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From l..@apache.org
Subject svn commit: r857590 [30/48] - in /websites/production/commons/content/proper/commons-math/xref-test: ./ org/apache/commons/math3/ org/apache/commons/math3/analysis/ org/apache/commons/math3/analysis/differentiation/ org/apache/commons/math3/analysis/fu...
Date Sun, 07 Apr 2013 07:52:13 GMT
Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html (original)
+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html Sun Apr  7 07:52:05 2013
@@ -26,193 +26,234 @@
 <a class="jxr_linenumber" name="16" href="#16">16</a>  <em class="jxr_comment"> */</em>
 <a class="jxr_linenumber" name="17" href="#17">17</a>  <strong class="jxr_keyword">package</strong> org.apache.commons.math3.optim.nonlinear.vector;
 <a class="jxr_linenumber" name="18" href="#18">18</a>  
-<a class="jxr_linenumber" name="19" href="#19">19</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.MultivariateVectorFunction;
-<a class="jxr_linenumber" name="20" href="#20">20</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.MultivariateMatrixFunction;
-<a class="jxr_linenumber" name="21" href="#21">21</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.MathIllegalStateException;
+<a class="jxr_linenumber" name="19" href="#19">19</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.MultivariateMatrixFunction;
+<a class="jxr_linenumber" name="20" href="#20">20</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.MultivariateVectorFunction;
+<a class="jxr_linenumber" name="21" href="#21">21</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.TooManyEvaluationsException;
 <a class="jxr_linenumber" name="22" href="#22">22</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.linear.BlockRealMatrix;
 <a class="jxr_linenumber" name="23" href="#23">23</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.linear.RealMatrix;
-<a class="jxr_linenumber" name="24" href="#24">24</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.MaxEval;
-<a class="jxr_linenumber" name="25" href="#25">25</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.InitialGuess;
-<a class="jxr_linenumber" name="26" href="#26">26</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.PointVectorValuePair;
-<a class="jxr_linenumber" name="27" href="#27">27</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.SimpleVectorValueChecker;
-<a class="jxr_linenumber" name="28" href="#28">28</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer;
-<a class="jxr_linenumber" name="29" href="#29">29</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.GaussianRandomGenerator;
-<a class="jxr_linenumber" name="30" href="#30">30</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.JDKRandomGenerator;
-<a class="jxr_linenumber" name="31" href="#31">31</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.RandomVectorGenerator;
-<a class="jxr_linenumber" name="32" href="#32">32</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator;
-<a class="jxr_linenumber" name="33" href="#33">33</a>  <strong class="jxr_keyword">import</strong> org.junit.Assert;
-<a class="jxr_linenumber" name="34" href="#34">34</a>  <strong class="jxr_keyword">import</strong> org.junit.Test;
-<a class="jxr_linenumber" name="35" href="#35">35</a>  
-<a class="jxr_linenumber" name="36" href="#36">36</a>  <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="37" href="#37">37</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;Some of the unit tests are re-implementations of the MINPACK &lt;a</em>
-<a class="jxr_linenumber" name="38" href="#38">38</a>  <em class="jxr_javadoccomment"> * href="<a href="http://www.netlib.org/minpack/ex/file17" target="alexandria_uri">http://www.netlib.org/minpack/ex/file17</a>"&gt;file17&lt;/a&gt; and &lt;a</em>
-<a class="jxr_linenumber" name="39" href="#39">39</a>  <em class="jxr_javadoccomment"> * href="<a href="http://www.netlib.org/minpack/ex/file22" target="alexandria_uri">http://www.netlib.org/minpack/ex/file22</a>"&gt;file22&lt;/a&gt; test files.</em>
-<a class="jxr_linenumber" name="40" href="#40">40</a>  <em class="jxr_javadoccomment"> * The redistribution policy for MINPACK is available &lt;a</em>
-<a class="jxr_linenumber" name="41" href="#41">41</a>  <em class="jxr_javadoccomment"> * href="<a href="http://www.netlib.org/minpack/disclaimer" target="alexandria_uri">http://www.netlib.org/minpack/disclaimer</a>"&gt;here&lt;/a&gt;, for</em>
-<a class="jxr_linenumber" name="42" href="#42">42</a>  <em class="jxr_javadoccomment"> * convenience, it is reproduced below.&lt;/p&gt;</em>
-<a class="jxr_linenumber" name="43" href="#43">43</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="44" href="#44">44</a>  <em class="jxr_javadoccomment"> * &lt;table border="0" width="80%" cellpadding="10" align="center" bgcolor="#E0E0E0"&gt;</em>
-<a class="jxr_linenumber" name="45" href="#45">45</a>  <em class="jxr_javadoccomment"> * &lt;tr&gt;&lt;td&gt;</em>
-<a class="jxr_linenumber" name="46" href="#46">46</a>  <em class="jxr_javadoccomment"> *    Minpack Copyright Notice (1999) University of Chicago.</em>
-<a class="jxr_linenumber" name="47" href="#47">47</a>  <em class="jxr_javadoccomment"> *    All rights reserved</em>
-<a class="jxr_linenumber" name="48" href="#48">48</a>  <em class="jxr_javadoccomment"> * &lt;/td&gt;&lt;/tr&gt;</em>
-<a class="jxr_linenumber" name="49" href="#49">49</a>  <em class="jxr_javadoccomment"> * &lt;tr&gt;&lt;td&gt;</em>
-<a class="jxr_linenumber" name="50" href="#50">50</a>  <em class="jxr_javadoccomment"> * Redistribution and use in source and binary forms, with or without</em>
-<a class="jxr_linenumber" name="51" href="#51">51</a>  <em class="jxr_javadoccomment"> * modification, are permitted provided that the following conditions</em>
-<a class="jxr_linenumber" name="52" href="#52">52</a>  <em class="jxr_javadoccomment"> * are met:</em>
-<a class="jxr_linenumber" name="53" href="#53">53</a>  <em class="jxr_javadoccomment"> * &lt;ol&gt;</em>
-<a class="jxr_linenumber" name="54" href="#54">54</a>  <em class="jxr_javadoccomment"> *  &lt;li&gt;Redistributions of source code must retain the above copyright</em>
-<a class="jxr_linenumber" name="55" href="#55">55</a>  <em class="jxr_javadoccomment"> *      notice, this list of conditions and the following disclaimer.&lt;/li&gt;</em>
-<a class="jxr_linenumber" name="56" href="#56">56</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;Redistributions in binary form must reproduce the above</em>
-<a class="jxr_linenumber" name="57" href="#57">57</a>  <em class="jxr_javadoccomment"> *     copyright notice, this list of conditions and the following</em>
-<a class="jxr_linenumber" name="58" href="#58">58</a>  <em class="jxr_javadoccomment"> *     disclaimer in the documentation and/or other materials provided</em>
