commons-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From l..@apache.org
Subject svn commit: r857590 [25/48] - 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/scalar/noderiv/BOBYQAOptimizerTest.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html (original)
+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html Sun Apr  7 07:52:05 2013
@@ -40,601 +40,604 @@
 <a class="jxr_linenumber" name="30" href="#30">30</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.InitialGuess;
 <a class="jxr_linenumber" name="31" href="#31">31</a>  <strong class="jxr_keyword">import</strong> org.apache.commons.math3.optim.SimpleBounds;
 <a class="jxr_linenumber" name="32" href="#32">32</a>  <strong class="jxr_keyword">import</strong> org.junit.Assert;
-<a class="jxr_linenumber" name="33" href="#33">33</a>  <strong class="jxr_keyword">import</strong> org.junit.Test;
-<a class="jxr_linenumber" name="34" href="#34">34</a>  
-<a class="jxr_linenumber" name="35" href="#35">35</a>  <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="36" href="#36">36</a>  <em class="jxr_javadoccomment"> * Test for {@link BOBYQAOptimizer}.</em>
-<a class="jxr_linenumber" name="37" href="#37">37</a>  <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="38" href="#38">38</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">BOBYQAOptimizerTest</a> {
-<a class="jxr_linenumber" name="39" href="#39">39</a>  
-<a class="jxr_linenumber" name="40" href="#40">40</a>      <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> DIM = 13;
-<a class="jxr_linenumber" name="41" href="#41">41</a>     
-<a class="jxr_linenumber" name="42" href="#42">42</a>      @Test(expected=NumberIsTooLargeException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="43" href="#43">43</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testInitOutOfBounds() {
-<a class="jxr_linenumber" name="44" href="#44">44</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 3);
-<a class="jxr_linenumber" name="45" href="#45">45</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM, -1, 2);
-<a class="jxr_linenumber" name="46" href="#46">46</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="47" href="#47">47</a>                  GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="48" href="#48">48</a>                  1e-13, 1e-6, 2000, <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="49" href="#49">49</a>      }
-<a class="jxr_linenumber" name="50" href="#50">50</a>      
-<a class="jxr_linenumber" name="51" href="#51">51</a>      @Test(expected=DimensionMismatchException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="52" href="#52">52</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testBoundariesDimensionMismatch() {
-<a class="jxr_linenumber" name="53" href="#53">53</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 0.5);
-<a class="jxr_linenumber" name="54" href="#54">54</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM + 1, -1, 2);
-<a class="jxr_linenumber" name="55" href="#55">55</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="56" href="#56">56</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="57" href="#57">57</a>                 1e-13, 1e-6, 2000, <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="58" href="#58">58</a>      }
-<a class="jxr_linenumber" name="59" href="#59">59</a>  
-<a class="jxr_linenumber" name="60" href="#60">60</a>      @Test(expected=NumberIsTooSmallException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="61" href="#61">61</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testProblemDimensionTooSmall() {
-<a class="jxr_linenumber" name="62" href="#62">62</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(1, 0.5);
-<a class="jxr_linenumber" name="63" href="#63">63</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, <strong class="jxr_keyword">null</strong>,
-<a class="jxr_linenumber" name="64" href="#64">64</a>                 GoalType.MINIMIZE,
-<a class="jxr_linenumber" name="65" href="#65">65</a>                 1e-13, 1e-6, 2000, <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="66" href="#66">66</a>      }
-<a class="jxr_linenumber" name="67" href="#67">67</a>  
-<a class="jxr_linenumber" name="68" href="#68">68</a>      @Test(expected=TooManyEvaluationsException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="69" href="#69">69</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testMaxEvaluations() {
-<a class="jxr_linenumber" name="70" href="#70">70</a>          <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> lowMaxEval = 2;
-<a class="jxr_linenumber" name="71" href="#71">71</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 0.1);
-<a class="jxr_linenumber" name="72" href="#72">72</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="73" href="#73">73</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="74" href="#74">74</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="75" href="#75">75</a>                 1e-13, 1e-6, lowMaxEval, <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="76" href="#76">76</a>       }
-<a class="jxr_linenumber" name="77" href="#77">77</a>  
-<a class="jxr_linenumber" name="78" href="#78">78</a>      @Test
-<a class="jxr_linenumber" name="79" href="#79">79</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testRosen() {
-<a class="jxr_linenumber" name="80" href="#80">80</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,0.1);
-<a class="jxr_linenumber" name="81" href="#81">81</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="82" href="#82">82</a>          PointValuePair expected = <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,1.0),0.0);
-<a class="jxr_linenumber" name="83" href="#83">83</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="84" href="#84">84</a>                  GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="85" href="#85">85</a>                  1e-13, 1e-6, 2000, expected);
-<a class="jxr_linenumber" name="86" href="#86">86</a>       }
-<a class="jxr_linenumber" name="87" href="#87">87</a>  
-<a class="jxr_linenumber" name="88" href="#88">88</a>      @Test
-<a class="jxr_linenumber" name="89" href="#89">89</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testMaximize() {
-<a class="jxr_linenumber" name="90" href="#90">90</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="91" href="#91">91</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="92" href="#92">92</a>          PointValuePair expected = <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),1.0);
-<a class="jxr_linenumber" name="93" href="#93">93</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">MinusElli</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="94" href="#94">94</a>                  GoalType.MAXIMIZE, 
-<a class="jxr_linenumber" name="95" href="#95">95</a>                  2e-10, 5e-6, 1000, expected);
-<a class="jxr_linenumber" name="96" href="#96">96</a>          boundaries = boundaries(DIM,-0.3,0.3); 
-<a class="jxr_linenumber" name="97" href="#97">97</a>          startPoint = point(DIM,0.1);
-<a class="jxr_linenumber" name="98" href="#98">98</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">MinusElli</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="99" href="#99">99</a>                  GoalType.MAXIMIZE, 
