commons-notifications mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From l..@apache.org
Subject svn commit: r959803 [27/32] - in /websites/production/commons/content/proper/commons-math: jacoco/ jacoco/org.apache.commons.math3.fraction/ jacoco/org.apache.commons.math3.genetics/ jacoco/org.apache.commons.math3.geometry.euclidean.threed/ jacoco/org...
Date Mon, 27 Jul 2015 19:42:10 GMT
Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html (original)
+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html Mon Jul 27 19:42:09 2015
@@ -31,373 +31,409 @@
 <a class="jxr_linenumber" name="L23" href="#L23">23</a>  <strong class="jxr_keyword">import</strong> java.util.HashSet;
 <a class="jxr_linenumber" name="L24" href="#L24">24</a>  <strong class="jxr_keyword">import</strong> java.util.Collection;
 <a class="jxr_linenumber" name="L25" href="#L25">25</a>  <strong class="jxr_keyword">import</strong> java.util.Iterator;
-<a class="jxr_linenumber" name="L26" href="#L26">26</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.Neuron;
-<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.Network;
-<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.FeatureInitializer;
-<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory;
-<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.distance.DistanceMeasure;
-<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.distance.EuclideanDistance;
-<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.oned.NeuronString;
-<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.RandomGenerator;
-<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.Well44497b;
-<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.MathUnsupportedOperationException;
-<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.util.FastMath;
-<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.UnivariateFunction;
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.FunctionUtils;
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.function.HarmonicOscillator;
-<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.function.Constant;
-<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.RealDistribution;
-<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.UniformRealDistribution;
-<a class="jxr_linenumber" name="L43" href="#L43">43</a>  
-<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment"> * Solves the "Travelling Salesman's Problem" (i.e. trying to find the</em>
-<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <em class="jxr_javadoccomment"> * sequence of cities that minimizes the travel distance) using a 1D</em>
-<a class="jxr_linenumber" name="L47" href="#L47">47</a>  <em class="jxr_javadoccomment"> * SOFM.</em>
-<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">TravellingSalesmanSolver</a> {
-<a class="jxr_linenumber" name="L50" href="#L50">50</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> FIRST_NEURON_ID = 0;
-<a class="jxr_linenumber" name="L51" href="#L51">51</a>      <em class="jxr_javadoccomment">/** RNG. */</em>
-<a class="jxr_linenumber" name="L52" href="#L52">52</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> RandomGenerator random;
-<a class="jxr_linenumber" name="L53" href="#L53">53</a>      <em class="jxr_javadoccomment">/** Set of cities. */</em>
-<a class="jxr_linenumber" name="L54" href="#L54">54</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> Set&lt;City&gt; cities = <strong class="jxr_keyword">new</strong> HashSet&lt;City&gt;();
-<a class="jxr_linenumber" name="L55" href="#L55">55</a>      <em class="jxr_javadoccomment">/** SOFM. */</em>
-<a class="jxr_linenumber" name="L56" href="#L56">56</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> Network net;
-<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <em class="jxr_javadoccomment">/** Distance function. */</em>
-<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> DistanceMeasure distance = <strong class="jxr_keyword">new</strong> EuclideanDistance();
-<a class="jxr_linenumber" name="L59" href="#L59">59</a>      <em class="jxr_javadoccomment">/** Total number of neurons. */</em>
-<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> numberOfNeurons;
-<a class="jxr_linenumber" name="L61" href="#L61">61</a>  
-<a class="jxr_linenumber" name="L62" href="#L62">62</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L63" href="#L63">63</a>  <em class="jxr_javadoccomment">     * @param cityList List of cities to visit in a single travel.</em>
-<a class="jxr_linenumber" name="L64" href="#L64">64</a>  <em class="jxr_javadoccomment">     * @param numNeuronsPerCity Number of neurons per city.</em>
-<a class="jxr_linenumber" name="L65" href="#L65">65</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L66" href="#L66">66</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">TravellingSalesmanSolver</a>(<a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] cityList,
-<a class="jxr_linenumber" name="L67" href="#L67">67</a>                                      <strong class="jxr_keyword">double</strong> numNeuronsPerCity) {
-<a class="jxr_linenumber" name="L68" href="#L68">68</a>          <strong class="jxr_keyword">this</strong>(cityList, numNeuronsPerCity, <strong class="jxr_keyword">new</strong> Well44497b().nextLong());
-<a class="jxr_linenumber" name="L69" href="#L69">69</a>      }
-<a class="jxr_linenumber" name="L70" href="#L70">70</a>  
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>  <em class="jxr_javadoccomment">     * @param cityList List of cities to visit in a single travel.</em>
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>  <em class="jxr_javadoccomment">     * @param numNeuronsPerCity Number of neurons per city.</em>
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>  <em class="jxr_javadoccomment">     * @param seed Seed for the RNG that is used to present the samples</em>
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>  <em class="jxr_javadoccomment">     * to the trainer.</em>
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">TravellingSalesmanSolver</a>(<a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] cityList,
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>                                      <strong class="jxr_keyword">double</strong> numNeuronsPerCity,
-<a class="jxr_linenumber" name="L79" href="#L79">79</a>                                      <strong class="jxr_keyword">long</strong> seed) {
-<a class="jxr_linenumber" name="L80" href="#L80">80</a>          random = <strong class="jxr_keyword">new</strong> Well44497b(seed);
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>  
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>          <em class="jxr_comment">// Make sure that each city will appear only once in the list.</em>
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>          <strong class="jxr_keyword">for</strong> (City city : cityList) {
-<a class="jxr_linenumber" name="L84" href="#L84">84</a>              cities.add(city);
-<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_comment">// Total number of neurons.</em>
-<a class="jxr_linenumber" name="L88" href="#L88">88</a>          numberOfNeurons = (<strong class="jxr_keyword">int</strong>) numNeuronsPerCity * cities.size();
-<a class="jxr_linenumber" name="L89" href="#L89">89</a>  
-<a class="jxr_linenumber" name="L90" href="#L90">90</a>          <em class="jxr_comment">// Create a network with circle topology.</em>
-<a class="jxr_linenumber" name="L91" href="#L91">91</a>          net = <strong class="jxr_keyword">new</strong> NeuronString(numberOfNeurons, <strong class="jxr_keyword">true</strong>, makeInitializers()).getNetwork();
-<a class="jxr_linenumber" name="L92" href="#L92">92</a>      }
+<a class="jxr_linenumber" name="L26" href="#L26">26</a>  
+<a class="jxr_linenumber" name="L27" href="#L27">27</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.FunctionUtils;
+<a class="jxr_linenumber" name="L28" href="#L28">28</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.UnivariateFunction;
+<a class="jxr_linenumber" name="L29" href="#L29">29</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.function.Constant;
+<a class="jxr_linenumber" name="L30" href="#L30">30</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.function.HarmonicOscillator;
+<a class="jxr_linenumber" name="L31" href="#L31">31</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.RealDistribution;
+<a class="jxr_linenumber" name="L32" href="#L32">32</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.UniformRealDistribution;
+<a class="jxr_linenumber" name="L33" href="#L33">33</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.MathUnsupportedOperationException;
+<a class="jxr_linenumber" name="L34" href="#L34">34</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.distance.DistanceMeasure;
+<a class="jxr_linenumber" name="L35" href="#L35">35</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.distance.EuclideanDistance;
+<a class="jxr_linenumber" name="L36" href="#L36">36</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.FeatureInitializer;
+<a class="jxr_linenumber" name="L37" href="#L37">37</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory;
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.Network;
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.Neuron;
+<a class="jxr_linenumber" name="L40" href="#L40">40</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.oned.NeuronString;