-<a class="jxr_linenumber" name="59" href="#59">59</a>  <em class="jxr_javadoccomment"> *     with the distribution.&lt;/li&gt;</em>
-<a class="jxr_linenumber" name="60" href="#60">60</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;The end-user documentation included with the redistribution, if any,</em>
-<a class="jxr_linenumber" name="61" href="#61">61</a>  <em class="jxr_javadoccomment"> *     must include the following acknowledgment:</em>
-<a class="jxr_linenumber" name="62" href="#62">62</a>  <em class="jxr_javadoccomment"> *     &lt;code&gt;This product includes software developed by the University of</em>
-<a class="jxr_linenumber" name="63" href="#63">63</a>  <em class="jxr_javadoccomment"> *           Chicago, as Operator of Argonne National Laboratory.&lt;/code&gt;</em>
-<a class="jxr_linenumber" name="64" href="#64">64</a>  <em class="jxr_javadoccomment"> *     Alternately, this acknowledgment may appear in the software itself,</em>
-<a class="jxr_linenumber" name="65" href="#65">65</a>  <em class="jxr_javadoccomment"> *     if and wherever such third-party acknowledgments normally appear.&lt;/li&gt;</em>
-<a class="jxr_linenumber" name="66" href="#66">66</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;&lt;strong&gt;WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"</em>
-<a class="jxr_linenumber" name="67" href="#67">67</a>  <em class="jxr_javadoccomment"> *     WITHOUT WARRANTY OF ANY KIND. THE COPYRIGHT HOLDER, THE</em>
-<a class="jxr_linenumber" name="68" href="#68">68</a>  <em class="jxr_javadoccomment"> *     UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, AND</em>
-<a class="jxr_linenumber" name="69" href="#69">69</a>  <em class="jxr_javadoccomment"> *     THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR</em>
-<a class="jxr_linenumber" name="70" href="#70">70</a>  <em class="jxr_javadoccomment"> *     IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES</em>
-<a class="jxr_linenumber" name="71" href="#71">71</a>  <em class="jxr_javadoccomment"> *     OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE</em>
-<a class="jxr_linenumber" name="72" href="#72">72</a>  <em class="jxr_javadoccomment"> *     OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY</em>
-<a class="jxr_linenumber" name="73" href="#73">73</a>  <em class="jxr_javadoccomment"> *     OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR</em>
-<a class="jxr_linenumber" name="74" href="#74">74</a>  <em class="jxr_javadoccomment"> *     USEFULNESS OF THE SOFTWARE, (3) DO NOT REPRESENT THAT USE OF</em>
-<a class="jxr_linenumber" name="75" href="#75">75</a>  <em class="jxr_javadoccomment"> *     THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4)</em>
-<a class="jxr_linenumber" name="76" href="#76">76</a>  <em class="jxr_javadoccomment"> *     DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION</em>
-<a class="jxr_linenumber" name="77" href="#77">77</a>  <em class="jxr_javadoccomment"> *     UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL</em>
-<a class="jxr_linenumber" name="78" href="#78">78</a>  <em class="jxr_javadoccomment"> *     BE CORRECTED.&lt;/strong&gt;&lt;/li&gt;</em>
-<a class="jxr_linenumber" name="79" href="#79">79</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;&lt;strong&gt;LIMITATION OF LIABILITY. IN NO EVENT WILL THE COPYRIGHT</em>
-<a class="jxr_linenumber" name="80" href="#80">80</a>  <em class="jxr_javadoccomment"> *     HOLDER, THE UNITED STATES, THE UNITED STATES DEPARTMENT OF</em>
-<a class="jxr_linenumber" name="81" href="#81">81</a>  <em class="jxr_javadoccomment"> *     ENERGY, OR THEIR EMPLOYEES: BE LIABLE FOR ANY INDIRECT,</em>
-<a class="jxr_linenumber" name="82" href="#82">82</a>  <em class="jxr_javadoccomment"> *     INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF</em>
-<a class="jxr_linenumber" name="83" href="#83">83</a>  <em class="jxr_javadoccomment"> *     ANY KIND OR NATURE, INCLUDING BUT NOT LIMITED TO LOSS OF</em>
-<a class="jxr_linenumber" name="84" href="#84">84</a>  <em class="jxr_javadoccomment"> *     PROFITS OR LOSS OF DATA, FOR ANY REASON WHATSOEVER, WHETHER</em>
-<a class="jxr_linenumber" name="85" href="#85">85</a>  <em class="jxr_javadoccomment"> *     SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT</em>
-<a class="jxr_linenumber" name="86" href="#86">86</a>  <em class="jxr_javadoccomment"> *     (INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE,</em>
-<a class="jxr_linenumber" name="87" href="#87">87</a>  <em class="jxr_javadoccomment"> *     EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE</em>
-<a class="jxr_linenumber" name="88" href="#88">88</a>  <em class="jxr_javadoccomment"> *     POSSIBILITY OF SUCH LOSS OR DAMAGES.&lt;/strong&gt;&lt;/li&gt;</em>
-<a class="jxr_linenumber" name="89" href="#89">89</a>  <em class="jxr_javadoccomment"> * &lt;ol&gt;&lt;/td&gt;&lt;/tr&gt;</em>
-<a class="jxr_linenumber" name="90" href="#90">90</a>  <em class="jxr_javadoccomment"> * &lt;/table&gt;</em>
-<a class="jxr_linenumber" name="91" href="#91">91</a>  <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="92" href="#92">92</a>  <em class="jxr_javadoccomment"> * @author Argonne National Laboratory. MINPACK project. March 1980 (original fortran minpack tests)</em>
-<a class="jxr_linenumber" name="93" href="#93">93</a>  <em class="jxr_javadoccomment"> * @author Burton S. Garbow (original fortran minpack tests)</em>
-<a class="jxr_linenumber" name="94" href="#94">94</a>  <em class="jxr_javadoccomment"> * @author Kenneth E. Hillstrom (original fortran minpack tests)</em>
-<a class="jxr_linenumber" name="95" href="#95">95</a>  <em class="jxr_javadoccomment"> * @author Jorge J. More (original fortran minpack tests)</em>
-<a class="jxr_linenumber" name="96" href="#96">96</a>  <em class="jxr_javadoccomment"> * @author Luc Maisonobe (non-minpack tests and minpack tests Java translation)</em>
-<a class="jxr_linenumber" name="97" href="#97">97</a>  <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="98" href="#98">98</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html">MultiStartMultivariateVectorOptimizerTest</a> {
-<a class="jxr_linenumber" name="99" href="#99">99</a>      @Test(expected=NullPointerException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="100" href="#100">100</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGetOptimaBeforeOptimize() {
-<a class="jxr_linenumber" name="101" href="#101">101</a>         <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a> problem
-<a class="jxr_linenumber" name="102" href="#102">102</a>             = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a>(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[][] { { 2 } }, <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 3 });
-<a class="jxr_linenumber" name="103" href="#103">103</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer
-<a class="jxr_linenumber" name="104" href="#104">104</a>             = <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6));
-<a class="jxr_linenumber" name="105" href="#105">105</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
-<a class="jxr_linenumber" name="106" href="#106">106</a>         g.setSeed(16069223052l);
-<a class="jxr_linenumber" name="107" href="#107">107</a>         RandomVectorGenerator generator
-<a class="jxr_linenumber" name="108" href="#108">108</a>             = <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
-<a class="jxr_linenumber" name="109" href="#109">109</a>         MultiStartMultivariateVectorOptimizer optimizer
-<a class="jxr_linenumber" name="110" href="#110">110</a>             = <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
-<a class="jxr_linenumber" name="111" href="#111">111</a> 
-<a class="jxr_linenumber" name="112" href="#112">112</a>         optimizer.getOptima();
-<a class="jxr_linenumber" name="113" href="#113">113</a>     }
-<a class="jxr_linenumber" name="114" href="#114">114</a> 
-<a class="jxr_linenumber" name="115" href="#115">115</a>     @Test
-<a class="jxr_linenumber" name="116" href="#116">116</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testTrivial() {
-<a class="jxr_linenumber" name="117" href="#117">117</a>         <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a> problem
-<a class="jxr_linenumber" name="118" href="#118">118</a>             = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a>(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[][] { { 2 } }, <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 3 });
-<a class="jxr_linenumber" name="119" href="#119">119</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer
-<a class="jxr_linenumber" name="120" href="#120">120</a>             = <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6));
-<a class="jxr_linenumber" name="121" href="#121">121</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
-<a class="jxr_linenumber" name="122" href="#122">122</a>         g.setSeed(16069223052l);
-<a class="jxr_linenumber" name="123" href="#123">123</a>         RandomVectorGenerator generator
-<a class="jxr_linenumber" name="124" href="#124">124</a>             = <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
-<a class="jxr_linenumber" name="125" href="#125">125</a>         MultiStartMultivariateVectorOptimizer optimizer
-<a class="jxr_linenumber" name="126" href="#126">126</a>             = <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
-<a class="jxr_linenumber" name="127" href="#127">127</a> 
-<a class="jxr_linenumber" name="128" href="#128">128</a>         PointVectorValuePair optimum
-<a class="jxr_linenumber" name="129" href="#129">129</a>             = optimizer.optimize(<strong class="jxr_keyword">new</strong> MaxEval(100),
-<a class="jxr_linenumber" name="130" href="#130">130</a>                                  problem.getModelFunction(),
-<a class="jxr_linenumber" name="131" href="#131">131</a>                                  problem.getModelFunctionJacobian(),
-<a class="jxr_linenumber" name="132" href="#132">132</a>                                  problem.getTarget(),
-<a class="jxr_linenumber" name="133" href="#133">133</a>                                  <strong class="jxr_keyword">new</strong> Weight(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 1 }),
-<a class="jxr_linenumber" name="134" href="#134">134</a>                                  <strong class="jxr_keyword">new</strong> InitialGuess(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }));
-<a class="jxr_linenumber" name="135" href="#135">135</a>         Assert.assertEquals(1.5, optimum.getPoint()[0], 1e-10);
-<a class="jxr_linenumber" name="136" href="#136">136</a>         Assert.assertEquals(3.0, optimum.getValue()[0], 1e-10);
-<a class="jxr_linenumber" name="137" href="#137">137</a>         PointVectorValuePair[] optima = optimizer.getOptima();
-<a class="jxr_linenumber" name="138" href="#138">138</a>         Assert.assertEquals(10, optima.length);
-<a class="jxr_linenumber" name="139" href="#139">139</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; optima.length; i++) {
-<a class="jxr_linenumber" name="140" href="#140">140</a>             Assert.assertEquals(1.5, optima[i].getPoint()[0], 1e-10);
-<a class="jxr_linenumber" name="141" href="#141">141</a>             Assert.assertEquals(3.0, optima[i].getValue()[0], 1e-10);
-<a class="jxr_linenumber" name="142" href="#142">142</a>         }
-<a class="jxr_linenumber" name="143" href="#143">143</a>         Assert.assertTrue(optimizer.getEvaluations() &gt; 20);
-<a class="jxr_linenumber" name="144" href="#144">144</a>         Assert.assertTrue(optimizer.getEvaluations() &lt; 50);
-<a class="jxr_linenumber" name="145" href="#145">145</a>         Assert.assertEquals(100, optimizer.getMaxEvaluations());
-<a class="jxr_linenumber" name="146" href="#146">146</a>     }
-<a class="jxr_linenumber" name="147" href="#147">147</a> 
-<a class="jxr_linenumber" name="148" href="#148">148</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="149" href="#149">149</a> <em class="jxr_javadoccomment">     * Test demonstrating that the user exception is fnally thrown if none</em>
-<a class="jxr_linenumber" name="150" href="#150">150</a> <em class="jxr_javadoccomment">     * of the runs succeed.</em>
-<a class="jxr_linenumber" name="151" href="#151">151</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="152" href="#152">152</a>     @Test(expected=TestException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="153" href="#153">153</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testNoOptimum() {
-<a class="jxr_linenumber" name="154" href="#154">154</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer
-<a class="jxr_linenumber" name="155" href="#155">155</a>             = <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6));
-<a class="jxr_linenumber" name="156" href="#156">156</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
-<a class="jxr_linenumber" name="157" href="#157">157</a>         g.setSeed(12373523445l);
-<a class="jxr_linenumber" name="158" href="#158">158</a>         RandomVectorGenerator generator
-<a class="jxr_linenumber" name="159" href="#159">159</a>             = <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
-<a class="jxr_linenumber" name="160" href="#160">160</a>         MultiStartMultivariateVectorOptimizer optimizer
-<a class="jxr_linenumber" name="161" href="#161">161</a>             = <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
-<a class="jxr_linenumber" name="162" href="#162">162</a>         optimizer.optimize(<strong class="jxr_keyword">new</strong> MaxEval(100),