-<a class="jxr_linenumber" name="100" href="#100">100</a>                 2e-10, 5e-6, 1000, expected);
-<a class="jxr_linenumber" name="101" href="#101">101</a>     }
-<a class="jxr_linenumber" name="102" href="#102">102</a> 
-<a class="jxr_linenumber" name="103" href="#103">103</a>     @Test
-<a class="jxr_linenumber" name="104" href="#104">104</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testEllipse() {
-<a class="jxr_linenumber" name="105" href="#105">105</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="106" href="#106">106</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="107" href="#107">107</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="108" href="#108">108</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="109" href="#109">109</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Elli</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="110" href="#110">110</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="111" href="#111">111</a>                 1e-13, 1e-6, 1000, expected);
-<a class="jxr_linenumber" name="112" href="#112">112</a>      }
-<a class="jxr_linenumber" name="113" href="#113">113</a> 
-<a class="jxr_linenumber" name="114" href="#114">114</a>     @Test
-<a class="jxr_linenumber" name="115" href="#115">115</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testElliRotated() {
-<a class="jxr_linenumber" name="116" href="#116">116</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="117" href="#117">117</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="118" href="#118">118</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="119" href="#119">119</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="120" href="#120">120</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">ElliRotated</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="121" href="#121">121</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="122" href="#122">122</a>                 1e-12, 1e-6, 10000, expected);
-<a class="jxr_linenumber" name="123" href="#123">123</a>     }
-<a class="jxr_linenumber" name="124" href="#124">124</a> 
-<a class="jxr_linenumber" name="125" href="#125">125</a>     @Test
-<a class="jxr_linenumber" name="126" href="#126">126</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testCigar() {
-<a class="jxr_linenumber" name="127" href="#127">127</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="128" href="#128">128</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="129" href="#129">129</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="130" href="#130">130</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="131" href="#131">131</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Cigar</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="132" href="#132">132</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="133" href="#133">133</a>                 1e-13, 1e-6, 100, expected);
-<a class="jxr_linenumber" name="134" href="#134">134</a>     }
-<a class="jxr_linenumber" name="135" href="#135">135</a> 
-<a class="jxr_linenumber" name="136" href="#136">136</a>     @Test
-<a class="jxr_linenumber" name="137" href="#137">137</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testTwoAxes() {
-<a class="jxr_linenumber" name="138" href="#138">138</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="139" href="#139">139</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="140" href="#140">140</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="141" href="#141">141</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="142" href="#142">142</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">TwoAxes</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="143" href="#143">143</a>                 GoalType.MINIMIZE, 2*
-<a class="jxr_linenumber" name="144" href="#144">144</a>                 1e-13, 1e-6, 100, expected);
-<a class="jxr_linenumber" name="145" href="#145">145</a>      }
-<a class="jxr_linenumber" name="146" href="#146">146</a> 
-<a class="jxr_linenumber" name="147" href="#147">147</a>     @Test
-<a class="jxr_linenumber" name="148" href="#148">148</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testCigTab() {
-<a class="jxr_linenumber" name="149" href="#149">149</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="150" href="#150">150</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="151" href="#151">151</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="152" href="#152">152</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="153" href="#153">153</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">CigTab</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="154" href="#154">154</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="155" href="#155">155</a>                 1e-13, 5e-5, 100, expected);
-<a class="jxr_linenumber" name="156" href="#156">156</a>      }
-<a class="jxr_linenumber" name="157" href="#157">157</a> 
-<a class="jxr_linenumber" name="158" href="#158">158</a>     @Test
-<a class="jxr_linenumber" name="159" href="#159">159</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSphere() {
-<a class="jxr_linenumber" name="160" href="#160">160</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="161" href="#161">161</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="162" href="#162">162</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="163" href="#163">163</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="164" href="#164">164</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Sphere</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="165" href="#165">165</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="166" href="#166">166</a>                 1e-13, 1e-6, 100, expected);
-<a class="jxr_linenumber" name="167" href="#167">167</a>     }
-<a class="jxr_linenumber" name="168" href="#168">168</a> 
-<a class="jxr_linenumber" name="169" href="#169">169</a>     @Test
-<a class="jxr_linenumber" name="170" href="#170">170</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testTablet() {
-<a class="jxr_linenumber" name="171" href="#171">171</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0); 
-<a class="jxr_linenumber" name="172" href="#172">172</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="173" href="#173">173</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="174" href="#174">174</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="175" href="#175">175</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Tablet</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="176" href="#176">176</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="177" href="#177">177</a>                 1e-13, 1e-6, 100, expected);
-<a class="jxr_linenumber" name="178" href="#178">178</a>     }
-<a class="jxr_linenumber" name="179" href="#179">179</a> 
-<a class="jxr_linenumber" name="180" href="#180">180</a>     @Test
-<a class="jxr_linenumber" name="181" href="#181">181</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testDiffPow() {
-<a class="jxr_linenumber" name="182" href="#182">182</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM/2,1.0);