+<a class="jxr_linenumber" name="L41" href="#L41">41</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask;
+<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction;
+<a class="jxr_linenumber" name="L43" href="#L43">43</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunction;
+<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory;
+<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunction;
+<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory;
+<a class="jxr_linenumber" name="L47" href="#L47">47</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.RandomGenerator;
+<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.Well44497b;
+<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.util.FastMath;
+<a class="jxr_linenumber" name="L50" href="#L50">50</a>  
+<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment"> * Solves the "Travelling Salesman's Problem" (i.e. trying to find the</em>
+<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment"> * sequence of cities that minimizes the travel distance) using a 1D</em>
+<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <em class="jxr_javadoccomment"> * SOFM.</em>
+<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="L56" href="#L56">56</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">TravellingSalesmanSolver</a> {
+<a class="jxr_linenumber" name="L57" href="#L57">57</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> FIRST_NEURON_ID = 0;
+<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <em class="jxr_javadoccomment">/** RNG. */</em>
+<a class="jxr_linenumber" name="L59" href="#L59">59</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> RandomGenerator random;
+<a class="jxr_linenumber" name="L60" href="#L60">60</a>      <em class="jxr_javadoccomment">/** Set of cities. */</em>
+<a class="jxr_linenumber" name="L61" href="#L61">61</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> Set&lt;City&gt; cities = <strong class="jxr_keyword">new</strong> HashSet&lt;City&gt;();
+<a class="jxr_linenumber" name="L62" href="#L62">62</a>      <em class="jxr_javadoccomment">/** SOFM. */</em>
+<a class="jxr_linenumber" name="L63" href="#L63">63</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> Network net;
+<a class="jxr_linenumber" name="L64" href="#L64">64</a>      <em class="jxr_javadoccomment">/** Distance function. */</em>
+<a class="jxr_linenumber" name="L65" href="#L65">65</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> DistanceMeasure distance = <strong class="jxr_keyword">new</strong> EuclideanDistance();
+<a class="jxr_linenumber" name="L66" href="#L66">66</a>      <em class="jxr_javadoccomment">/** Total number of neurons. */</em>
+<a class="jxr_linenumber" name="L67" href="#L67">67</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> numberOfNeurons;
+<a class="jxr_linenumber" name="L68" href="#L68">68</a>  
+<a class="jxr_linenumber" name="L69" href="#L69">69</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>  <em class="jxr_javadoccomment">     * @param cityList List of cities to visit in a single travel.</em>
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>  <em class="jxr_javadoccomment">     * @param numNeuronsPerCity Number of neurons per city.</em>
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L73" href="#L73">73</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">TravellingSalesmanSolver</a>(<a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] cityList,
+<a class="jxr_linenumber" name="L74" href="#L74">74</a>                                      <strong class="jxr_keyword">double</strong> numNeuronsPerCity) {
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>          <strong class="jxr_keyword">this</strong>(cityList, numNeuronsPerCity, <strong class="jxr_keyword">new</strong> Well44497b().nextLong());
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>      }
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>  
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>  <em class="jxr_javadoccomment">     * @param cityList List of cities to visit in a single travel.</em>
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>  <em class="jxr_javadoccomment">     * @param numNeuronsPerCity Number of neurons per city.</em>
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>  <em class="jxr_javadoccomment">     * @param seed Seed for the RNG that is used to present the samples</em>
+<a class="jxr_linenumber" name="L82" href="#L82">82</a>  <em class="jxr_javadoccomment">     * to the trainer.</em>
+<a class="jxr_linenumber" name="L83" href="#L83">83</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L84" href="#L84">84</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">TravellingSalesmanSolver</a>(<a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] cityList,
+<a class="jxr_linenumber" name="L85" href="#L85">85</a>                                      <strong class="jxr_keyword">double</strong> numNeuronsPerCity,
+<a class="jxr_linenumber" name="L86" href="#L86">86</a>                                      <strong class="jxr_keyword">long</strong> seed) {
+<a class="jxr_linenumber" name="L87" href="#L87">87</a>          random = <strong class="jxr_keyword">new</strong> Well44497b(seed);
+<a class="jxr_linenumber" name="L88" href="#L88">88</a>  
+<a class="jxr_linenumber" name="L89" href="#L89">89</a>          <em class="jxr_comment">// Make sure that each city will appear only once in the list.</em>
+<a class="jxr_linenumber" name="L90" href="#L90">90</a>          <strong class="jxr_keyword">for</strong> (City city : cityList) {
+<a class="jxr_linenumber" name="L91" href="#L91">91</a>              cities.add(city);
+<a class="jxr_linenumber" name="L92" href="#L92">92</a>          }
 <a class="jxr_linenumber" name="L93" href="#L93">93</a>  
-<a class="jxr_linenumber" name="L94" href="#L94">94</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L95" href="#L95">95</a>  <em class="jxr_javadoccomment">     * Creates training tasks.</em>
-<a class="jxr_linenumber" name="L96" href="#L96">96</a>  <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L97" href="#L97">97</a>  <em class="jxr_javadoccomment">     * @param numTasks Number of tasks to create.</em>
-<a class="jxr_linenumber" name="L98" href="#L98">98</a>  <em class="jxr_javadoccomment">     * @param numSamplesPerTask Number of training samples per task.</em>
-<a class="jxr_linenumber" name="L99" href="#L99">99</a>  <em class="jxr_javadoccomment">     * @return the created tasks.</em>
-<a class="jxr_linenumber" name="L100" href="#L100">100</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L101" href="#L101">101</a>     <strong class="jxr_keyword">public</strong> Runnable[] createParallelTasks(<strong class="jxr_keyword">int</strong> numTasks,
-<a class="jxr_linenumber" name="L102" href="#L102">102</a>                                           <strong class="jxr_keyword">long</strong> numSamplesPerTask) {
-<a class="jxr_linenumber" name="L103" href="#L103">103</a>         <strong class="jxr_keyword">final</strong> Runnable[] tasks = <strong class="jxr_keyword">new</strong> Runnable[numTasks];
-<a class="jxr_linenumber" name="L104" href="#L104">104</a>         <strong class="jxr_keyword">final</strong> LearningFactorFunction learning
-<a class="jxr_linenumber" name="L105" href="#L105">105</a>             = LearningFactorFunctionFactory.exponentialDecay(2e-1,
-<a class="jxr_linenumber" name="L106" href="#L106">106</a>                                                              5e-2,
-<a class="jxr_linenumber" name="L107" href="#L107">107</a>                                                              numSamplesPerTask / 2);
-<a class="jxr_linenumber" name="L108" href="#L108">108</a>         <strong class="jxr_keyword">final</strong> NeighbourhoodSizeFunction neighbourhood
-<a class="jxr_linenumber" name="L109" href="#L109">109</a>             = NeighbourhoodSizeFunctionFactory.exponentialDecay(0.5 * numberOfNeurons,
-<a class="jxr_linenumber" name="L110" href="#L110">110</a>                                                                 0.1 * numberOfNeurons,
-<a class="jxr_linenumber" name="L111" href="#L111">111</a>                                                                 numSamplesPerTask / 2);
-<a class="jxr_linenumber" name="L112" href="#L112">112</a> 
-<a class="jxr_linenumber" name="L113" href="#L113">113</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; numTasks; i++) {
-<a class="jxr_linenumber" name="L114" href="#L114">114</a>             <strong class="jxr_keyword">final</strong> KohonenUpdateAction action = <strong class="jxr_keyword">new</strong> KohonenUpdateAction(distance,
-<a class="jxr_linenumber" name="L115" href="#L115">115</a>                                                                        learning,
-<a class="jxr_linenumber" name="L116" href="#L116">116</a>                                                                        neighbourhood);
-<a class="jxr_linenumber" name="L117" href="#L117">117</a>             tasks[i] = <strong class="jxr_keyword">new</strong> KohonenTrainingTask(net,
-<a class="jxr_linenumber" name="L118" href="#L118">118</a>                                                createRandomIterator(numSamplesPerTask),
-<a class="jxr_linenumber" name="L119" href="#L119">119</a>                                                action);
-<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>         <strong class="jxr_keyword">return</strong> tasks;
-<a class="jxr_linenumber" name="L123" href="#L123">123</a>     }
