword">this</strong>.alpha = alpha;
+<a class="jxr_linenumber" name="L62" href="#L62">62</a>          <strong class="jxr_keyword">this</strong>.theta = theta;
+<a class="jxr_linenumber" name="L63" href="#L63">63</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="L64" href="#L64">64</a>      }
+<a class="jxr_linenumber" name="L65" href="#L65">65</a>  
+<a class="jxr_linenumber" name="L66" href="#L66">66</a>      <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L67" href="#L67">67</a>      @Override
+<a class="jxr_linenumber" name="L68" href="#L68">68</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> sample() {
+<a class="jxr_linenumber" name="L69" href="#L69">69</a>          <strong class="jxr_keyword">if</strong> (theta &lt; 1) {
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>              <em class="jxr_comment">// [1]: p. 228, Algorithm GS.</em>
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>  
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>              <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
+<a class="jxr_linenumber" name="L73" href="#L73">73</a>                  <em class="jxr_comment">// Step 1:</em>
+<a class="jxr_linenumber" name="L74" href="#L74">74</a>                  <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u = nextDouble();
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>                  <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> bGS = 1 + theta / Math.E;
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>                  <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> p = bGS * u;
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>  
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>                  <strong class="jxr_keyword">if</strong> (p &lt;= 1) {
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>                      <em class="jxr_comment">// Step 2:</em>
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>  
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x = Math.pow(p, 1 / theta);
+<a class="jxr_linenumber" name="L82" href="#L82">82</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u2 = nextDouble();
+<a class="jxr_linenumber" name="L83" href="#L83">83</a>  
+<a class="jxr_linenumber" name="L84" href="#L84">84</a>                      <strong class="jxr_keyword">if</strong> (u2 &gt; Math.exp(-x)) {
+<a class="jxr_linenumber" name="L85" href="#L85">85</a>                          <em class="jxr_comment">// Reject.</em>
+<a class="jxr_linenumber" name="L86" href="#L86">86</a>                          <strong class="jxr_keyword">continue</strong>;
+<a class="jxr_linenumber" name="L87" href="#L87">87</a>                      } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L88" href="#L88">88</a>                          <strong class="jxr_keyword">return</strong> alpha * x;
+<a class="jxr_linenumber" name="L89" href="#L89">89</a>                      }
+<a class="jxr_linenumber" name="L90" href="#L90">90</a>                  } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L91" href="#L91">91</a>                      <em class="jxr_comment">// Step 3:</em>
+<a class="jxr_linenumber" name="L92" href="#L92">92</a>  
+<a class="jxr_linenumber" name="L93" href="#L93">93</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x = -1 * Math.log((bGS - p) / theta);
+<a class="jxr_linenumber" name="L94" href="#L94">94</a>                      <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u2 = nextDouble();
+<a class="jxr_linenumber" name="L95" href="#L95">95</a>  
+<a class="jxr_linenumber" name="L96" href="#L96">96</a>                      <strong class="jxr_keyword">if</strong> (u2 &gt; Math.pow(x, theta - 1)) {
+<a class="jxr_linenumber" name="L97" href="#L97">97</a>                          <em class="jxr_comment">// Reject.</em>
+<a class="jxr_linenumber" name="L98" href="#L98">98</a>                          <strong class="jxr_keyword">continue</strong>;
+<a class="jxr_linenumber" name="L99" href="#L99">99</a>                      } <strong class="jxr_keyword">else</strong> {
+<a class="jxr_linenumber" name="L100" href="#L100">100</a>                         <strong class="jxr_keyword">return</strong> alpha * x;
+<a class="jxr_linenumber" name="L101" href="#L101">101</a>                     }
+<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>         }
+<a class="jxr_linenumber" name="L105" href="#L105">105</a> 
+<a class="jxr_linenumber" name="L106" href="#L106">106</a>         <em class="jxr_comment">// Now theta &gt;= 1.</em>
 <a class="jxr_linenumber" name="L107" href="#L107">107</a> 
-<a class="jxr_linenumber" name="L108" href="#L108">108</a>         <em class="jxr_comment">// Now theta &gt;= 1.</em>
-<a class="jxr_linenumber" name="L109" href="#L109">109</a> 
-<a class="jxr_linenumber" name="L110" href="#L110">110</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> d = theta - 0.333333333333333333;
-<a class="jxr_linenumber" name="L111" href="#L111">111</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> c = 1 / (3 * Math.sqrt(d));
-<a class="jxr_linenumber" name="L112" href="#L112">112</a> 
-<a class="jxr_linenumber" name="L113" href="#L113">113</a>         <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
-<a class="jxr_linenumber" name="L114" href="#L114">114</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x = gaussian.sample();
-<a class="jxr_linenumber" name="L115" href="#L115">115</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> v = (1 + c * x) * (1 + c * x) * (1 + c * x);
-<a class="jxr_linenumber" name="L116" href="#L116">116</a> 
-<a class="jxr_linenumber" name="L117" href="#L117">117</a>             <strong class="jxr_keyword">if</strong> (v &lt;= 0) {
-<a class="jxr_linenumber" name="L118" href="#L118">118</a>                 <strong class="jxr_keyword">continue</strong>;
-<a class="jxr_linenumber" name="L119" href="#L119">119</a>             }
-<a class="jxr_linenumber" name="L120" href="#L120">120</a> 