-<a class="jxr_linenumber" name="183" href="#183">183</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="184" href="#184">184</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="185" href="#185">185</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM/2,0.0),0.0);
-<a class="jxr_linenumber" name="186" href="#186">186</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">DiffPow</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="187" href="#187">187</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="188" href="#188">188</a>                 1e-8, 1e-1, 12000, expected);
-<a class="jxr_linenumber" name="189" href="#189">189</a>     }
-<a class="jxr_linenumber" name="190" href="#190">190</a> 
-<a class="jxr_linenumber" name="191" href="#191">191</a>     @Test
-<a class="jxr_linenumber" name="192" href="#192">192</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSsDiffPow() {
-<a class="jxr_linenumber" name="193" href="#193">193</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM/2,1.0);
-<a class="jxr_linenumber" name="194" href="#194">194</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="195" href="#195">195</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="196" href="#196">196</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM/2,0.0),0.0);
-<a class="jxr_linenumber" name="197" href="#197">197</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">SsDiffPow</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="198" href="#198">198</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="199" href="#199">199</a>                 1e-2, 1.3e-1, 50000, expected);
-<a class="jxr_linenumber" name="200" href="#200">200</a>     }
-<a class="jxr_linenumber" name="201" href="#201">201</a> 
-<a class="jxr_linenumber" name="202" href="#202">202</a>     @Test
-<a class="jxr_linenumber" name="203" href="#203">203</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testAckley() {
-<a class="jxr_linenumber" name="204" href="#204">204</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,0.1);
-<a class="jxr_linenumber" name="205" href="#205">205</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="206" href="#206">206</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="207" href="#207">207</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="208" href="#208">208</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Ackley</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="209" href="#209">209</a>                 GoalType.MINIMIZE,
-<a class="jxr_linenumber" name="210" href="#210">210</a>                 1e-8, 1e-5, 1000, expected);
-<a class="jxr_linenumber" name="211" href="#211">211</a>     }
-<a class="jxr_linenumber" name="212" href="#212">212</a> 
-<a class="jxr_linenumber" name="213" href="#213">213</a>     @Test
-<a class="jxr_linenumber" name="214" href="#214">214</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testRastrigin() {
-<a class="jxr_linenumber" name="215" href="#215">215</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
-<a class="jxr_linenumber" name="216" href="#216">216</a> 
-<a class="jxr_linenumber" name="217" href="#217">217</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="218" href="#218">218</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="219" href="#219">219</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
-<a class="jxr_linenumber" name="220" href="#220">220</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rastrigin</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="221" href="#221">221</a>                 GoalType.MINIMIZE, 
-<a class="jxr_linenumber" name="222" href="#222">222</a>                 1e-13, 1e-6, 1000, expected);
-<a class="jxr_linenumber" name="223" href="#223">223</a>     }
-<a class="jxr_linenumber" name="224" href="#224">224</a> 
-<a class="jxr_linenumber" name="225" href="#225">225</a>     @Test
-<a class="jxr_linenumber" name="226" href="#226">226</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testConstrainedRosen() {
-<a class="jxr_linenumber" name="227" href="#227">227</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,0.1);
-<a class="jxr_linenumber" name="228" href="#228">228</a> 
-<a class="jxr_linenumber" name="229" href="#229">229</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM,-1,2);
-<a class="jxr_linenumber" name="230" href="#230">230</a>         PointValuePair expected =
-<a class="jxr_linenumber" name="231" href="#231">231</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,1.0),0.0);
-<a class="jxr_linenumber" name="232" href="#232">232</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="233" href="#233">233</a>                 GoalType.MINIMIZE,
-<a class="jxr_linenumber" name="234" href="#234">234</a>                 1e-13, 1e-6, 2000, expected);
-<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>     <em class="jxr_comment">// See MATH-728</em>
-<a class="jxr_linenumber" name="238" href="#238">238</a>     @Test
-<a class="jxr_linenumber" name="239" href="#239">239</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testConstrainedRosenWithMoreInterpolationPoints() {
-<a class="jxr_linenumber" name="240" href="#240">240</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 0.1);
-<a class="jxr_linenumber" name="241" href="#241">241</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM, -1, 2);
-<a class="jxr_linenumber" name="242" href="#242">242</a>         <strong class="jxr_keyword">final</strong> PointValuePair expected = <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM, 1.0), 0.0);
-<a class="jxr_linenumber" name="243" href="#243">243</a> 
-<a class="jxr_linenumber" name="244" href="#244">244</a>         <em class="jxr_comment">// This should have been 78 because in the code the hard limit is</em>
-<a class="jxr_linenumber" name="245" href="#245">245</a>         <em class="jxr_comment">// said to be</em>
-<a class="jxr_linenumber" name="246" href="#246">246</a>         <em class="jxr_comment">//   ((DIM + 1) * (DIM + 2)) / 2 - (2 * DIM + 1)</em>
-<a class="jxr_linenumber" name="247" href="#247">247</a>         <em class="jxr_comment">// i.e. 78 in this case, but the test fails for 48, 59, 62, 63, 64,</em>
-<a class="jxr_linenumber" name="248" href="#248">248</a>         <em class="jxr_comment">// 65, 66, ...</em>
-<a class="jxr_linenumber" name="249" href="#249">249</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> maxAdditionalPoints = 47;
-<a class="jxr_linenumber" name="250" href="#250">250</a> 
-<a class="jxr_linenumber" name="251" href="#251">251</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> num = 1; num &lt;= maxAdditionalPoints; num++) {
-<a class="jxr_linenumber" name="252" href="#252">252</a>             doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
-<a class="jxr_linenumber" name="253" href="#253">253</a>                    GoalType.MINIMIZE,
-<a class="jxr_linenumber" name="254" href="#254">254</a>                    1e-12, 1e-6, 2000,
-<a class="jxr_linenumber" name="255" href="#255">255</a>                    num,
-<a class="jxr_linenumber" name="256" href="#256">256</a>                    expected,
-<a class="jxr_linenumber" name="257" href="#257">257</a>                    <span class="jxr_string">"num="</span> + num);
-<a class="jxr_linenumber" name="258" href="#258">258</a>         }