-<a class="jxr_linenumber" name="L124" href="#L124">124</a> 
-<a class="jxr_linenumber" name="L125" href="#L125">125</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L126" href="#L126">126</a> <em class="jxr_javadoccomment">     * Creates a training task.</em>
-<a class="jxr_linenumber" name="L127" href="#L127">127</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L128" href="#L128">128</a> <em class="jxr_javadoccomment">     * @param numSamples Number of training samples.</em>
-<a class="jxr_linenumber" name="L129" href="#L129">129</a> <em class="jxr_javadoccomment">     * @return the created task.</em>
-<a class="jxr_linenumber" name="L130" href="#L130">130</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L131" href="#L131">131</a>     <strong class="jxr_keyword">public</strong> Runnable createSequentialTask(<strong class="jxr_keyword">long</strong> numSamples) {
-<a class="jxr_linenumber" name="L132" href="#L132">132</a>         <strong class="jxr_keyword">return</strong> createParallelTasks(1, numSamples)[0];
-<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">/**</em>
-<a class="jxr_linenumber" name="L136" href="#L136">136</a> <em class="jxr_javadoccomment">     * Creates an iterator that will present a series of city's coordinates in</em>
-<a class="jxr_linenumber" name="L137" href="#L137">137</a> <em class="jxr_javadoccomment">     * a random order.</em>
-<a class="jxr_linenumber" name="L138" href="#L138">138</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L139" href="#L139">139</a> <em class="jxr_javadoccomment">     * @param numSamples Number of samples.</em>
-<a class="jxr_linenumber" name="L140" href="#L140">140</a> <em class="jxr_javadoccomment">     * @return the iterator.</em>
-<a class="jxr_linenumber" name="L141" href="#L141">141</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L142" href="#L142">142</a>     <strong class="jxr_keyword">private</strong> Iterator&lt;<strong class="jxr_keyword">double</strong>[]&gt; createRandomIterator(<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> numSamples) {
-<a class="jxr_linenumber" name="L143" href="#L143">143</a>         <strong class="jxr_keyword">final</strong> List&lt;City&gt; cityList = <strong class="jxr_keyword">new</strong> ArrayList&lt;City&gt;();
-<a class="jxr_linenumber" name="L144" href="#L144">144</a>         cityList.addAll(cities);
-<a class="jxr_linenumber" name="L145" href="#L145">145</a> 
-<a class="jxr_linenumber" name="L146" href="#L146">146</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> Iterator&lt;<strong class="jxr_keyword">double</strong>[]&gt;() {
-<a class="jxr_linenumber" name="L147" href="#L147">147</a>             <em class="jxr_javadoccomment">/** Number of samples. */</em>
-<a class="jxr_linenumber" name="L148" href="#L148">148</a>             <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">long</strong> n = 0;
-<a class="jxr_linenumber" name="L149" href="#L149">149</a>             <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L150" href="#L150">150</a>             <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">boolean</strong> hasNext() {
-<a class="jxr_linenumber" name="L151" href="#L151">151</a>                 <strong class="jxr_keyword">return</strong> n &lt; numSamples;
-<a class="jxr_linenumber" name="L152" href="#L152">152</a>             }
-<a class="jxr_linenumber" name="L153" href="#L153">153</a>             <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L154" href="#L154">154</a>             <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] next() {
-<a class="jxr_linenumber" name="L155" href="#L155">155</a>                 ++n;
-<a class="jxr_linenumber" name="L156" href="#L156">156</a>                 <strong class="jxr_keyword">return</strong> cityList.get(random.nextInt(cityList.size())).getCoordinates();
-<a class="jxr_linenumber" name="L157" href="#L157">157</a>             }
-<a class="jxr_linenumber" name="L158" href="#L158">158</a>             <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L159" href="#L159">159</a>             <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> remove() {
-<a class="jxr_linenumber" name="L160" href="#L160">160</a>                 <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> MathUnsupportedOperationException();
-<a class="jxr_linenumber" name="L161" href="#L161">161</a>             }
-<a class="jxr_linenumber" name="L162" href="#L162">162</a>         };
-<a class="jxr_linenumber" name="L163" href="#L163">163</a>     }
-<a class="jxr_linenumber" name="L164" href="#L164">164</a> 
-<a class="jxr_linenumber" name="L165" href="#L165">165</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L166" href="#L166">166</a> <em class="jxr_javadoccomment">     * @return the list of linked neurons (i.e. the one-dimensional</em>
-<a class="jxr_linenumber" name="L167" href="#L167">167</a> <em class="jxr_javadoccomment">     * SOFM).</em>
-<a class="jxr_linenumber" name="L168" href="#L168">168</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L169" href="#L169">169</a>     <strong class="jxr_keyword">private</strong> List&lt;Neuron&gt; getNeuronList() {
-<a class="jxr_linenumber" name="L170" href="#L170">170</a>         <em class="jxr_comment">// Sequence of coordinates.</em>
-<a class="jxr_linenumber" name="L171" href="#L171">171</a>         <strong class="jxr_keyword">final</strong> List&lt;Neuron&gt; list = <strong class="jxr_keyword">new</strong> ArrayList&lt;Neuron&gt;();
-<a class="jxr_linenumber" name="L172" href="#L172">172</a> 
-<a class="jxr_linenumber" name="L173" href="#L173">173</a>         <em class="jxr_comment">// First neuron.</em>
-<a class="jxr_linenumber" name="L174" href="#L174">174</a>         Neuron current = net.getNeuron(FIRST_NEURON_ID);
-<a class="jxr_linenumber" name="L175" href="#L175">175</a>         <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
-<a class="jxr_linenumber" name="L176" href="#L176">176</a>             list.add(current);
-<a class="jxr_linenumber" name="L177" href="#L177">177</a>             <strong class="jxr_keyword">final</strong> Collection&lt;Neuron&gt; neighbours
-<a class="jxr_linenumber" name="L178" href="#L178">178</a>                 = net.getNeighbours(current, list);
-<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> Iterator&lt;Neuron&gt; iter = neighbours.iterator();
-<a class="jxr_linenumber" name="L181" href="#L181">181</a>             <strong class="jxr_keyword">if</strong> (!iter.hasNext()) {
-<a class="jxr_linenumber" name="L182" href="#L182">182</a>                 <em class="jxr_comment">// All neurons have been visited.</em>
-<a class="jxr_linenumber" name="L183" href="#L183">183</a>                 <strong class="jxr_keyword">break</strong>;
-<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>             current = iter.next();
-<a class="jxr_linenumber" name="L187" href="#L187">187</a>         }
-<a class="jxr_linenumber" name="L188" href="#L188">188</a> 
-<a class="jxr_linenumber" name="L189" href="#L189">189</a>         <strong class="jxr_keyword">return</strong> list;
-<a class="jxr_linenumber" name="L190" href="#L190">190</a>     }
-<a class="jxr_linenumber" name="L191" href="#L191">191</a> 
-<a class="jxr_linenumber" name="L192" href="#L192">192</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L193" href="#L193">193</a> <em class="jxr_javadoccomment">     * @return the list of features (coordinates) of linked neurons.</em>
-<a class="jxr_linenumber" name="L194" href="#L194">194</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L195" href="#L195">195</a>     <strong class="jxr_keyword">public</strong> List&lt;<strong class="jxr_keyword">double</strong>[]&gt; getCoordinatesList() {
-<a class="jxr_linenumber" name="L196" href="#L196">196</a>         <em class="jxr_comment">// Sequence of coordinates.</em>
-<a class="jxr_linenumber" name="L197" href="#L197">197</a>         <strong class="jxr_keyword">final</strong> List&lt;<strong class="jxr_keyword">double</strong>[]&gt; coordinatesList = <strong class="jxr_keyword">new</strong> ArrayList&lt;<strong class="jxr_keyword">double</strong>[]&gt;();
-<a class="jxr_linenumber" name="L198" href="#L198">198</a> 
-<a class="jxr_linenumber" name="L199" href="#L199">199</a>         <strong class="jxr_keyword">for</strong> (Neuron n : getNeuronList()) {
-<a class="jxr_linenumber" name="L200" href="#L200">200</a>             coordinatesList.add(n.getFeatures());
-<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>         <strong class="jxr_keyword">return</strong> coordinatesList;
-<a class="jxr_linenumber" name="L204" href="#L204">204</a>     }
-<a class="jxr_linenumber" name="L205" href="#L205">205</a> 
-<a class="jxr_linenumber" name="L206" href="#L206">206</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L207" href="#L207">207</a> <em class="jxr_javadoccomment">     * Returns the travel proposed by the solver.</em>
-<a class="jxr_linenumber" name="L208" href="#L208">208</a> <em class="jxr_javadoccomment">     * Note: cities can be missing or duplicated.</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> <em class="jxr_javadoccomment">     * @return the list of cities in travel order.</em>
-<a class="jxr_linenumber" name="L211" href="#L211">211</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L212" href="#L212">212</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] getCityList() {