-<a class="jxr_linenumber" name="163" href="#163">163</a>                            <strong class="jxr_keyword">new</strong> Target(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }),
-<a class="jxr_linenumber" name="164" href="#164">164</a>                            <strong class="jxr_keyword">new</strong> Weight(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 1 }),
-<a class="jxr_linenumber" name="165" href="#165">165</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }),
-<a class="jxr_linenumber" name="166" href="#166">166</a>                            <strong class="jxr_keyword">new</strong> ModelFunction(<strong class="jxr_keyword">new</strong> MultivariateVectorFunction() {
-<a class="jxr_linenumber" name="167" href="#167">167</a>                                    <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] value(<strong class="jxr_keyword">double</strong>[] point) {
-<a class="jxr_linenumber" name="168" href="#168">168</a>                                        <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html">TestException</a>();
-<a class="jxr_linenumber" name="169" href="#169">169</a>                                    }
-<a class="jxr_linenumber" name="170" href="#170">170</a>                                }));
-<a class="jxr_linenumber" name="171" href="#171">171</a>     }
-<a class="jxr_linenumber" name="172" href="#172">172</a> 
-<a class="jxr_linenumber" name="173" href="#173">173</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html">TestException</a> <strong class="jxr_keyword">extends</strong> RuntimeException {}
-<a class="jxr_linenumber" name="174" href="#174">174</a> 
-<a class="jxr_linenumber" name="175" href="#175">175</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a> {
-<a class="jxr_linenumber" name="176" href="#176">176</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> RealMatrix factors;
-<a class="jxr_linenumber" name="177" href="#177">177</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] target;
-<a class="jxr_linenumber" name="178" href="#178">178</a> 
-<a class="jxr_linenumber" name="179" href="#179">179</a>         <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a>(<strong class="jxr_keyword">double</strong>[][] factors,
-<a class="jxr_linenumber" name="180" href="#180">180</a>                              <strong class="jxr_keyword">double</strong>[] target) {
-<a class="jxr_linenumber" name="181" href="#181">181</a>             <strong class="jxr_keyword">this</strong>.factors = <strong class="jxr_keyword">new</strong> BlockRealMatrix(factors);
-<a class="jxr_linenumber" name="182" href="#182">182</a>             <strong class="jxr_keyword">this</strong>.target  = target;
-<a class="jxr_linenumber" name="183" href="#183">183</a>         }
+<a class="jxr_linenumber" name="24" href="#24">24</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.InitialGuess;
+<a class="jxr_linenumber" name="25" href="#25">25</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.MaxEval;
+<a class="jxr_linenumber" name="26" href="#26">26</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.OptimizationData;
+<a class="jxr_linenumber" name="27" href="#27">27</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.PointVectorValuePair;
+<a class="jxr_linenumber" name="28" href="#28">28</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.SimpleBounds;
+<a class="jxr_linenumber" name="29" href="#29">29</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.SimpleVectorValueChecker;
+<a class="jxr_linenumber" name="30" href="#30">30</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer;
+<a class="jxr_linenumber" name="31" href="#31">31</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.GaussianRandomGenerator;
+<a class="jxr_linenumber" name="32" href="#32">32</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.JDKRandomGenerator;
+<a class="jxr_linenumber" name="33" href="#33">33</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.RandomVectorGenerator;
+<a class="jxr_linenumber" name="34" href="#34">34</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator;
+<a class="jxr_linenumber" name="35" href="#35">35</a>  <strong class="jxr_keyword">import</strong> org.junit.Assert;
+<a class="jxr_linenumber" name="36" href="#36">36</a>  <strong class="jxr_keyword">import</strong> org.junit.Test;
+<a class="jxr_linenumber" name="37" href="#37">37</a>  
+<a class="jxr_linenumber" name="38" href="#38">38</a>  <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="39" href="#39">39</a>  <em class="jxr_javadoccomment"> * &lt;p&gt;Some of the unit tests are re-implementations of the MINPACK &lt;a</em>
+<a class="jxr_linenumber" name="40" href="#40">40</a>  <em class="jxr_javadoccomment"> * href="<a href="http://www.netlib.org/minpack/ex/file17" target="alexandria_uri">http://www.netlib.org/minpack/ex/file17</a>"&gt;file17&lt;/a&gt; and &lt;a</em>
+<a class="jxr_linenumber" name="41" href="#41">41</a>  <em class="jxr_javadoccomment"> * href="<a href="http://www.netlib.org/minpack/ex/file22" target="alexandria_uri">http://www.netlib.org/minpack/ex/file22</a>"&gt;file22&lt;/a&gt; test files.</em>
+<a class="jxr_linenumber" name="42" href="#42">42</a>  <em class="jxr_javadoccomment"> * The redistribution policy for MINPACK is available &lt;a</em>
+<a class="jxr_linenumber" name="43" href="#43">43</a>  <em class="jxr_javadoccomment"> * href="<a href="http://www.netlib.org/minpack/disclaimer" target="alexandria_uri">http://www.netlib.org/minpack/disclaimer</a>"&gt;here&lt;/a&gt;, for</em>
+<a class="jxr_linenumber" name="44" href="#44">44</a>  <em class="jxr_javadoccomment"> * convenience, it is reproduced below.&lt;/p&gt;</em>
+<a class="jxr_linenumber" name="45" href="#45">45</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="46" href="#46">46</a>  <em class="jxr_javadoccomment"> * &lt;table border="0" width="80%" cellpadding="10" align="center" bgcolor="#E0E0E0"&gt;</em>
+<a class="jxr_linenumber" name="47" href="#47">47</a>  <em class="jxr_javadoccomment"> * &lt;tr&gt;&lt;td&gt;</em>
+<a class="jxr_linenumber" name="48" href="#48">48</a>  <em class="jxr_javadoccomment"> *    Minpack Copyright Notice (1999) University of Chicago.</em>
+<a class="jxr_linenumber" name="49" href="#49">49</a>  <em class="jxr_javadoccomment"> *    All rights reserved</em>
+<a class="jxr_linenumber" name="50" href="#50">50</a>  <em class="jxr_javadoccomment"> * &lt;/td&gt;&lt;/tr&gt;</em>
+<a class="jxr_linenumber" name="51" href="#51">51</a>  <em class="jxr_javadoccomment"> * &lt;tr&gt;&lt;td&gt;</em>
+<a class="jxr_linenumber" name="52" href="#52">52</a>  <em class="jxr_javadoccomment"> * Redistribution and use in source and binary forms, with or without</em>
+<a class="jxr_linenumber" name="53" href="#53">53</a>  <em class="jxr_javadoccomment"> * modification, are permitted provided that the following conditions</em>