-<a class="jxr_linenumber" name="259" href="#259">259</a>     }
-<a class="jxr_linenumber" name="260" href="#260">260</a> 
-<a class="jxr_linenumber" name="261" href="#261">261</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="262" href="#262">262</a> <em class="jxr_javadoccomment">     * @param func Function to optimize.</em>
-<a class="jxr_linenumber" name="263" href="#263">263</a> <em class="jxr_javadoccomment">     * @param startPoint Starting point.</em>
-<a class="jxr_linenumber" name="264" href="#264">264</a> <em class="jxr_javadoccomment">     * @param boundaries Upper / lower point limit.</em>
-<a class="jxr_linenumber" name="265" href="#265">265</a> <em class="jxr_javadoccomment">     * @param goal Minimization or maximization.</em>
-<a class="jxr_linenumber" name="266" href="#266">266</a> <em class="jxr_javadoccomment">     * @param fTol Tolerance relative error on the objective function.</em>
-<a class="jxr_linenumber" name="267" href="#267">267</a> <em class="jxr_javadoccomment">     * @param pointTol Tolerance for checking that the optimum is correct.</em>
-<a class="jxr_linenumber" name="268" href="#268">268</a> <em class="jxr_javadoccomment">     * @param maxEvaluations Maximum number of evaluations.</em>
-<a class="jxr_linenumber" name="269" href="#269">269</a> <em class="jxr_javadoccomment">     * @param expected Expected point / value.</em>
-<a class="jxr_linenumber" name="270" href="#270">270</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="271" href="#271">271</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> doTest(MultivariateFunction func,
-<a class="jxr_linenumber" name="272" href="#272">272</a>                         <strong class="jxr_keyword">double</strong>[] startPoint,
-<a class="jxr_linenumber" name="273" href="#273">273</a>                         <strong class="jxr_keyword">double</strong>[][] boundaries,
-<a class="jxr_linenumber" name="274" href="#274">274</a>                         GoalType goal,
-<a class="jxr_linenumber" name="275" href="#275">275</a>                         <strong class="jxr_keyword">double</strong> fTol,
-<a class="jxr_linenumber" name="276" href="#276">276</a>                         <strong class="jxr_keyword">double</strong> pointTol,
-<a class="jxr_linenumber" name="277" href="#277">277</a>                         <strong class="jxr_keyword">int</strong> maxEvaluations,
-<a class="jxr_linenumber" name="278" href="#278">278</a>                         PointValuePair expected) {
-<a class="jxr_linenumber" name="279" href="#279">279</a>         doTest(func,
-<a class="jxr_linenumber" name="280" href="#280">280</a>                startPoint,
-<a class="jxr_linenumber" name="281" href="#281">281</a>                boundaries,
-<a class="jxr_linenumber" name="282" href="#282">282</a>                goal,
-<a class="jxr_linenumber" name="283" href="#283">283</a>                fTol,
-<a class="jxr_linenumber" name="284" href="#284">284</a>                pointTol,
-<a class="jxr_linenumber" name="285" href="#285">285</a>                maxEvaluations,
-<a class="jxr_linenumber" name="286" href="#286">286</a>                0,
-<a class="jxr_linenumber" name="287" href="#287">287</a>                expected,
-<a class="jxr_linenumber" name="288" href="#288">288</a>                <span class="jxr_string">""</span>);
-<a class="jxr_linenumber" name="289" href="#289">289</a>     }
-<a class="jxr_linenumber" name="290" href="#290">290</a> 
-<a class="jxr_linenumber" name="291" href="#291">291</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="292" href="#292">292</a> <em class="jxr_javadoccomment">     * @param func Function to optimize.</em>
-<a class="jxr_linenumber" name="293" href="#293">293</a> <em class="jxr_javadoccomment">     * @param startPoint Starting point.</em>
-<a class="jxr_linenumber" name="294" href="#294">294</a> <em class="jxr_javadoccomment">     * @param boundaries Upper / lower point limit.</em>
-<a class="jxr_linenumber" name="295" href="#295">295</a> <em class="jxr_javadoccomment">     * @param goal Minimization or maximization.</em>
-<a class="jxr_linenumber" name="296" href="#296">296</a> <em class="jxr_javadoccomment">     * @param fTol Tolerance relative error on the objective function.</em>
-<a class="jxr_linenumber" name="297" href="#297">297</a> <em class="jxr_javadoccomment">     * @param pointTol Tolerance for checking that the optimum is correct.</em>
-<a class="jxr_linenumber" name="298" href="#298">298</a> <em class="jxr_javadoccomment">     * @param maxEvaluations Maximum number of evaluations.</em>
-<a class="jxr_linenumber" name="299" href="#299">299</a> <em class="jxr_javadoccomment">     * @param additionalInterpolationPoints Number of interpolation to used</em>
-<a class="jxr_linenumber" name="300" href="#300">300</a> <em class="jxr_javadoccomment">     * in addition to the default (2 * dim + 1).</em>
-<a class="jxr_linenumber" name="301" href="#301">301</a> <em class="jxr_javadoccomment">     * @param expected Expected point / value.</em>
-<a class="jxr_linenumber" name="302" href="#302">302</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="303" href="#303">303</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> doTest(MultivariateFunction func,
-<a class="jxr_linenumber" name="304" href="#304">304</a>                         <strong class="jxr_keyword">double</strong>[] startPoint,
-<a class="jxr_linenumber" name="305" href="#305">305</a>                         <strong class="jxr_keyword">double</strong>[][] boundaries,
-<a class="jxr_linenumber" name="306" href="#306">306</a>                         GoalType goal,
-<a class="jxr_linenumber" name="307" href="#307">307</a>                         <strong class="jxr_keyword">double</strong> fTol,
-<a class="jxr_linenumber" name="308" href="#308">308</a>                         <strong class="jxr_keyword">double</strong> pointTol,
-<a class="jxr_linenumber" name="309" href="#309">309</a>                         <strong class="jxr_keyword">int</strong> maxEvaluations,
-<a class="jxr_linenumber" name="310" href="#310">310</a>                         <strong class="jxr_keyword">int</strong> additionalInterpolationPoints,
-<a class="jxr_linenumber" name="311" href="#311">311</a>                         PointValuePair expected,
-<a class="jxr_linenumber" name="312" href="#312">312</a>                         String assertMsg) {
-<a class="jxr_linenumber" name="313" href="#313">313</a> 
-<a class="jxr_linenumber" name="314" href="#314">314</a> <em class="jxr_comment">//         System.out.println(func.getClass().getName() + " BEGIN"); // XXX</em>
-<a class="jxr_linenumber" name="315" href="#315">315</a> 
-<a class="jxr_linenumber" name="316" href="#316">316</a>         <strong class="jxr_keyword">int</strong> dim = startPoint.length;
-<a class="jxr_linenumber" name="317" href="#317">317</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> numIterpolationPoints = 2 * dim + 1 + additionalInterpolationPoints;
-<a class="jxr_linenumber" name="318" href="#318">318</a>         BOBYQAOptimizer optim = <strong class="jxr_keyword">new</strong> BOBYQAOptimizer(numIterpolationPoints);
-<a class="jxr_linenumber" name="319" href="#319">319</a>         PointValuePair result = boundaries == <strong class="jxr_keyword">null</strong> ?