-<a class="jxr_linenumber" name="L213" href="#L213">213</a>         <strong class="jxr_keyword">final</strong> List&lt;<strong class="jxr_keyword">double</strong>[]&gt; coord = getCoordinatesList();
-<a class="jxr_linenumber" name="L214" href="#L214">214</a>         <strong class="jxr_keyword">final</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] cityList = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[coord.size()];
-<a class="jxr_linenumber" name="L215" href="#L215">215</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; cityList.length; i++) {
-<a class="jxr_linenumber" name="L216" href="#L216">216</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] c = coord.get(i);
-<a class="jxr_linenumber" name="L217" href="#L217">217</a>             cityList[i] = getClosestCity(c[0], c[1]);
-<a class="jxr_linenumber" name="L218" href="#L218">218</a>         }
-<a class="jxr_linenumber" name="L219" href="#L219">219</a>         <strong class="jxr_keyword">return</strong> cityList;
-<a class="jxr_linenumber" name="L220" href="#L220">220</a>     }
+<a class="jxr_linenumber" name="L94" href="#L94">94</a>          <em class="jxr_comment">// Total number of neurons.</em>
+<a class="jxr_linenumber" name="L95" href="#L95">95</a>          numberOfNeurons = (<strong class="jxr_keyword">int</strong>) numNeuronsPerCity * cities.size();
+<a class="jxr_linenumber" name="L96" href="#L96">96</a>  
+<a class="jxr_linenumber" name="L97" href="#L97">97</a>          <em class="jxr_comment">// Create a network with circle topology.</em>
+<a class="jxr_linenumber" name="L98" href="#L98">98</a>          net = <strong class="jxr_keyword">new</strong> NeuronString(numberOfNeurons, <strong class="jxr_keyword">true</strong>, makeInitializers()).getNetwork();
+<a class="jxr_linenumber" name="L99" href="#L99">99</a>      }
+<a class="jxr_linenumber" name="L100" href="#L100">100</a> 
+<a class="jxr_linenumber" name="L101" href="#L101">101</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L102" href="#L102">102</a> <em class="jxr_javadoccomment">     * Creates training tasks.</em>
+<a class="jxr_linenumber" name="L103" href="#L103">103</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L104" href="#L104">104</a> <em class="jxr_javadoccomment">     * @param numTasks Number of tasks to create.</em>
+<a class="jxr_linenumber" name="L105" href="#L105">105</a> <em class="jxr_javadoccomment">     * @param numSamplesPerTask Number of training samples per task.</em>
+<a class="jxr_linenumber" name="L106" href="#L106">106</a> <em class="jxr_javadoccomment">     * @return the created tasks.</em>
+<a class="jxr_linenumber" name="L107" href="#L107">107</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L108" href="#L108">108</a>     <strong class="jxr_keyword">public</strong> Runnable[] createParallelTasks(<strong class="jxr_keyword">int</strong> numTasks,
+<a class="jxr_linenumber" name="L109" href="#L109">109</a>                                           <strong class="jxr_keyword">long</strong> numSamplesPerTask) {
+<a class="jxr_linenumber" name="L110" href="#L110">110</a>         <strong class="jxr_keyword">final</strong> Runnable[] tasks = <strong class="jxr_keyword">new</strong> Runnable[numTasks];
+<a class="jxr_linenumber" name="L111" href="#L111">111</a>         <strong class="jxr_keyword">final</strong> LearningFactorFunction learning
+<a class="jxr_linenumber" name="L112" href="#L112">112</a>             = LearningFactorFunctionFactory.exponentialDecay(2e-1,
+<a class="jxr_linenumber" name="L113" href="#L113">113</a>                                                              5e-2,
+<a class="jxr_linenumber" name="L114" href="#L114">114</a>                                                              numSamplesPerTask / 2);
+<a class="jxr_linenumber" name="L115" href="#L115">115</a>         <strong class="jxr_keyword">final</strong> NeighbourhoodSizeFunction neighbourhood
+<a class="jxr_linenumber" name="L116" href="#L116">116</a>             = NeighbourhoodSizeFunctionFactory.exponentialDecay(0.5 * numberOfNeurons,
+<a class="jxr_linenumber" name="L117" href="#L117">117</a>                                                                 0.1 * numberOfNeurons,
+<a class="jxr_linenumber" name="L118" href="#L118">118</a>                                                                 numSamplesPerTask / 2);
+<a class="jxr_linenumber" name="L119" href="#L119">119</a> 
+<a class="jxr_linenumber" name="L120" href="#L120">120</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; numTasks; i++) {
+<a class="jxr_linenumber" name="L121" href="#L121">121</a>             <strong class="jxr_keyword">final</strong> KohonenUpdateAction action = <strong class="jxr_keyword">new</strong> KohonenUpdateAction(distance,
+<a class="jxr_linenumber" name="L122" href="#L122">122</a>                                                                        learning,
+<a class="jxr_linenumber" name="L123" href="#L123">123</a>                                                                        neighbourhood);
+<a class="jxr_linenumber" name="L124" href="#L124">124</a>             tasks[i] = <strong class="jxr_keyword">new</strong> KohonenTrainingTask(net,
+<a class="jxr_linenumber" name="L125" href="#L125">125</a>                                                createRandomIterator(numSamplesPerTask),
+<a class="jxr_linenumber" name="L126" href="#L126">126</a>                                                action);
+<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">return</strong> tasks;
+<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">     * Creates a training task.</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> <em class="jxr_javadoccomment">     * @param numSamples Number of training samples.</em>
+<a class="jxr_linenumber" name="L136" href="#L136">136</a> <em class="jxr_javadoccomment">     * @return the created task.</em>
+<a class="jxr_linenumber" name="L137" href="#L137">137</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L138" href="#L138">138</a>     <strong class="jxr_keyword">public</strong> Runnable createSequentialTask(<strong class="jxr_keyword">long</strong> numSamples) {
+<a class="jxr_linenumber" name="L139" href="#L139">139</a>         <strong class="jxr_keyword">return</strong> createParallelTasks(1, numSamples)[0];
+<a class="jxr_linenumber" name="L140" href="#L140">140</a>     }
+<a class="jxr_linenumber" name="L141" href="#L141">141</a> 
+<a class="jxr_linenumber" name="L142" href="#L142">142</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L143" href="#L143">143</a> <em class="jxr_javadoccomment">     * Measures the network's concurrent update performance.</em>
+<a class="jxr_linenumber" name="L144" href="#L144">144</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L145" href="#L145">145</a> <em class="jxr_javadoccomment">     * @return the ratio between the number of succesful network updates</em>
+<a class="jxr_linenumber" name="L146" href="#L146">146</a> <em class="jxr_javadoccomment">     * and the number of update attempts.</em>
+<a class="jxr_linenumber" name="L147" href="#L147">147</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L148" href="#L148">148</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> getUpdateRatio() {
+<a class="jxr_linenumber" name="L149" href="#L149">149</a>         <strong class="jxr_keyword">return</strong> computeUpdateRatio(net);
+<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">     * Measures the network's concurrent update performance.</em>
+<a class="jxr_linenumber" name="L154" href="#L154">154</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L155" href="#L155">155</a> <em class="jxr_javadoccomment">     * @param net Network to be trained with the SOFM algorithm.</em>
+<a class="jxr_linenumber" name="L156" href="#L156">156</a> <em class="jxr_javadoccomment">     * @return the ratio between the number of successful network updates</em>
+<a class="jxr_linenumber" name="L157" href="#L157">157</a> <em class="jxr_javadoccomment">     * and the number of update attempts.</em>
+<a class="jxr_linenumber" name="L158" href="#L158">158</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L159" href="#L159">159</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong> computeUpdateRatio(Network net) {
+<a class="jxr_linenumber" name="L160" href="#L160">160</a>         <strong class="jxr_keyword">long</strong> numAttempts = 0;
+<a class="jxr_linenumber" name="L161" href="#L161">161</a>         <strong class="jxr_keyword">long</strong> numSuccesses = 0;
+<a class="jxr_linenumber" name="L162" href="#L162">162</a> 
+<a class="jxr_linenumber" name="L163" href="#L163">163</a>         <strong class="jxr_keyword">for</strong> (Neuron n : net) {
+<a class="jxr_linenumber" name="L164" href="#L164">164</a>             numAttempts += n.getNumberOfAttemptedUpdates();
+<a class="jxr_linenumber" name="L165" href="#L165">165</a>             numSuccesses += n.getNumberOfSuccessfulUpdates();
+<a class="jxr_linenumber" name="L166" href="#L166">166</a>         }
+<a class="jxr_linenumber" name="L167" href="#L167">167</a> 
+<a class="jxr_linenumber" name="L168" href="#L168">168</a>         <strong class="jxr_keyword">return</strong> (<strong class="jxr_keyword">double</strong>) numSuccesses / (<strong class="jxr_keyword">double</strong>) numAttempts;
+<a class="jxr_linenumber" name="L169" href="#L169">169</a>     }
+<a class="jxr_linenumber" name="L170" href="#L170">170</a> 