+<a class="jxr_linenumber" name="54" href="#54">54</a>  <em class="jxr_javadoccomment"> * are met:</em>
+<a class="jxr_linenumber" name="55" href="#55">55</a>  <em class="jxr_javadoccomment"> * &lt;ol&gt;</em>
+<a class="jxr_linenumber" name="56" href="#56">56</a>  <em class="jxr_javadoccomment"> *  &lt;li&gt;Redistributions of source code must retain the above copyright</em>
+<a class="jxr_linenumber" name="57" href="#57">57</a>  <em class="jxr_javadoccomment"> *      notice, this list of conditions and the following disclaimer.&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="58" href="#58">58</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;Redistributions in binary form must reproduce the above</em>
+<a class="jxr_linenumber" name="59" href="#59">59</a>  <em class="jxr_javadoccomment"> *     copyright notice, this list of conditions and the following</em>
+<a class="jxr_linenumber" name="60" href="#60">60</a>  <em class="jxr_javadoccomment"> *     disclaimer in the documentation and/or other materials provided</em>
+<a class="jxr_linenumber" name="61" href="#61">61</a>  <em class="jxr_javadoccomment"> *     with the distribution.&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="62" href="#62">62</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;The end-user documentation included with the redistribution, if any,</em>
+<a class="jxr_linenumber" name="63" href="#63">63</a>  <em class="jxr_javadoccomment"> *     must include the following acknowledgment:</em>
+<a class="jxr_linenumber" name="64" href="#64">64</a>  <em class="jxr_javadoccomment"> *     &lt;code&gt;This product includes software developed by the University of</em>
+<a class="jxr_linenumber" name="65" href="#65">65</a>  <em class="jxr_javadoccomment"> *           Chicago, as Operator of Argonne National Laboratory.&lt;/code&gt;</em>
+<a class="jxr_linenumber" name="66" href="#66">66</a>  <em class="jxr_javadoccomment"> *     Alternately, this acknowledgment may appear in the software itself,</em>
+<a class="jxr_linenumber" name="67" href="#67">67</a>  <em class="jxr_javadoccomment"> *     if and wherever such third-party acknowledgments normally appear.&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="68" href="#68">68</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;&lt;strong&gt;WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"</em>
+<a class="jxr_linenumber" name="69" href="#69">69</a>  <em class="jxr_javadoccomment"> *     WITHOUT WARRANTY OF ANY KIND. THE COPYRIGHT HOLDER, THE</em>
+<a class="jxr_linenumber" name="70" href="#70">70</a>  <em class="jxr_javadoccomment"> *     UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, AND</em>
+<a class="jxr_linenumber" name="71" href="#71">71</a>  <em class="jxr_javadoccomment"> *     THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR</em>
+<a class="jxr_linenumber" name="72" href="#72">72</a>  <em class="jxr_javadoccomment"> *     IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES</em>
+<a class="jxr_linenumber" name="73" href="#73">73</a>  <em class="jxr_javadoccomment"> *     OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE</em>
+<a class="jxr_linenumber" name="74" href="#74">74</a>  <em class="jxr_javadoccomment"> *     OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY</em>
+<a class="jxr_linenumber" name="75" href="#75">75</a>  <em class="jxr_javadoccomment"> *     OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR</em>
+<a class="jxr_linenumber" name="76" href="#76">76</a>  <em class="jxr_javadoccomment"> *     USEFULNESS OF THE SOFTWARE, (3) DO NOT REPRESENT THAT USE OF</em>
+<a class="jxr_linenumber" name="77" href="#77">77</a>  <em class="jxr_javadoccomment"> *     THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4)</em>
+<a class="jxr_linenumber" name="78" href="#78">78</a>  <em class="jxr_javadoccomment"> *     DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION</em>
+<a class="jxr_linenumber" name="79" href="#79">79</a>  <em class="jxr_javadoccomment"> *     UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL</em>
+<a class="jxr_linenumber" name="80" href="#80">80</a>  <em class="jxr_javadoccomment"> *     BE CORRECTED.&lt;/strong&gt;&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="81" href="#81">81</a>  <em class="jxr_javadoccomment"> * &lt;li&gt;&lt;strong&gt;LIMITATION OF LIABILITY. IN NO EVENT WILL THE COPYRIGHT</em>
+<a class="jxr_linenumber" name="82" href="#82">82</a>  <em class="jxr_javadoccomment"> *     HOLDER, THE UNITED STATES, THE UNITED STATES DEPARTMENT OF</em>
+<a class="jxr_linenumber" name="83" href="#83">83</a>  <em class="jxr_javadoccomment"> *     ENERGY, OR THEIR EMPLOYEES: BE LIABLE FOR ANY INDIRECT,</em>
+<a class="jxr_linenumber" name="84" href="#84">84</a>  <em class="jxr_javadoccomment"> *     INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF</em>
+<a class="jxr_linenumber" name="85" href="#85">85</a>  <em class="jxr_javadoccomment"> *     ANY KIND OR NATURE, INCLUDING BUT NOT LIMITED TO LOSS OF</em>
+<a class="jxr_linenumber" name="86" href="#86">86</a>  <em class="jxr_javadoccomment"> *     PROFITS OR LOSS OF DATA, FOR ANY REASON WHATSOEVER, WHETHER</em>
+<a class="jxr_linenumber" name="87" href="#87">87</a>  <em class="jxr_javadoccomment"> *     SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT</em>
+<a class="jxr_linenumber" name="88" href="#88">88</a>  <em class="jxr_javadoccomment"> *     (INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE,</em>
+<a class="jxr_linenumber" name="89" href="#89">89</a>  <em class="jxr_javadoccomment"> *     EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE</em>
+<a class="jxr_linenumber" name="90" href="#90">90</a>  <em class="jxr_javadoccomment"> *     POSSIBILITY OF SUCH LOSS OR DAMAGES.&lt;/strong&gt;&lt;/li&gt;</em>
+<a class="jxr_linenumber" name="91" href="#91">91</a>  <em class="jxr_javadoccomment"> * &lt;ol&gt;&lt;/td&gt;&lt;/tr&gt;</em>
+<a class="jxr_linenumber" name="92" href="#92">92</a>  <em class="jxr_javadoccomment"> * &lt;/table&gt;</em>
+<a class="jxr_linenumber" name="93" href="#93">93</a>  <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="94" href="#94">94</a>  <em class="jxr_javadoccomment"> * @author Argonne National Laboratory. MINPACK project. March 1980 (original fortran minpack tests)</em>
+<a class="jxr_linenumber" name="95" href="#95">95</a>  <em class="jxr_javadoccomment"> * @author Burton S. Garbow (original fortran minpack tests)</em>
+<a class="jxr_linenumber" name="96" href="#96">96</a>  <em class="jxr_javadoccomment"> * @author Kenneth E. Hillstrom (original fortran minpack tests)</em>
+<a class="jxr_linenumber" name="97" href="#97">97</a>  <em class="jxr_javadoccomment"> * @author Jorge J. More (original fortran minpack tests)</em>