-<a class="jxr_linenumber" name="320" href="#320">320</a>             optim.optimize(<strong class="jxr_keyword">new</strong> MaxEval(maxEvaluations),
-<a class="jxr_linenumber" name="321" href="#321">321</a>                            <strong class="jxr_keyword">new</strong> ObjectiveFunction(func),
-<a class="jxr_linenumber" name="322" href="#322">322</a>                            goal,
-<a class="jxr_linenumber" name="323" href="#323">323</a>                            SimpleBounds.unbounded(dim),
-<a class="jxr_linenumber" name="324" href="#324">324</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(startPoint)) :
-<a class="jxr_linenumber" name="325" href="#325">325</a>             optim.optimize(<strong class="jxr_keyword">new</strong> MaxEval(maxEvaluations),
-<a class="jxr_linenumber" name="326" href="#326">326</a>                            <strong class="jxr_keyword">new</strong> ObjectiveFunction(func),
-<a class="jxr_linenumber" name="327" href="#327">327</a>                            goal,
-<a class="jxr_linenumber" name="328" href="#328">328</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(startPoint),
-<a class="jxr_linenumber" name="329" href="#329">329</a>                            <strong class="jxr_keyword">new</strong> SimpleBounds(boundaries[0],
-<a class="jxr_linenumber" name="330" href="#330">330</a>                                             boundaries[1]));
-<a class="jxr_linenumber" name="331" href="#331">331</a> <em class="jxr_comment">//        System.out.println(func.getClass().getName() + " = " </em>
-<a class="jxr_linenumber" name="332" href="#332">332</a> <em class="jxr_comment">//              + optim.getEvaluations() + " f(");</em>
-<a class="jxr_linenumber" name="333" href="#333">333</a> <em class="jxr_comment">//        for (double x: result.getPoint())  System.out.print(x + " ");</em>
-<a class="jxr_linenumber" name="334" href="#334">334</a> <em class="jxr_comment">//        System.out.println(") = " +  result.getValue());</em>
-<a class="jxr_linenumber" name="335" href="#335">335</a>         Assert.assertEquals(assertMsg, expected.getValue(), result.getValue(), fTol);
-<a class="jxr_linenumber" name="336" href="#336">336</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; dim; i++) {
-<a class="jxr_linenumber" name="337" href="#337">337</a>             Assert.assertEquals(expected.getPoint()[i],
-<a class="jxr_linenumber" name="338" href="#338">338</a>                                 result.getPoint()[i], pointTol);
-<a class="jxr_linenumber" name="339" href="#339">339</a>         }
-<a class="jxr_linenumber" name="340" href="#340">340</a> 
-<a class="jxr_linenumber" name="341" href="#341">341</a> <em class="jxr_comment">//         System.out.println(func.getClass().getName() + " END"); // XXX</em>
-<a class="jxr_linenumber" name="342" href="#342">342</a>     }
+<a class="jxr_linenumber" name="33" href="#33">33</a>  <strong class="jxr_keyword">import</strong> org.junit.Ignore;
+<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"> * Test for {@link BOBYQAOptimizer}.</em>
+<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>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">BOBYQAOptimizerTest</a> {
+<a class="jxr_linenumber" name="40" href="#40">40</a>  
+<a class="jxr_linenumber" name="41" href="#41">41</a>      <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> DIM = 13;
+<a class="jxr_linenumber" name="42" href="#42">42</a>     
+<a class="jxr_linenumber" name="43" href="#43">43</a>      @Test(expected=NumberIsTooLargeException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="44" href="#44">44</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testInitOutOfBounds() {
+<a class="jxr_linenumber" name="45" href="#45">45</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 3);
+<a class="jxr_linenumber" name="46" href="#46">46</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM, -1, 2);
+<a class="jxr_linenumber" name="47" href="#47">47</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="48" href="#48">48</a>                  GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="49" href="#49">49</a>                  1e-13, 1e-6, 2000, <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="50" href="#50">50</a>      }
+<a class="jxr_linenumber" name="51" href="#51">51</a>      
+<a class="jxr_linenumber" name="52" href="#52">52</a>      @Test(expected=DimensionMismatchException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="53" href="#53">53</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testBoundariesDimensionMismatch() {
+<a class="jxr_linenumber" name="54" href="#54">54</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 0.5);
+<a class="jxr_linenumber" name="55" href="#55">55</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM + 1, -1, 2);
+<a class="jxr_linenumber" name="56" href="#56">56</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="57" href="#57">57</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="58" href="#58">58</a>                 1e-13, 1e-6, 2000, <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="59" href="#59">59</a>      }
+<a class="jxr_linenumber" name="60" href="#60">60</a>  
+<a class="jxr_linenumber" name="61" href="#61">61</a>      @Test(expected=NumberIsTooSmallException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="62" href="#62">62</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testProblemDimensionTooSmall() {
+<a class="jxr_linenumber" name="63" href="#63">63</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(1, 0.5);
+<a class="jxr_linenumber" name="64" href="#64">64</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, <strong class="jxr_keyword">null</strong>,
+<a class="jxr_linenumber" name="65" href="#65">65</a>                 GoalType.MINIMIZE,
+<a class="jxr_linenumber" name="66" href="#66">66</a>                 1e-13, 1e-6, 2000, <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="67" href="#67">67</a>      }
+<a class="jxr_linenumber" name="68" href="#68">68</a>  
+<a class="jxr_linenumber" name="69" href="#69">69</a>      @Test(expected=TooManyEvaluationsException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="70" href="#70">70</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testMaxEvaluations() {
+<a class="jxr_linenumber" name="71" href="#71">71</a>          <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> lowMaxEval = 2;
+<a class="jxr_linenumber" name="72" href="#72">72</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 0.1);
+<a class="jxr_linenumber" name="73" href="#73">73</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="74" href="#74">74</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="75" href="#75">75</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="76" href="#76">76</a>                 1e-13, 1e-6, lowMaxEval, <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="77" href="#77">77</a>       }
+<a class="jxr_linenumber" name="78" href="#78">78</a>  
+<a class="jxr_linenumber" name="79" href="#79">79</a>      @Test
+<a class="jxr_linenumber" name="80" href="#80">80</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testRosen() {
+<a class="jxr_linenumber" name="81" href="#81">81</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,0.1);
+<a class="jxr_linenumber" name="82" href="#82">82</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="83" href="#83">83</a>          PointValuePair expected = <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,1.0),0.0);