+<a class="jxr_linenumber" name="L171" href="#L171">171</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L172" href="#L172">172</a> <em class="jxr_javadoccomment">     * Creates an iterator that will present a series of city's coordinates in</em>
+<a class="jxr_linenumber" name="L173" href="#L173">173</a> <em class="jxr_javadoccomment">     * a random order.</em>
+<a class="jxr_linenumber" name="L174" href="#L174">174</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L175" href="#L175">175</a> <em class="jxr_javadoccomment">     * @param numSamples Number of samples.</em>
+<a class="jxr_linenumber" name="L176" href="#L176">176</a> <em class="jxr_javadoccomment">     * @return the iterator.</em>
+<a class="jxr_linenumber" name="L177" href="#L177">177</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L178" href="#L178">178</a>     <strong class="jxr_keyword">private</strong> Iterator&lt;<strong class="jxr_keyword">double</strong>[]&gt; createRandomIterator(<strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> numSamples) {
+<a class="jxr_linenumber" name="L179" href="#L179">179</a>         <strong class="jxr_keyword">final</strong> List&lt;City&gt; cityList = <strong class="jxr_keyword">new</strong> ArrayList&lt;City&gt;();
+<a class="jxr_linenumber" name="L180" href="#L180">180</a>         cityList.addAll(cities);
+<a class="jxr_linenumber" name="L181" href="#L181">181</a> 
+<a class="jxr_linenumber" name="L182" href="#L182">182</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> Iterator&lt;<strong class="jxr_keyword">double</strong>[]&gt;() {
+<a class="jxr_linenumber" name="L183" href="#L183">183</a>             <em class="jxr_javadoccomment">/** Number of samples. */</em>
+<a class="jxr_linenumber" name="L184" href="#L184">184</a>             <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">long</strong> n = 0;
+<a class="jxr_linenumber" name="L185" href="#L185">185</a>             <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L186" href="#L186">186</a>             <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">boolean</strong> hasNext() {
+<a class="jxr_linenumber" name="L187" href="#L187">187</a>                 <strong class="jxr_keyword">return</strong> n &lt; numSamples;
+<a class="jxr_linenumber" name="L188" href="#L188">188</a>             }
+<a class="jxr_linenumber" name="L189" href="#L189">189</a>             <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L190" href="#L190">190</a>             <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] next() {
+<a class="jxr_linenumber" name="L191" href="#L191">191</a>                 ++n;
+<a class="jxr_linenumber" name="L192" href="#L192">192</a>                 <strong class="jxr_keyword">return</strong> cityList.get(random.nextInt(cityList.size())).getCoordinates();
+<a class="jxr_linenumber" name="L193" href="#L193">193</a>             }
+<a class="jxr_linenumber" name="L194" href="#L194">194</a>             <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
+<a class="jxr_linenumber" name="L195" href="#L195">195</a>             <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> remove() {
+<a class="jxr_linenumber" name="L196" href="#L196">196</a>                 <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> MathUnsupportedOperationException();
+<a class="jxr_linenumber" name="L197" href="#L197">197</a>             }
+<a class="jxr_linenumber" name="L198" href="#L198">198</a>         };
+<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>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L202" href="#L202">202</a> <em class="jxr_javadoccomment">     * @return the list of linked neurons (i.e. the one-dimensional</em>
+<a class="jxr_linenumber" name="L203" href="#L203">203</a> <em class="jxr_javadoccomment">     * SOFM).</em>
+<a class="jxr_linenumber" name="L204" href="#L204">204</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L205" href="#L205">205</a>     <strong class="jxr_keyword">private</strong> List&lt;Neuron&gt; getNeuronList() {
+<a class="jxr_linenumber" name="L206" href="#L206">206</a>         <em class="jxr_comment">// Sequence of coordinates.</em>
+<a class="jxr_linenumber" name="L207" href="#L207">207</a>         <strong class="jxr_keyword">final</strong> List&lt;Neuron&gt; list = <strong class="jxr_keyword">new</strong> ArrayList&lt;Neuron&gt;();
+<a class="jxr_linenumber" name="L208" href="#L208">208</a> 
+<a class="jxr_linenumber" name="L209" href="#L209">209</a>         <em class="jxr_comment">// First neuron.</em>
+<a class="jxr_linenumber" name="L210" href="#L210">210</a>         Neuron current = net.getNeuron(FIRST_NEURON_ID);
+<a class="jxr_linenumber" name="L211" href="#L211">211</a>         <strong class="jxr_keyword">while</strong> (<strong class="jxr_keyword">true</strong>) {
+<a class="jxr_linenumber" name="L212" href="#L212">212</a>             list.add(current);
+<a class="jxr_linenumber" name="L213" href="#L213">213</a>             <strong class="jxr_keyword">final</strong> Collection&lt;Neuron&gt; neighbours
+<a class="jxr_linenumber" name="L214" href="#L214">214</a>                 = net.getNeighbours(current, list);
+<a class="jxr_linenumber" name="L215" href="#L215">215</a> 
+<a class="jxr_linenumber" name="L216" href="#L216">216</a>             <strong class="jxr_keyword">final</strong> Iterator&lt;Neuron&gt; iter = neighbours.iterator();
+<a class="jxr_linenumber" name="L217" href="#L217">217</a>             <strong class="jxr_keyword">if</strong> (!iter.hasNext()) {
+<a class="jxr_linenumber" name="L218" href="#L218">218</a>                 <em class="jxr_comment">// All neurons have been visited.</em>
+<a class="jxr_linenumber" name="L219" href="#L219">219</a>                 <strong class="jxr_keyword">break</strong>;
+<a class="jxr_linenumber" name="L220" href="#L220">220</a>             }
 <a class="jxr_linenumber" name="L221" href="#L221">221</a> 
-<a class="jxr_linenumber" name="L222" href="#L222">222</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L223" href="#L223">223</a> <em class="jxr_javadoccomment">     * @param x x-coordinate.</em>
-<a class="jxr_linenumber" name="L224" href="#L224">224</a> <em class="jxr_javadoccomment">     * @param y y-coordinate.</em>
-<a class="jxr_linenumber" name="L225" href="#L225">225</a> <em class="jxr_javadoccomment">     * @return the city whose coordinates are closest to {@code (x, y)}.</em>
-<a class="jxr_linenumber" name="L226" href="#L226">226</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L227" href="#L227">227</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a> getClosestCity(<strong class="jxr_keyword">double</strong> x,
-<a class="jxr_linenumber" name="L228" href="#L228">228</a>                                <strong class="jxr_keyword">double</strong> y) {
-<a class="jxr_linenumber" name="L229" href="#L229">229</a>         <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a> closest = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="L230" href="#L230">230</a>         <strong class="jxr_keyword">double</strong> min = Double.POSITIVE_INFINITY;
-<a class="jxr_linenumber" name="L231" href="#L231">231</a>         <strong class="jxr_keyword">for</strong> (City c : cities) {
-<a class="jxr_linenumber" name="L232" href="#L232">232</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> d = c.distance(x, y);
-<a class="jxr_linenumber" name="L233" href="#L233">233</a>             <strong class="jxr_keyword">if</strong> (d &lt; min) {
-<a class="jxr_linenumber" name="L234" href="#L234">234</a>                 min = d;
-<a class="jxr_linenumber" name="L235" href="#L235">235</a>                 closest = c;
-<a class="jxr_linenumber" name="L236" href="#L236">236</a>             }
+<a class="jxr_linenumber" name="L222" href="#L222">222</a>             current = iter.next();
+<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>         <strong class="jxr_keyword">return</strong> list;
+<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">     * @return the list of features (coordinates) of linked neurons.</em>
+<a class="jxr_linenumber" name="L230" href="#L230">230</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L231" href="#L231">231</a>     <strong class="jxr_keyword">public</strong> List&lt;<strong class="jxr_keyword">double</strong>[]&gt; getCoordinatesList() {
+<a class="jxr_linenumber" name="L232" href="#L232">232</a>         <em class="jxr_comment">// Sequence of coordinates.</em>
+<a class="jxr_linenumber" name="L233" href="#L233">233</a>         <strong class="jxr_keyword">final</strong> List&lt;<strong class="jxr_keyword">double</strong>[]&gt; coordinatesList = <strong class="jxr_keyword">new</strong> ArrayList&lt;<strong class="jxr_keyword">double</strong>[]&gt;();
+<a class="jxr_linenumber" name="L234" href="#L234">234</a> 
+<a class="jxr_linenumber" name="L235" href="#L235">235</a>         <strong class="jxr_keyword">for</strong> (Neuron n : getNeuronList()) {
+<a class="jxr_linenumber" name="L236" href="#L236">236</a>             coordinatesList.add(n.getFeatures());
 <a class="jxr_linenumber" name="L237" href="#L237">237</a>         }
-<a class="jxr_linenumber" name="L238" href="#L238">238</a>         <strong class="jxr_keyword">return</strong> closest;
-<a class="jxr_linenumber" name="L239" href="#L239">239</a>     }
-<a class="jxr_linenumber" name="L240" href="#L240">240</a> 
-<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> <em class="jxr_javadoccomment">     * Computes the barycentre of all city locations.</em>