+<a class="jxr_linenumber" name="98" href="#98">98</a>  <em class="jxr_javadoccomment"> * @author Luc Maisonobe (non-minpack tests and minpack tests Java translation)</em>
+<a class="jxr_linenumber" name="99" href="#99">99</a>  <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="100" href="#100">100</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html">MultiStartMultivariateVectorOptimizerTest</a> {
+<a class="jxr_linenumber" name="101" href="#101">101</a> 
+<a class="jxr_linenumber" name="102" href="#102">102</a>     @Test(expected=NullPointerException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="103" href="#103">103</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGetOptimaBeforeOptimize() {
+<a class="jxr_linenumber" name="104" href="#104">104</a> 
+<a class="jxr_linenumber" name="105" href="#105">105</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer
+<a class="jxr_linenumber" name="106" href="#106">106</a>             = <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6));
+<a class="jxr_linenumber" name="107" href="#107">107</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
+<a class="jxr_linenumber" name="108" href="#108">108</a>         g.setSeed(16069223052l);
+<a class="jxr_linenumber" name="109" href="#109">109</a>         RandomVectorGenerator generator
+<a class="jxr_linenumber" name="110" href="#110">110</a>             = <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
+<a class="jxr_linenumber" name="111" href="#111">111</a>         MultiStartMultivariateVectorOptimizer optimizer
+<a class="jxr_linenumber" name="112" href="#112">112</a>             = <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
+<a class="jxr_linenumber" name="113" href="#113">113</a> 
+<a class="jxr_linenumber" name="114" href="#114">114</a>         optimizer.getOptima();
+<a class="jxr_linenumber" name="115" href="#115">115</a>     }
+<a class="jxr_linenumber" name="116" href="#116">116</a> 
+<a class="jxr_linenumber" name="117" href="#117">117</a>     @Test
+<a class="jxr_linenumber" name="118" href="#118">118</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testTrivial() {
+<a class="jxr_linenumber" name="119" href="#119">119</a>         <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a> problem
+<a class="jxr_linenumber" name="120" href="#120">120</a>             = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a>(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[][] { { 2 } }, <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 3 });
+<a class="jxr_linenumber" name="121" href="#121">121</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer
+<a class="jxr_linenumber" name="122" href="#122">122</a>             = <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6));
+<a class="jxr_linenumber" name="123" href="#123">123</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
+<a class="jxr_linenumber" name="124" href="#124">124</a>         g.setSeed(16069223052l);
+<a class="jxr_linenumber" name="125" href="#125">125</a>         RandomVectorGenerator generator
+<a class="jxr_linenumber" name="126" href="#126">126</a>             = <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
+<a class="jxr_linenumber" name="127" href="#127">127</a>         MultiStartMultivariateVectorOptimizer optimizer
+<a class="jxr_linenumber" name="128" href="#128">128</a>             = <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
+<a class="jxr_linenumber" name="129" href="#129">129</a> 
+<a class="jxr_linenumber" name="130" href="#130">130</a>         PointVectorValuePair optimum
+<a class="jxr_linenumber" name="131" href="#131">131</a>             = optimizer.optimize(<strong class="jxr_keyword">new</strong> MaxEval(100),
+<a class="jxr_linenumber" name="132" href="#132">132</a>                                  problem.getModelFunction(),
+<a class="jxr_linenumber" name="133" href="#133">133</a>                                  problem.getModelFunctionJacobian(),
+<a class="jxr_linenumber" name="134" href="#134">134</a>                                  problem.getTarget(),
+<a class="jxr_linenumber" name="135" href="#135">135</a>                                  <strong class="jxr_keyword">new</strong> Weight(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 1 }),
+<a class="jxr_linenumber" name="136" href="#136">136</a>                                  <strong class="jxr_keyword">new</strong> InitialGuess(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }));
+<a class="jxr_linenumber" name="137" href="#137">137</a>         Assert.assertEquals(1.5, optimum.getPoint()[0], 1e-10);
+<a class="jxr_linenumber" name="138" href="#138">138</a>         Assert.assertEquals(3.0, optimum.getValue()[0], 1e-10);
+<a class="jxr_linenumber" name="139" href="#139">139</a>         PointVectorValuePair[] optima = optimizer.getOptima();
+<a class="jxr_linenumber" name="140" href="#140">140</a>         Assert.assertEquals(10, optima.length);
+<a class="jxr_linenumber" name="141" href="#141">141</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; optima.length; i++) {
+<a class="jxr_linenumber" name="142" href="#142">142</a>             Assert.assertEquals(1.5, optima[i].getPoint()[0], 1e-10);
+<a class="jxr_linenumber" name="143" href="#143">143</a>             Assert.assertEquals(3.0, optima[i].getValue()[0], 1e-10);
+<a class="jxr_linenumber" name="144" href="#144">144</a>         }
+<a class="jxr_linenumber" name="145" href="#145">145</a>         Assert.assertTrue(optimizer.getEvaluations() &gt; 20);
+<a class="jxr_linenumber" name="146" href="#146">146</a>         Assert.assertTrue(optimizer.getEvaluations() &lt; 50);
+<a class="jxr_linenumber" name="147" href="#147">147</a>         Assert.assertEquals(100, optimizer.getMaxEvaluations());
+<a class="jxr_linenumber" name="148" href="#148">148</a>     }
+<a class="jxr_linenumber" name="149" href="#149">149</a> 
+<a class="jxr_linenumber" name="150" href="#150">150</a>     @Test
+<a class="jxr_linenumber" name="151" href="#151">151</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testIssue914() {
+<a class="jxr_linenumber" name="152" href="#152">152</a>         <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a> problem = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a>(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[][] { { 2 } }, <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 3 });
+<a class="jxr_linenumber" name="153" href="#153">153</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer =
+<a class="jxr_linenumber" name="154" href="#154">154</a>                 <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6)) {
+<a class="jxr_linenumber" name="155" href="#155">155</a>             <strong class="jxr_keyword">public</strong> PointVectorValuePair optimize(OptimizationData... optData) {