+<a class="jxr_linenumber" name="84" href="#84">84</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="85" href="#85">85</a>                  GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="86" href="#86">86</a>                  1e-13, 1e-6, 2000, expected);
+<a class="jxr_linenumber" name="87" href="#87">87</a>       }
+<a class="jxr_linenumber" name="88" href="#88">88</a>  
+<a class="jxr_linenumber" name="89" href="#89">89</a>      @Test
+<a class="jxr_linenumber" name="90" href="#90">90</a>      <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testMaximize() {
+<a class="jxr_linenumber" name="91" href="#91">91</a>          <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="92" href="#92">92</a>          <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="93" href="#93">93</a>          PointValuePair expected = <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),1.0);
+<a class="jxr_linenumber" name="94" href="#94">94</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">MinusElli</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="95" href="#95">95</a>                  GoalType.MAXIMIZE, 
+<a class="jxr_linenumber" name="96" href="#96">96</a>                  2e-10, 5e-6, 1000, expected);
+<a class="jxr_linenumber" name="97" href="#97">97</a>          boundaries = boundaries(DIM,-0.3,0.3); 
+<a class="jxr_linenumber" name="98" href="#98">98</a>          startPoint = point(DIM,0.1);
+<a class="jxr_linenumber" name="99" href="#99">99</a>          doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">MinusElli</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="100" href="#100">100</a>                 GoalType.MAXIMIZE, 
+<a class="jxr_linenumber" name="101" href="#101">101</a>                 2e-10, 5e-6, 1000, expected);
+<a class="jxr_linenumber" name="102" href="#102">102</a>     }
+<a class="jxr_linenumber" name="103" href="#103">103</a> 
+<a class="jxr_linenumber" name="104" href="#104">104</a>     @Test
+<a class="jxr_linenumber" name="105" href="#105">105</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testEllipse() {
+<a class="jxr_linenumber" name="106" href="#106">106</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="107" href="#107">107</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="108" href="#108">108</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="109" href="#109">109</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="110" href="#110">110</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Elli</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="111" href="#111">111</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="112" href="#112">112</a>                 1e-13, 1e-6, 1000, expected);
+<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> testElliRotated() {
+<a class="jxr_linenumber" name="117" href="#117">117</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="118" href="#118">118</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="119" href="#119">119</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="120" href="#120">120</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="121" href="#121">121</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">ElliRotated</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="122" href="#122">122</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="123" href="#123">123</a>                 1e-12, 1e-6, 10000, expected);
+<a class="jxr_linenumber" name="124" href="#124">124</a>     }
+<a class="jxr_linenumber" name="125" href="#125">125</a> 
+<a class="jxr_linenumber" name="126" href="#126">126</a>     @Test
+<a class="jxr_linenumber" name="127" href="#127">127</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testCigar() {
+<a class="jxr_linenumber" name="128" href="#128">128</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="129" href="#129">129</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="130" href="#130">130</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="131" href="#131">131</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="132" href="#132">132</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Cigar</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="133" href="#133">133</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="134" href="#134">134</a>                 1e-13, 1e-6, 100, expected);
+<a class="jxr_linenumber" name="135" href="#135">135</a>     }
+<a class="jxr_linenumber" name="136" href="#136">136</a> 
+<a class="jxr_linenumber" name="137" href="#137">137</a>     @Test
+<a class="jxr_linenumber" name="138" href="#138">138</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testTwoAxes() {
+<a class="jxr_linenumber" name="139" href="#139">139</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="140" href="#140">140</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="141" href="#141">141</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="142" href="#142">142</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="143" href="#143">143</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">TwoAxes</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="144" href="#144">144</a>                 GoalType.MINIMIZE, 2*
+<a class="jxr_linenumber" name="145" href="#145">145</a>                 1e-13, 1e-6, 100, expected);
+<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>     @Test
+<a class="jxr_linenumber" name="149" href="#149">149</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testCigTab() {
+<a class="jxr_linenumber" name="150" href="#150">150</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="151" href="#151">151</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="152" href="#152">152</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="153" href="#153">153</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="154" href="#154">154</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">CigTab</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="155" href="#155">155</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="156" href="#156">156</a>                 1e-13, 5e-5, 100, expected);
+<a class="jxr_linenumber" name="157" href="#157">157</a>      }
+<a class="jxr_linenumber" name="158" href="#158">158</a> 
+<a class="jxr_linenumber" name="159" href="#159">159</a>     @Test
+<a class="jxr_linenumber" name="160" href="#160">160</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSphere() {
+<a class="jxr_linenumber" name="161" href="#161">161</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="162" href="#162">162</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="163" href="#163">163</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="164" href="#164">164</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="165" href="#165">165</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Sphere</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="166" href="#166">166</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="167" href="#167">167</a>                 1e-13, 1e-6, 100, expected);
+<a class="jxr_linenumber" name="168" href="#168">168</a>     }
+<a class="jxr_linenumber" name="169" href="#169">169</a> 
+<a class="jxr_linenumber" name="170" href="#170">170</a>     @Test
+<a class="jxr_linenumber" name="171" href="#171">171</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testTablet() {