-<a class="jxr_linenumber" name="L243" href="#L243">243</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L244" href="#L244">244</a> <em class="jxr_javadoccomment">     * @param cities City list.</em>
-<a class="jxr_linenumber" name="L245" href="#L245">245</a> <em class="jxr_javadoccomment">     * @return the barycentre.</em>
-<a class="jxr_linenumber" name="L246" href="#L246">246</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L247" href="#L247">247</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] barycentre(Set&lt;City&gt; cities) {
-<a class="jxr_linenumber" name="L248" href="#L248">248</a>         <strong class="jxr_keyword">double</strong> xB = 0;
-<a class="jxr_linenumber" name="L249" href="#L249">249</a>         <strong class="jxr_keyword">double</strong> yB = 0;
-<a class="jxr_linenumber" name="L250" href="#L250">250</a> 
-<a class="jxr_linenumber" name="L251" href="#L251">251</a>         <strong class="jxr_keyword">int</strong> count = 0;
-<a class="jxr_linenumber" name="L252" href="#L252">252</a>         <strong class="jxr_keyword">for</strong> (City c : cities) {
-<a class="jxr_linenumber" name="L253" href="#L253">253</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] coord = c.getCoordinates();
-<a class="jxr_linenumber" name="L254" href="#L254">254</a>             xB += coord[0];
-<a class="jxr_linenumber" name="L255" href="#L255">255</a>             yB += coord[1];
-<a class="jxr_linenumber" name="L256" href="#L256">256</a> 
-<a class="jxr_linenumber" name="L257" href="#L257">257</a>             ++count;
-<a class="jxr_linenumber" name="L258" href="#L258">258</a>         }
-<a class="jxr_linenumber" name="L259" href="#L259">259</a> 
-<a class="jxr_linenumber" name="L260" href="#L260">260</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { xB / count, yB / count };
-<a class="jxr_linenumber" name="L261" href="#L261">261</a>     }
-<a class="jxr_linenumber" name="L262" href="#L262">262</a> 
-<a class="jxr_linenumber" name="L263" href="#L263">263</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L264" href="#L264">264</a> <em class="jxr_javadoccomment">     * Computes the largest distance between the point at coordinates</em>
-<a class="jxr_linenumber" name="L265" href="#L265">265</a> <em class="jxr_javadoccomment">     * {@code (x, y)} and any of the cities.</em>
-<a class="jxr_linenumber" name="L266" href="#L266">266</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L267" href="#L267">267</a> <em class="jxr_javadoccomment">     * @param x x-coodinate.</em>
-<a class="jxr_linenumber" name="L268" href="#L268">268</a> <em class="jxr_javadoccomment">     * @param y y-coodinate.</em>
-<a class="jxr_linenumber" name="L269" href="#L269">269</a> <em class="jxr_javadoccomment">     * @param cities City list.</em>
-<a class="jxr_linenumber" name="L270" href="#L270">270</a> <em class="jxr_javadoccomment">     * @return the largest distance.</em>
-<a class="jxr_linenumber" name="L271" href="#L271">271</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L272" href="#L272">272</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong> largestDistance(<strong class="jxr_keyword">double</strong> x,
-<a class="jxr_linenumber" name="L273" href="#L273">273</a>                                           <strong class="jxr_keyword">double</strong> y,
-<a class="jxr_linenumber" name="L274" href="#L274">274</a>                                           Set&lt;City&gt; cities) {
-<a class="jxr_linenumber" name="L275" href="#L275">275</a>         <strong class="jxr_keyword">double</strong> maxDist = 0;
-<a class="jxr_linenumber" name="L276" href="#L276">276</a>         <strong class="jxr_keyword">for</strong> (City c : cities) {
-<a class="jxr_linenumber" name="L277" href="#L277">277</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> dist = c.distance(x, y);
-<a class="jxr_linenumber" name="L278" href="#L278">278</a>             <strong class="jxr_keyword">if</strong> (dist &gt; maxDist) {
-<a class="jxr_linenumber" name="L279" href="#L279">279</a>                 maxDist = dist;
-<a class="jxr_linenumber" name="L280" href="#L280">280</a>             }
-<a class="jxr_linenumber" name="L281" href="#L281">281</a>         }
-<a class="jxr_linenumber" name="L282" href="#L282">282</a> 
-<a class="jxr_linenumber" name="L283" href="#L283">283</a>         <strong class="jxr_keyword">return</strong> maxDist;
-<a class="jxr_linenumber" name="L284" href="#L284">284</a>     }
-<a class="jxr_linenumber" name="L285" href="#L285">285</a> 
-<a class="jxr_linenumber" name="L286" href="#L286">286</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L287" href="#L287">287</a> <em class="jxr_javadoccomment">     * Creates the features' initializers: an approximate circle around the</em>
-<a class="jxr_linenumber" name="L288" href="#L288">288</a> <em class="jxr_javadoccomment">     * barycentre of the cities.</em>
-<a class="jxr_linenumber" name="L289" href="#L289">289</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L290" href="#L290">290</a> <em class="jxr_javadoccomment">     * @return an array containing the two initializers.</em>
-<a class="jxr_linenumber" name="L291" href="#L291">291</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L292" href="#L292">292</a>     <strong class="jxr_keyword">private</strong> FeatureInitializer[] makeInitializers() {
-<a class="jxr_linenumber" name="L293" href="#L293">293</a>         <em class="jxr_comment">// Barycentre.</em>
-<a class="jxr_linenumber" name="L294" href="#L294">294</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] centre = barycentre(cities);
-<a class="jxr_linenumber" name="L295" href="#L295">295</a>         <em class="jxr_comment">// Largest distance from centre.</em>
-<a class="jxr_linenumber" name="L296" href="#L296">296</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> radius = 0.5 * largestDistance(centre[0], centre[1], cities);
-<a class="jxr_linenumber" name="L297" href="#L297">297</a> 
-<a class="jxr_linenumber" name="L298" href="#L298">298</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> omega = 2 * Math.PI / numberOfNeurons;
-<a class="jxr_linenumber" name="L299" href="#L299">299</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction h1 = <strong class="jxr_keyword">new</strong> HarmonicOscillator(radius, omega, 0);
-<a class="jxr_linenumber" name="L300" href="#L300">300</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction h2 = <strong class="jxr_keyword">new</strong> HarmonicOscillator(radius, omega, 0.5 * Math.PI);
-<a class="jxr_linenumber" name="L301" href="#L301">301</a> 
-<a class="jxr_linenumber" name="L302" href="#L302">302</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction f1 = FunctionUtils.add(h1, <strong class="jxr_keyword">new</strong> Constant(centre[0]));
-<a class="jxr_linenumber" name="L303" href="#L303">303</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction f2 = FunctionUtils.add(h2, <strong class="jxr_keyword">new</strong> Constant(centre[1]));
-<a class="jxr_linenumber" name="L304" href="#L304">304</a> 
-<a class="jxr_linenumber" name="L305" href="#L305">305</a>         <strong class="jxr_keyword">final</strong> RealDistribution u
-<a class="jxr_linenumber" name="L306" href="#L306">306</a>             = <strong class="jxr_keyword">new</strong> UniformRealDistribution(random, -0.05 * radius, 0.05 * radius);
-<a class="jxr_linenumber" name="L307" href="#L307">307</a> 
-<a class="jxr_linenumber" name="L308" href="#L308">308</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> FeatureInitializer[] {
-<a class="jxr_linenumber" name="L309" href="#L309">309</a>             FeatureInitializerFactory.randomize(u, FeatureInitializerFactory.function(f1, 0, 1)),
-<a class="jxr_linenumber" name="L310" href="#L310">310</a>             FeatureInitializerFactory.randomize(u, FeatureInitializerFactory.function(f2, 0, 1))
-<a class="jxr_linenumber" name="L311" href="#L311">311</a>         };
-<a class="jxr_linenumber" name="L312" href="#L312">312</a>     }
-<a class="jxr_linenumber" name="L313" href="#L313">313</a> }
-<a class="jxr_linenumber" name="L314" href="#L314">314</a> 
-<a class="jxr_linenumber" name="L315" href="#L315">315</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L316" href="#L316">316</a> <em class="jxr_javadoccomment"> * A city, represented by a name and two-dimensional coordinates.</em>
-<a class="jxr_linenumber" name="L317" href="#L317">317</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="L318" href="#L318">318</a> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a> {
-<a class="jxr_linenumber" name="L319" href="#L319">319</a>     <em class="jxr_javadoccomment">/** Identifier. */</em>
-<a class="jxr_linenumber" name="L320" href="#L320">320</a>     <strong class="jxr_keyword">final</strong> String name;
-<a class="jxr_linenumber" name="L321" href="#L321">321</a>     <em class="jxr_javadoccomment">/** x-coordinate. */</em>
-<a class="jxr_linenumber" name="L322" href="#L322">322</a>     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> x;
-<a class="jxr_linenumber" name="L323" href="#L323">323</a>     <em class="jxr_javadoccomment">/** y-coordinate. */</em>
-<a class="jxr_linenumber" name="L324" href="#L324">324</a>     <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> y;
-<a class="jxr_linenumber" name="L325" href="#L325">325</a> 
-<a class="jxr_linenumber" name="L326" href="#L326">326</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L327" href="#L327">327</a> <em class="jxr_javadoccomment">     * @param name Name.</em>