+<a class="jxr_linenumber" name="156" href="#156">156</a>                 <em class="jxr_comment">// filter out simple bounds, as they are not supported</em>
+<a class="jxr_linenumber" name="157" href="#157">157</a>                 <em class="jxr_comment">// by the underlying optimizer, and we don't really care for this test</em>
+<a class="jxr_linenumber" name="158" href="#158">158</a>                 OptimizationData[] filtered = optData.clone();
+<a class="jxr_linenumber" name="159" href="#159">159</a>                 <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; filtered.length; ++i) {
+<a class="jxr_linenumber" name="160" href="#160">160</a>                     <strong class="jxr_keyword">if</strong> (filtered[i] instanceof SimpleBounds) {
+<a class="jxr_linenumber" name="161" href="#161">161</a>                         filtered[i] = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="162" href="#162">162</a>                     }
+<a class="jxr_linenumber" name="163" href="#163">163</a>                 }
+<a class="jxr_linenumber" name="164" href="#164">164</a>                 <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">super</strong>.optimize(filtered);
+<a class="jxr_linenumber" name="165" href="#165">165</a>             }
+<a class="jxr_linenumber" name="166" href="#166">166</a>         };
+<a class="jxr_linenumber" name="167" href="#167">167</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
+<a class="jxr_linenumber" name="168" href="#168">168</a>         g.setSeed(16069223052l);
+<a class="jxr_linenumber" name="169" href="#169">169</a>         RandomVectorGenerator generator =
+<a class="jxr_linenumber" name="170" href="#170">170</a>                 <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
+<a class="jxr_linenumber" name="171" href="#171">171</a>         MultiStartMultivariateVectorOptimizer optimizer =
+<a class="jxr_linenumber" name="172" href="#172">172</a>                 <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
+<a class="jxr_linenumber" name="173" href="#173">173</a> 
+<a class="jxr_linenumber" name="174" href="#174">174</a>         optimizer.optimize(<strong class="jxr_keyword">new</strong> MaxEval(100),
+<a class="jxr_linenumber" name="175" href="#175">175</a>                            problem.getModelFunction(),
+<a class="jxr_linenumber" name="176" href="#176">176</a>                            problem.getModelFunctionJacobian(),
+<a class="jxr_linenumber" name="177" href="#177">177</a>                            problem.getTarget(),
+<a class="jxr_linenumber" name="178" href="#178">178</a>                            <strong class="jxr_keyword">new</strong> Weight(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 1 }),
+<a class="jxr_linenumber" name="179" href="#179">179</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }),
+<a class="jxr_linenumber" name="180" href="#180">180</a>                            <strong class="jxr_keyword">new</strong> SimpleBounds(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { -1.0e-10 }, <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {  1.0e-10 }));
+<a class="jxr_linenumber" name="181" href="#181">181</a>         PointVectorValuePair[] optima = optimizer.getOptima();
+<a class="jxr_linenumber" name="182" href="#182">182</a>         <em class="jxr_comment">// only the first start should have succeeded</em>
+<a class="jxr_linenumber" name="183" href="#183">183</a>         Assert.assertEquals(1, optima.length);
 <a class="jxr_linenumber" name="184" href="#184">184</a> 
-<a class="jxr_linenumber" name="185" href="#185">185</a>         <strong class="jxr_keyword">public</strong> Target getTarget() {
-<a class="jxr_linenumber" name="186" href="#186">186</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> Target(target);
-<a class="jxr_linenumber" name="187" href="#187">187</a>         }
-<a class="jxr_linenumber" name="188" href="#188">188</a> 
-<a class="jxr_linenumber" name="189" href="#189">189</a>         <strong class="jxr_keyword">public</strong> ModelFunction getModelFunction() {
-<a class="jxr_linenumber" name="190" href="#190">190</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> ModelFunction(<strong class="jxr_keyword">new</strong> MultivariateVectorFunction() {
-<a class="jxr_linenumber" name="191" href="#191">191</a>                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] value(<strong class="jxr_keyword">double</strong>[] variables) {
-<a class="jxr_linenumber" name="192" href="#192">192</a>                         <strong class="jxr_keyword">return</strong> factors.operate(variables);
-<a class="jxr_linenumber" name="193" href="#193">193</a>                     }
-<a class="jxr_linenumber" name="194" href="#194">194</a>                 });
-<a class="jxr_linenumber" name="195" href="#195">195</a>         }
-<a class="jxr_linenumber" name="196" href="#196">196</a> 
-<a class="jxr_linenumber" name="197" href="#197">197</a>         <strong class="jxr_keyword">public</strong> ModelFunctionJacobian getModelFunctionJacobian() {
-<a class="jxr_linenumber" name="198" href="#198">198</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> ModelFunctionJacobian(<strong class="jxr_keyword">new</strong> MultivariateMatrixFunction() {
-<a class="jxr_linenumber" name="199" href="#199">199</a>                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[][] value(<strong class="jxr_keyword">double</strong>[] point) {
-<a class="jxr_linenumber" name="200" href="#200">200</a>                         <strong class="jxr_keyword">return</strong> factors.getData();
-<a class="jxr_linenumber" name="201" href="#201">201</a>                     }
-<a class="jxr_linenumber" name="202" href="#202">202</a>                 });
-<a class="jxr_linenumber" name="203" href="#203">203</a>         }
-<a class="jxr_linenumber" name="204" href="#204">204</a>     }
-<a class="jxr_linenumber" name="205" href="#205">205</a> }
+<a class="jxr_linenumber" name="185" href="#185">185</a>     }
+<a class="jxr_linenumber" name="186" href="#186">186</a> 
+<a class="jxr_linenumber" name="187" href="#187">187</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="188" href="#188">188</a> <em class="jxr_javadoccomment">     * Test demonstrating that the user exception is finally thrown if none</em>
+<a class="jxr_linenumber" name="189" href="#189">189</a> <em class="jxr_javadoccomment">     * of the runs succeed.</em>
+<a class="jxr_linenumber" name="190" href="#190">190</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="191" href="#191">191</a>     @Test(expected=TestException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="192" href="#192">192</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testNoOptimum() {
+<a class="jxr_linenumber" name="193" href="#193">193</a>         JacobianMultivariateVectorOptimizer underlyingOptimizer