-<a class="jxr_linenumber" name="L121" href="#L121">121</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x2 = x * x;
-<a class="jxr_linenumber" name="L122" href="#L122">122</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u = nextDouble();
-<a class="jxr_linenumber" name="L123" href="#L123">123</a> 
-<a class="jxr_linenumber" name="L124" href="#L124">124</a>             <em class="jxr_comment">// Squeeze.</em>
-<a class="jxr_linenumber" name="L125" href="#L125">125</a>             <strong class="jxr_keyword">if</strong> (u &lt; 1 - 0.0331 * x2 * x2) {
-<a class="jxr_linenumber" name="L126" href="#L126">126</a>                 <strong class="jxr_keyword">return</strong> alpha * d * v;
-<a class="jxr_linenumber" name="L127" href="#L127">127</a>             }
-<a class="jxr_linenumber" name="L128" href="#L128">128</a> 
-<a class="jxr_linenumber" name="L129" href="#L129">129</a>             <strong class="jxr_keyword">if</strong> (Math.log(u) &lt; 0.5 * x2 + d * (1 - v + Math.log(v))) {
-<a class="jxr_linenumber" name="L130" href="#L130">130</a>                 <strong class="jxr_keyword">return</strong> alpha * d * v;
-<a class="jxr_linenumber" name="L131" href="#L131">131</a>             }
-<a class="jxr_linenumber" name="L132" href="#L132">132</a>         }
-<a class="jxr_linenumber" name="L133" href="#L133">133</a>     }
-<a class="jxr_linenumber" name="L134" href="#L134">134</a> 
-<a class="jxr_linenumber" name="L135" href="#L135">135</a>     <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L136" href="#L136">136</a>     @Override
-<a class="jxr_linenumber" name="L137" href="#L137">137</a>     <strong class="jxr_keyword">public</strong> String toString() {
-<a class="jxr_linenumber" name="L138" href="#L138">138</a>         <strong class="jxr_keyword">return</strong> <span class="jxr_string">"Ahrens-Dieter-Marsaglia-Tsang Gamma deviate ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
-<a class="jxr_linenumber" name="L139" href="#L139">139</a>     }
-<a class="jxr_linenumber" name="L140" href="#L140">140</a> }
+<a class="jxr_linenumber" name="L108" href="#L108">108</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> d = theta - 0.333333333333333333;
+<a class="jxr_linenumber" name="L109" href="#L109">109</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> c = 1 / (3 * Math.sqrt(d));
+<a class="jxr_linenumber" name="L110" href="#L110">110</a> 
+<a class="jxr_linenumber" name="L111" href="#L111">111</a>         <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
+<a class="jxr_linenumber" name="L112" href="#L112">112</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x = gaussian.sample();
+<a class="jxr_linenumber" name="L113" href="#L113">113</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> v = (1 + c * x) * (1 + c * x) * (1 + c * x);
+<a class="jxr_linenumber" name="L114" href="#L114">114</a> 
+<a class="jxr_linenumber" name="L115" href="#L115">115</a>             <strong class="jxr_keyword">if</strong> (v &lt;= 0) {
+<a class="jxr_linenumber" name="L116" href="#L116">116</a>                 <strong class="jxr_keyword">continue</strong>;
+<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>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x2 = x * x;
+<a class="jxr_linenumber" name="L120" href="#L120">120</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> u = nextDouble();
+<a class="jxr_linenumber" name="L121" href="#L121">121</a> 
+<a class="jxr_linenumber" name="L122" href="#L122">122</a>             <em class="jxr_comment">// Squeeze.</em>
+<a class="jxr_linenumber" name="L123" href="#L123">123</a>             <strong class="jxr_keyword">if</strong> (u &lt; 1 - 0.0331 * x2 * x2) {
+<a class="jxr_linenumber" name="L124" href="#L124">124</a>                 <strong class="jxr_keyword">return</strong> alpha * d * v;
+<a class="jxr_linenumber" name="L125" href="#L125">125</a>             }
+<a class="jxr_linenumber" name="L126" href="#L126">126</a> 
+<a class="jxr_linenumber" name="L127" href="#L127">127</a>             <strong class="jxr_keyword">if</strong> (Math.log(u) &lt; 0.5 * x2 + d * (1 - v + Math.log(v))) {
+<a class="jxr_linenumber" name="L128" href="#L128">128</a>                 <strong class="jxr_keyword">return</strong> alpha * d * v;
+<a class="jxr_linenumber" name="L129" href="#L129">129</a>             }
+<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> 
+<a class="jxr_linenumber" name="L133" href="#L133">133</a>     <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L134" href="#L134">134</a>     @Override
+<a class="jxr_linenumber" name="L135" href="#L135">135</a>     <strong class="jxr_keyword">public</strong> String toString() {
+<a class="jxr_linenumber" name="L136" href="#L136">136</a>         <strong class="jxr_keyword">return</strong> <span class="jxr_string">"Ahrens-Dieter-Marsaglia-Tsang Gamma deviate ["</span> + <strong class="jxr_keyword">super</strong>.toString() + <span class="jxr_string">"]"</span>;
+<a class="jxr_linenumber" name="L137" href="#L137">137</a>     }
+<a class="jxr_linenumber" name="L138" href="#L138">138</a> }
 </pre>
 <hr/>
 <div id="footer">Copyright &#169; 2016 <a href="https://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</div>

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--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/xref/org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.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;\( \inf_{x \in \mathcal{R}} P(X \le x) \ge p \) 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;\( \inf_{x \in \mathcal{R}} P(X \le x) &gt; 0   \) for \( p = 0 \)&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <em class="jxr_javadoccomment">     *  &lt;li&gt;\( \inf_{x \in \mathcal{R}} P(X \le x) \ge p \) 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;\( \inf_{x \in \mathcal{R}} P(X \le x) \gt 0 \) 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>



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