-<a class="jxr_linenumber" name="L328" href="#L328">328</a> <em class="jxr_javadoccomment">     * @param x Cartesian x-coordinate.</em>
-<a class="jxr_linenumber" name="L329" href="#L329">329</a> <em class="jxr_javadoccomment">     * @param y Cartesian y-coordinate.</em>
-<a class="jxr_linenumber" name="L330" href="#L330">330</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L331" href="#L331">331</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>(String name,
-<a class="jxr_linenumber" name="L332" href="#L332">332</a>                 <strong class="jxr_keyword">double</strong> x,
-<a class="jxr_linenumber" name="L333" href="#L333">333</a>                 <strong class="jxr_keyword">double</strong> y) {
-<a class="jxr_linenumber" name="L334" href="#L334">334</a>         <strong class="jxr_keyword">this</strong>.name = name;
-<a class="jxr_linenumber" name="L335" href="#L335">335</a>         <strong class="jxr_keyword">this</strong>.x = x;
-<a class="jxr_linenumber" name="L336" href="#L336">336</a>         <strong class="jxr_keyword">this</strong>.y = y;
-<a class="jxr_linenumber" name="L337" href="#L337">337</a>     }
-<a class="jxr_linenumber" name="L338" href="#L338">338</a> 
-<a class="jxr_linenumber" name="L339" href="#L339">339</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L340" href="#L340">340</a> <em class="jxr_javadoccomment">     * @retun the name.</em>
-<a class="jxr_linenumber" name="L341" href="#L341">341</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L342" href="#L342">342</a>     <strong class="jxr_keyword">public</strong> String getName() {
-<a class="jxr_linenumber" name="L343" href="#L343">343</a>         <strong class="jxr_keyword">return</strong> name;
-<a class="jxr_linenumber" name="L344" href="#L344">344</a>     }
-<a class="jxr_linenumber" name="L345" href="#L345">345</a> 
-<a class="jxr_linenumber" name="L346" href="#L346">346</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L347" href="#L347">347</a> <em class="jxr_javadoccomment">     * @return the (x, y) coordinates.</em>
-<a class="jxr_linenumber" name="L348" href="#L348">348</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L349" href="#L349">349</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] getCoordinates() {
-<a class="jxr_linenumber" name="L350" href="#L350">350</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { x, y };
-<a class="jxr_linenumber" name="L351" href="#L351">351</a>     }
-<a class="jxr_linenumber" name="L352" href="#L352">352</a> 
-<a class="jxr_linenumber" name="L353" href="#L353">353</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L354" href="#L354">354</a> <em class="jxr_javadoccomment">     * Computes the distance between this city and</em>
-<a class="jxr_linenumber" name="L355" href="#L355">355</a> <em class="jxr_javadoccomment">     * the given point.</em>
-<a class="jxr_linenumber" name="L356" href="#L356">356</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L357" href="#L357">357</a> <em class="jxr_javadoccomment">     * @param x x-coodinate.</em>
-<a class="jxr_linenumber" name="L358" href="#L358">358</a> <em class="jxr_javadoccomment">     * @param y y-coodinate.</em>
-<a class="jxr_linenumber" name="L359" href="#L359">359</a> <em class="jxr_javadoccomment">     * @return the distance between {@code (x, y)} and this</em>
-<a class="jxr_linenumber" name="L360" href="#L360">360</a> <em class="jxr_javadoccomment">     * city.</em>
-<a class="jxr_linenumber" name="L361" href="#L361">361</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L362" href="#L362">362</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> distance(<strong class="jxr_keyword">double</strong> x,
-<a class="jxr_linenumber" name="L363" href="#L363">363</a>                            <strong class="jxr_keyword">double</strong> y) {
-<a class="jxr_linenumber" name="L364" href="#L364">364</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> xDiff = <strong class="jxr_keyword">this</strong>.x - x;
-<a class="jxr_linenumber" name="L365" href="#L365">365</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> yDiff = <strong class="jxr_keyword">this</strong>.y - y;
-<a class="jxr_linenumber" name="L366" href="#L366">366</a> 
-<a class="jxr_linenumber" name="L367" href="#L367">367</a>         <strong class="jxr_keyword">return</strong> FastMath.sqrt(xDiff * xDiff + yDiff * yDiff);
-<a class="jxr_linenumber" name="L368" href="#L368">368</a>     }
-<a class="jxr_linenumber" name="L369" href="#L369">369</a> 
-<a class="jxr_linenumber" name="L370" href="#L370">370</a>     <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L371" href="#L371">371</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">boolean</strong> equals(Object o) {
-<a class="jxr_linenumber" name="L372" href="#L372">372</a>         <strong class="jxr_keyword">if</strong> (o instanceof City) {
-<a class="jxr_linenumber" name="L373" href="#L373">373</a>             <strong class="jxr_keyword">final</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a> other = (City) o;
-<a class="jxr_linenumber" name="L374" href="#L374">374</a>             <strong class="jxr_keyword">return</strong> x == other.x &amp;&amp;
-<a class="jxr_linenumber" name="L375" href="#L375">375</a>                 y == other.y;
-<a class="jxr_linenumber" name="L376" href="#L376">376</a>         }
-<a class="jxr_linenumber" name="L377" href="#L377">377</a>         <strong class="jxr_keyword">return</strong> false;
-<a class="jxr_linenumber" name="L378" href="#L378">378</a>     }
-<a class="jxr_linenumber" name="L379" href="#L379">379</a> 
-<a class="jxr_linenumber" name="L380" href="#L380">380</a>     <em class="jxr_javadoccomment">/** {@inheritDoc} */</em>
-<a class="jxr_linenumber" name="L381" href="#L381">381</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> hashCode() {
-<a class="jxr_linenumber" name="L382" href="#L382">382</a>         <strong class="jxr_keyword">int</strong> result = 17;
-<a class="jxr_linenumber" name="L383" href="#L383">383</a> 
-<a class="jxr_linenumber" name="L384" href="#L384">384</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> c1 = Double.doubleToLongBits(x);
-<a class="jxr_linenumber" name="L385" href="#L385">385</a>         result = 31 * result + (<strong class="jxr_keyword">int</strong>) (c1 ^ (c1 &gt;&gt;&gt; 32));
-<a class="jxr_linenumber" name="L386" href="#L386">386</a> 
-<a class="jxr_linenumber" name="L387" href="#L387">387</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> c2 = Double.doubleToLongBits(y);
-<a class="jxr_linenumber" name="L388" href="#L388">388</a>         result = 31 * result + (<strong class="jxr_keyword">int</strong>) (c2 ^ (c2 &gt;&gt;&gt; 32));
-<a class="jxr_linenumber" name="L389" href="#L389">389</a> 
-<a class="jxr_linenumber" name="L390" href="#L390">390</a>         <strong class="jxr_keyword">return</strong> result;
-<a class="jxr_linenumber" name="L391" href="#L391">391</a>     }
-<a class="jxr_linenumber" name="L392" href="#L392">392</a> }
+<a class="jxr_linenumber" name="L238" href="#L238">238</a> 
+<a class="jxr_linenumber" name="L239" href="#L239">239</a>         <strong class="jxr_keyword">return</strong> coordinatesList;
+<a class="jxr_linenumber" name="L240" href="#L240">240</a>     }
+<a class="jxr_linenumber" name="L241" href="#L241">241</a> 
+<a class="jxr_linenumber" name="L242" href="#L242">242</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L243" href="#L243">243</a> <em class="jxr_javadoccomment">     * Returns the travel proposed by the solver.</em>
+<a class="jxr_linenumber" name="L244" href="#L244">244</a> <em class="jxr_javadoccomment">     * Note: cities can be missing or duplicated.</em>
+<a class="jxr_linenumber" name="L245" href="#L245">245</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L246" href="#L246">246</a> <em class="jxr_javadoccomment">     * @return the list of cities in travel order.</em>
+<a class="jxr_linenumber" name="L247" href="#L247">247</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L248" href="#L248">248</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] getCityList() {
+<a class="jxr_linenumber" name="L249" href="#L249">249</a>         <strong class="jxr_keyword">final</strong> List&lt;<strong class="jxr_keyword">double</strong>[]&gt; coord = getCoordinatesList();
+<a class="jxr_linenumber" name="L250" href="#L250">250</a>         <strong class="jxr_keyword">final</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[] cityList = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a>[coord.size()];
+<a class="jxr_linenumber" name="L251" href="#L251">251</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; cityList.length; i++) {
+<a class="jxr_linenumber" name="L252" href="#L252">252</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] c = coord.get(i);
+<a class="jxr_linenumber" name="L253" href="#L253">253</a>             cityList[i] = getClosestCity(c[0], c[1]);
+<a class="jxr_linenumber" name="L254" href="#L254">254</a>         }
+<a class="jxr_linenumber" name="L255" href="#L255">255</a>         <strong class="jxr_keyword">return</strong> cityList;
+<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>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L259" href="#L259">259</a> <em class="jxr_javadoccomment">     * @param x x-coordinate.</em>
+<a class="jxr_linenumber" name="L260" href="#L260">260</a> <em class="jxr_javadoccomment">     * @param y y-coordinate.</em>