+<a class="jxr_linenumber" name="172" href="#172">172</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0); 
+<a class="jxr_linenumber" name="173" href="#173">173</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="174" href="#174">174</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="175" href="#175">175</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="176" href="#176">176</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Tablet</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="177" href="#177">177</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="178" href="#178">178</a>                 1e-13, 1e-6, 100, expected);
+<a class="jxr_linenumber" name="179" href="#179">179</a>     }
+<a class="jxr_linenumber" name="180" href="#180">180</a> 
+<a class="jxr_linenumber" name="181" href="#181">181</a>     @Test
+<a class="jxr_linenumber" name="182" href="#182">182</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testDiffPow() {
+<a class="jxr_linenumber" name="183" href="#183">183</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM/2,1.0);
+<a class="jxr_linenumber" name="184" href="#184">184</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="185" href="#185">185</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="186" href="#186">186</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM/2,0.0),0.0);
+<a class="jxr_linenumber" name="187" href="#187">187</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">DiffPow</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="188" href="#188">188</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="189" href="#189">189</a>                 1e-8, 1e-1, 12000, expected);
+<a class="jxr_linenumber" name="190" href="#190">190</a>     }
+<a class="jxr_linenumber" name="191" href="#191">191</a> 
+<a class="jxr_linenumber" name="192" href="#192">192</a>     @Test
+<a class="jxr_linenumber" name="193" href="#193">193</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSsDiffPow() {
+<a class="jxr_linenumber" name="194" href="#194">194</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM/2,1.0);
+<a class="jxr_linenumber" name="195" href="#195">195</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="196" href="#196">196</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="197" href="#197">197</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM/2,0.0),0.0);
+<a class="jxr_linenumber" name="198" href="#198">198</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">SsDiffPow</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="199" href="#199">199</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="200" href="#200">200</a>                 1e-2, 1.3e-1, 50000, expected);
+<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>     @Test
+<a class="jxr_linenumber" name="204" href="#204">204</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testAckley() {
+<a class="jxr_linenumber" name="205" href="#205">205</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,0.1);
+<a class="jxr_linenumber" name="206" href="#206">206</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="207" href="#207">207</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="208" href="#208">208</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="209" href="#209">209</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Ackley</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="210" href="#210">210</a>                 GoalType.MINIMIZE,
+<a class="jxr_linenumber" name="211" href="#211">211</a>                 1e-8, 1e-5, 1000, expected);
+<a class="jxr_linenumber" name="212" href="#212">212</a>     }
+<a class="jxr_linenumber" name="213" href="#213">213</a> 
+<a class="jxr_linenumber" name="214" href="#214">214</a>     @Test
+<a class="jxr_linenumber" name="215" href="#215">215</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testRastrigin() {
+<a class="jxr_linenumber" name="216" href="#216">216</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,1.0);
+<a class="jxr_linenumber" name="217" href="#217">217</a> 
+<a class="jxr_linenumber" name="218" href="#218">218</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="219" href="#219">219</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="220" href="#220">220</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,0.0),0.0);
+<a class="jxr_linenumber" name="221" href="#221">221</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rastrigin</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="222" href="#222">222</a>                 GoalType.MINIMIZE, 
+<a class="jxr_linenumber" name="223" href="#223">223</a>                 1e-13, 1e-6, 1000, expected);
+<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>     @Test
+<a class="jxr_linenumber" name="227" href="#227">227</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testConstrainedRosen() {
+<a class="jxr_linenumber" name="228" href="#228">228</a>         <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM,0.1);
+<a class="jxr_linenumber" name="229" href="#229">229</a> 
+<a class="jxr_linenumber" name="230" href="#230">230</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM,-1,2);
+<a class="jxr_linenumber" name="231" href="#231">231</a>         PointValuePair expected =
+<a class="jxr_linenumber" name="232" href="#232">232</a>             <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM,1.0),0.0);
+<a class="jxr_linenumber" name="233" href="#233">233</a>         doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="234" href="#234">234</a>                 GoalType.MINIMIZE,
+<a class="jxr_linenumber" name="235" href="#235">235</a>                 1e-13, 1e-6, 2000, expected);
+<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>     <em class="jxr_comment">// See MATH-728</em>
+<a class="jxr_linenumber" name="239" href="#239">239</a>     <em class="jxr_comment">// TODO: this test is temporarily disabled for 3.2 release as a bug in Cobertura</em>
+<a class="jxr_linenumber" name="240" href="#240">240</a>     <em class="jxr_comment">//       makes it run for several hours before completing</em>
+<a class="jxr_linenumber" name="241" href="#241">241</a>     @Ignore @Test
+<a class="jxr_linenumber" name="242" href="#242">242</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testConstrainedRosenWithMoreInterpolationPoints() {
+<a class="jxr_linenumber" name="243" href="#243">243</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] startPoint = point(DIM, 0.1);
+<a class="jxr_linenumber" name="244" href="#244">244</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[][] boundaries = boundaries(DIM, -1, 2);
+<a class="jxr_linenumber" name="245" href="#245">245</a>         <strong class="jxr_keyword">final</strong> PointValuePair expected = <strong class="jxr_keyword">new</strong> PointValuePair(point(DIM, 1.0), 0.0);
+<a class="jxr_linenumber" name="246" href="#246">246</a> 
+<a class="jxr_linenumber" name="247" href="#247">247</a>         <em class="jxr_comment">// This should have been 78 because in the code the hard limit is</em>
+<a class="jxr_linenumber" name="248" href="#248">248</a>         <em class="jxr_comment">// said to be</em>
+<a class="jxr_linenumber" name="249" href="#249">249</a>         <em class="jxr_comment">//   ((DIM + 1) * (DIM + 2)) / 2 - (2 * DIM + 1)</em>
+<a class="jxr_linenumber" name="250" href="#250">250</a>         <em class="jxr_comment">// i.e. 78 in this case, but the test fails for 48, 59, 62, 63, 64,</em>