+<a class="jxr_linenumber" name="194" href="#194">194</a>             = <strong class="jxr_keyword">new</strong> GaussNewtonOptimizer(<strong class="jxr_keyword">true</strong>, <strong class="jxr_keyword">new</strong> SimpleVectorValueChecker(1e-6, 1e-6));
+<a class="jxr_linenumber" name="195" href="#195">195</a>         JDKRandomGenerator g = <strong class="jxr_keyword">new</strong> JDKRandomGenerator();
+<a class="jxr_linenumber" name="196" href="#196">196</a>         g.setSeed(12373523445l);
+<a class="jxr_linenumber" name="197" href="#197">197</a>         RandomVectorGenerator generator
+<a class="jxr_linenumber" name="198" href="#198">198</a>             = <strong class="jxr_keyword">new</strong> UncorrelatedRandomVectorGenerator(1, <strong class="jxr_keyword">new</strong> GaussianRandomGenerator(g));
+<a class="jxr_linenumber" name="199" href="#199">199</a>         MultiStartMultivariateVectorOptimizer optimizer
+<a class="jxr_linenumber" name="200" href="#200">200</a>             = <strong class="jxr_keyword">new</strong> MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
+<a class="jxr_linenumber" name="201" href="#201">201</a>         optimizer.optimize(<strong class="jxr_keyword">new</strong> MaxEval(100),
+<a class="jxr_linenumber" name="202" href="#202">202</a>                            <strong class="jxr_keyword">new</strong> Target(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }),
+<a class="jxr_linenumber" name="203" href="#203">203</a>                            <strong class="jxr_keyword">new</strong> Weight(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 1 }),
+<a class="jxr_linenumber" name="204" href="#204">204</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(<strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] { 0 }),
+<a class="jxr_linenumber" name="205" href="#205">205</a>                            <strong class="jxr_keyword">new</strong> ModelFunction(<strong class="jxr_keyword">new</strong> MultivariateVectorFunction() {
+<a class="jxr_linenumber" name="206" href="#206">206</a>                                    <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] value(<strong class="jxr_keyword">double</strong>[] point) {
+<a class="jxr_linenumber" name="207" href="#207">207</a>                                        <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html">TestException</a>();
+<a class="jxr_linenumber" name="208" href="#208">208</a>                                    }
+<a class="jxr_linenumber" name="209" href="#209">209</a>                                }));
+<a class="jxr_linenumber" name="210" href="#210">210</a>     }
+<a class="jxr_linenumber" name="211" href="#211">211</a> 
+<a class="jxr_linenumber" name="212" href="#212">212</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html">TestException</a> <strong class="jxr_keyword">extends</strong> RuntimeException {
+<a class="jxr_linenumber" name="213" href="#213">213</a> 
+<a class="jxr_linenumber" name="214" href="#214">214</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> serialVersionUID = 1L;}
+<a class="jxr_linenumber" name="215" href="#215">215</a> 
+<a class="jxr_linenumber" name="216" href="#216">216</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a> {
+<a class="jxr_linenumber" name="217" href="#217">217</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> RealMatrix factors;
+<a class="jxr_linenumber" name="218" href="#218">218</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] target;
+<a class="jxr_linenumber" name="219" href="#219">219</a> 
+<a class="jxr_linenumber" name="220" href="#220">220</a>         <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.html">LinearProblem</a>(<strong class="jxr_keyword">double</strong>[][] factors,
+<a class="jxr_linenumber" name="221" href="#221">221</a>                              <strong class="jxr_keyword">double</strong>[] target) {
+<a class="jxr_linenumber" name="222" href="#222">222</a>             <strong class="jxr_keyword">this</strong>.factors = <strong class="jxr_keyword">new</strong> BlockRealMatrix(factors);
+<a class="jxr_linenumber" name="223" href="#223">223</a>             <strong class="jxr_keyword">this</strong>.target  = target;
+<a class="jxr_linenumber" name="224" href="#224">224</a>         }
+<a class="jxr_linenumber" name="225" href="#225">225</a> 
+<a class="jxr_linenumber" name="226" href="#226">226</a>         <strong class="jxr_keyword">public</strong> Target getTarget() {
+<a class="jxr_linenumber" name="227" href="#227">227</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> Target(target);
+<a class="jxr_linenumber" name="228" href="#228">228</a>         }
+<a class="jxr_linenumber" name="229" href="#229">229</a> 
+<a class="jxr_linenumber" name="230" href="#230">230</a>         <strong class="jxr_keyword">public</strong> ModelFunction getModelFunction() {
+<a class="jxr_linenumber" name="231" href="#231">231</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> ModelFunction(<strong class="jxr_keyword">new</strong> MultivariateVectorFunction() {
+<a class="jxr_linenumber" name="232" href="#232">232</a>                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] value(<strong class="jxr_keyword">double</strong>[] variables) {
+<a class="jxr_linenumber" name="233" href="#233">233</a>                         <strong class="jxr_keyword">return</strong> factors.operate(variables);
+<a class="jxr_linenumber" name="234" href="#234">234</a>                     }
+<a class="jxr_linenumber" name="235" href="#235">235</a>                 });
+<a class="jxr_linenumber" name="236" href="#236">236</a>         }
+<a class="jxr_linenumber" name="237" href="#237">237</a> 
+<a class="jxr_linenumber" name="238" href="#238">238</a>         <strong class="jxr_keyword">public</strong> ModelFunctionJacobian getModelFunctionJacobian() {
+<a class="jxr_linenumber" name="239" href="#239">239</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> ModelFunctionJacobian(<strong class="jxr_keyword">new</strong> MultivariateMatrixFunction() {
+<a class="jxr_linenumber" name="240" href="#240">240</a>                     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[][] value(<strong class="jxr_keyword">double</strong>[] point) {
+<a class="jxr_linenumber" name="241" href="#241">241</a>                         <strong class="jxr_keyword">return</strong> factors.getData();
+<a class="jxr_linenumber" name="242" href="#242">242</a>                     }
+<a class="jxr_linenumber" name="243" href="#243">243</a>                 });
+<a class="jxr_linenumber" name="244" href="#244">244</a>         }
+<a class="jxr_linenumber" name="245" href="#245">245</a>     }
+<a class="jxr_linenumber" name="246" href="#246">246</a> }
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