+<a class="jxr_linenumber" name="L261" href="#L261">261</a> <em class="jxr_javadoccomment">     * @return the city whose coordinates are closest to {@code (x, y)}.</em>
+<a class="jxr_linenumber" name="L262" href="#L262">262</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L263" href="#L263">263</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a> getClosestCity(<strong class="jxr_keyword">double</strong> x,
+<a class="jxr_linenumber" name="L264" href="#L264">264</a>                                <strong class="jxr_keyword">double</strong> y) {
+<a class="jxr_linenumber" name="L265" href="#L265">265</a>         <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/sofm/TravellingSalesmanSolver.html">City</a> closest = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="L266" href="#L266">266</a>         <strong class="jxr_keyword">double</strong> min = Double.POSITIVE_INFINITY;
+<a class="jxr_linenumber" name="L267" href="#L267">267</a>         <strong class="jxr_keyword">for</strong> (City c : cities) {
+<a class="jxr_linenumber" name="L268" href="#L268">268</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> d = c.distance(x, y);
+<a class="jxr_linenumber" name="L269" href="#L269">269</a>             <strong class="jxr_keyword">if</strong> (d &lt; min) {
+<a class="jxr_linenumber" name="L270" href="#L270">270</a>                 min = d;
+<a class="jxr_linenumber" name="L271" href="#L271">271</a>                 closest = c;
+<a class="jxr_linenumber" name="L272" href="#L272">272</a>             }
+<a class="jxr_linenumber" name="L273" href="#L273">273</a>         }
+<a class="jxr_linenumber" name="L274" href="#L274">274</a>         <strong class="jxr_keyword">return</strong> closest;
+<a class="jxr_linenumber" name="L275" href="#L275">275</a>     }
+<a class="jxr_linenumber" name="L276" href="#L276">276</a> 
+<a class="jxr_linenumber" name="L277" href="#L277">277</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L278" href="#L278">278</a> <em class="jxr_javadoccomment">     * Computes the barycentre of all city locations.</em>
+<a class="jxr_linenumber" name="L279" href="#L279">279</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L280" href="#L280">280</a> <em class="jxr_javadoccomment">     * @param cities City list.</em>
+<a class="jxr_linenumber" name="L281" href="#L281">281</a> <em class="jxr_javadoccomment">     * @return the barycentre.</em>
+<a class="jxr_linenumber" name="L282" href="#L282">282</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L283" href="#L283">283</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] barycentre(Set&lt;City&gt; cities) {
+<a class="jxr_linenumber" name="L284" href="#L284">284</a>         <strong class="jxr_keyword">double</strong> xB = 0;
+<a class="jxr_linenumber" name="L285" href="#L285">285</a>         <strong class="jxr_keyword">double</strong> yB = 0;
+<a class="jxr_linenumber" name="L286" href="#L286">286</a> 
+<a class="jxr_linenumber" name="L287" href="#L287">287</a>         <strong class="jxr_keyword">int</strong> count = 0;
+<a class="jxr_linenumber" name="L288" href="#L288">288</a>         <strong class="jxr_keyword">for</strong> (City c : cities) {
+<a class="jxr_linenumber" name="L289" href="#L289">289</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] coord = c.getCoordinates();
+<a class="jxr_linenumber" name="L290" href="#L290">290</a>             xB += coord[0];
+<a class="jxr_linenumber" name="L291" href="#L291">291</a>             yB += coord[1];
+<a class="jxr_linenumber" name="L292" href="#L292">292</a> 
+<a class="jxr_linenumber" name="L293" href="#L293">293</a>             ++count;
+<a class="jxr_linenumber" name="L294" href="#L294">294</a>         }
+<a class="jxr_linenumber" name="L295" href="#L295">295</a> 
+<a class="jxr_linenumber" name="L296" href="#L296">296</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { xB / count, yB / count };
+<a class="jxr_linenumber" name="L297" href="#L297">297</a>     }
+<a class="jxr_linenumber" name="L298" href="#L298">298</a> 
+<a class="jxr_linenumber" name="L299" href="#L299">299</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L300" href="#L300">300</a> <em class="jxr_javadoccomment">     * Computes the largest distance between the point at coordinates</em>
+<a class="jxr_linenumber" name="L301" href="#L301">301</a> <em class="jxr_javadoccomment">     * {@code (x, y)} and any of the cities.</em>
+<a class="jxr_linenumber" name="L302" href="#L302">302</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L303" href="#L303">303</a> <em class="jxr_javadoccomment">     * @param x x-coodinate.</em>
+<a class="jxr_linenumber" name="L304" href="#L304">304</a> <em class="jxr_javadoccomment">     * @param y y-coodinate.</em>
+<a class="jxr_linenumber" name="L305" href="#L305">305</a> <em class="jxr_javadoccomment">     * @param cities City list.</em>
+<a class="jxr_linenumber" name="L306" href="#L306">306</a> <em class="jxr_javadoccomment">     * @return the largest distance.</em>
+<a class="jxr_linenumber" name="L307" href="#L307">307</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L308" href="#L308">308</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong> largestDistance(<strong class="jxr_keyword">double</strong> x,
+<a class="jxr_linenumber" name="L309" href="#L309">309</a>                                           <strong class="jxr_keyword">double</strong> y,
+<a class="jxr_linenumber" name="L310" href="#L310">310</a>                                           Set&lt;City&gt; cities) {
+<a class="jxr_linenumber" name="L311" href="#L311">311</a>         <strong class="jxr_keyword">double</strong> maxDist = 0;
+<a class="jxr_linenumber" name="L312" href="#L312">312</a>         <strong class="jxr_keyword">for</strong> (City c : cities) {
+<a class="jxr_linenumber" name="L313" href="#L313">313</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> dist = c.distance(x, y);
+<a class="jxr_linenumber" name="L314" href="#L314">314</a>             <strong class="jxr_keyword">if</strong> (dist &gt; maxDist) {
+<a class="jxr_linenumber" name="L315" href="#L315">315</a>                 maxDist = dist;
+<a class="jxr_linenumber" name="L316" href="#L316">316</a>             }
+<a class="jxr_linenumber" name="L317" href="#L317">317</a>         }
+<a class="jxr_linenumber" name="L318" href="#L318">318</a> 
+<a class="jxr_linenumber" name="L319" href="#L319">319</a>         <strong class="jxr_keyword">return</strong> maxDist;
+<a class="jxr_linenumber" name="L320" href="#L320">320</a>     }
+<a class="jxr_linenumber" name="L321" href="#L321">321</a> 
+<a class="jxr_linenumber" name="L322" href="#L322">322</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L323" href="#L323">323</a> <em class="jxr_javadoccomment">     * Creates the features' initializers: an approximate circle around the</em>
+<a class="jxr_linenumber" name="L324" href="#L324">324</a> <em class="jxr_javadoccomment">     * barycentre of the cities.</em>
+<a class="jxr_linenumber" name="L325" href="#L325">325</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L326" href="#L326">326</a> <em class="jxr_javadoccomment">     * @return an array containing the two initializers.</em>
+<a class="jxr_linenumber" name="L327" href="#L327">327</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L328" href="#L328">328</a>     <strong class="jxr_keyword">private</strong> FeatureInitializer[] makeInitializers() {
+<a class="jxr_linenumber" name="L329" href="#L329">329</a>         <em class="jxr_comment">// Barycentre.</em>
+<a class="jxr_linenumber" name="L330" href="#L330">330</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] centre = barycentre(cities);
+<a class="jxr_linenumber" name="L331" href="#L331">331</a>         <em class="jxr_comment">// Largest distance from centre.</em>
+<a class="jxr_linenumber" name="L332" href="#L332">332</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> radius = 0.5 * largestDistance(centre[0], centre[1], cities);
+<a class="jxr_linenumber" name="L333" href="#L333">333</a> 
+<a class="jxr_linenumber" name="L334" href="#L334">334</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> omega = 2 * Math.PI / numberOfNeurons;
+<a class="jxr_linenumber" name="L335" href="#L335">335</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction h1 = <strong class="jxr_keyword">new</strong> HarmonicOscillator(radius, omega, 0);
+<a class="jxr_linenumber" name="L336" href="#L336">336</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction h2 = <strong class="jxr_keyword">new</strong> HarmonicOscillator(radius, omega, 0.5 * Math.PI);
+<a class="jxr_linenumber" name="L337" href="#L337">337</a> 
+<a class="jxr_linenumber" name="L338" href="#L338">338</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction f1 = FunctionUtils.add(h1, <strong class="jxr_keyword">new</strong> Constant(centre[0]));
+<a class="jxr_linenumber" name="L339" href="#L339">339</a>         <strong class="jxr_keyword">final</strong> UnivariateFunction f2 = FunctionUtils.add(h2, <strong class="jxr_keyword">new</strong> Constant(centre[1]));
+<a class="jxr_linenumber" name="L340" href="#L340">340</a> 
+<a class="jxr_linenumber" name="L341" href="#L341">341</a>         <strong class="jxr_keyword">final</strong> RealDistribution u
+<a class="jxr_linenumber" name="L342" href="#L342">342</a>             = <strong class="jxr_keyword">new</strong> UniformRealDistribution(random, -0.05 * radius, 0.05 * radius);
+<a class="jxr_linenumber" name="L343" href="#L343">343</a> 

[... 89 lines stripped ...]


Mime
View raw message