+<a class="jxr_linenumber" name="251" href="#251">251</a>         <em class="jxr_comment">// 65, 66, ...</em>
+<a class="jxr_linenumber" name="252" href="#252">252</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> maxAdditionalPoints = 47;
+<a class="jxr_linenumber" name="253" href="#253">253</a> 
+<a class="jxr_linenumber" name="254" href="#254">254</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> num = 1; num &lt;= maxAdditionalPoints; num++) {
+<a class="jxr_linenumber" name="255" href="#255">255</a>             doTest(<strong class="jxr_keyword">new</strong> <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Rosen</a>(), startPoint, boundaries,
+<a class="jxr_linenumber" name="256" href="#256">256</a>                    GoalType.MINIMIZE,
+<a class="jxr_linenumber" name="257" href="#257">257</a>                    1e-12, 1e-6, 2000,
+<a class="jxr_linenumber" name="258" href="#258">258</a>                    num,
+<a class="jxr_linenumber" name="259" href="#259">259</a>                    expected,
+<a class="jxr_linenumber" name="260" href="#260">260</a>                    <span class="jxr_string">"num="</span> + num);
+<a class="jxr_linenumber" name="261" href="#261">261</a>         }
+<a class="jxr_linenumber" name="262" href="#262">262</a>     }
+<a class="jxr_linenumber" name="263" href="#263">263</a> 
+<a class="jxr_linenumber" name="264" href="#264">264</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="265" href="#265">265</a> <em class="jxr_javadoccomment">     * @param func Function to optimize.</em>
+<a class="jxr_linenumber" name="266" href="#266">266</a> <em class="jxr_javadoccomment">     * @param startPoint Starting point.</em>
+<a class="jxr_linenumber" name="267" href="#267">267</a> <em class="jxr_javadoccomment">     * @param boundaries Upper / lower point limit.</em>
+<a class="jxr_linenumber" name="268" href="#268">268</a> <em class="jxr_javadoccomment">     * @param goal Minimization or maximization.</em>
+<a class="jxr_linenumber" name="269" href="#269">269</a> <em class="jxr_javadoccomment">     * @param fTol Tolerance relative error on the objective function.</em>
+<a class="jxr_linenumber" name="270" href="#270">270</a> <em class="jxr_javadoccomment">     * @param pointTol Tolerance for checking that the optimum is correct.</em>
+<a class="jxr_linenumber" name="271" href="#271">271</a> <em class="jxr_javadoccomment">     * @param maxEvaluations Maximum number of evaluations.</em>
+<a class="jxr_linenumber" name="272" href="#272">272</a> <em class="jxr_javadoccomment">     * @param expected Expected point / value.</em>
+<a class="jxr_linenumber" name="273" href="#273">273</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="274" href="#274">274</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> doTest(MultivariateFunction func,
+<a class="jxr_linenumber" name="275" href="#275">275</a>                         <strong class="jxr_keyword">double</strong>[] startPoint,
+<a class="jxr_linenumber" name="276" href="#276">276</a>                         <strong class="jxr_keyword">double</strong>[][] boundaries,
+<a class="jxr_linenumber" name="277" href="#277">277</a>                         GoalType goal,
+<a class="jxr_linenumber" name="278" href="#278">278</a>                         <strong class="jxr_keyword">double</strong> fTol,
+<a class="jxr_linenumber" name="279" href="#279">279</a>                         <strong class="jxr_keyword">double</strong> pointTol,
+<a class="jxr_linenumber" name="280" href="#280">280</a>                         <strong class="jxr_keyword">int</strong> maxEvaluations,
+<a class="jxr_linenumber" name="281" href="#281">281</a>                         PointValuePair expected) {
+<a class="jxr_linenumber" name="282" href="#282">282</a>         doTest(func,
+<a class="jxr_linenumber" name="283" href="#283">283</a>                startPoint,
+<a class="jxr_linenumber" name="284" href="#284">284</a>                boundaries,
+<a class="jxr_linenumber" name="285" href="#285">285</a>                goal,
+<a class="jxr_linenumber" name="286" href="#286">286</a>                fTol,
+<a class="jxr_linenumber" name="287" href="#287">287</a>                pointTol,
+<a class="jxr_linenumber" name="288" href="#288">288</a>                maxEvaluations,
+<a class="jxr_linenumber" name="289" href="#289">289</a>                0,
+<a class="jxr_linenumber" name="290" href="#290">290</a>                expected,
+<a class="jxr_linenumber" name="291" href="#291">291</a>                <span class="jxr_string">""</span>);
+<a class="jxr_linenumber" name="292" href="#292">292</a>     }
+<a class="jxr_linenumber" name="293" href="#293">293</a> 
+<a class="jxr_linenumber" name="294" href="#294">294</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="295" href="#295">295</a> <em class="jxr_javadoccomment">     * @param func Function to optimize.</em>
+<a class="jxr_linenumber" name="296" href="#296">296</a> <em class="jxr_javadoccomment">     * @param startPoint Starting point.</em>
+<a class="jxr_linenumber" name="297" href="#297">297</a> <em class="jxr_javadoccomment">     * @param boundaries Upper / lower point limit.</em>
+<a class="jxr_linenumber" name="298" href="#298">298</a> <em class="jxr_javadoccomment">     * @param goal Minimization or maximization.</em>
+<a class="jxr_linenumber" name="299" href="#299">299</a> <em class="jxr_javadoccomment">     * @param fTol Tolerance relative error on the objective function.</em>
+<a class="jxr_linenumber" name="300" href="#300">300</a> <em class="jxr_javadoccomment">     * @param pointTol Tolerance for checking that the optimum is correct.</em>
+<a class="jxr_linenumber" name="301" href="#301">301</a> <em class="jxr_javadoccomment">     * @param maxEvaluations Maximum number of evaluations.</em>
+<a class="jxr_linenumber" name="302" href="#302">302</a> <em class="jxr_javadoccomment">     * @param additionalInterpolationPoints Number of interpolation to used</em>
+<a class="jxr_linenumber" name="303" href="#303">303</a> <em class="jxr_javadoccomment">     * in addition to the default (2 * dim + 1).</em>
+<a class="jxr_linenumber" name="304" href="#304">304</a> <em class="jxr_javadoccomment">     * @param expected Expected point / value.</em>
+<a class="jxr_linenumber" name="305" href="#305">305</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="306" href="#306">306</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> doTest(MultivariateFunction func,
+<a class="jxr_linenumber" name="307" href="#307">307</a>                         <strong class="jxr_keyword">double</strong>[] startPoint,
+<a class="jxr_linenumber" name="308" href="#308">308</a>                         <strong class="jxr_keyword">double</strong>[][] boundaries,
+<a class="jxr_linenumber" name="309" href="#309">309</a>                         GoalType goal,
+<a class="jxr_linenumber" name="310" href="#310">310</a>                         <strong class="jxr_keyword">double</strong> fTol,
+<a class="jxr_linenumber" name="311" href="#311">311</a>                         <strong class="jxr_keyword">double</strong> pointTol,
+<a class="jxr_linenumber" name="312" href="#312">312</a>                         <strong class="jxr_keyword">int</strong> maxEvaluations,
+<a class="jxr_linenumber" name="313" href="#313">313</a>                         <strong class="jxr_keyword">int</strong> additionalInterpolationPoints,
+<a class="jxr_linenumber" name="314" href="#314">314</a>                         PointValuePair expected,
+<a class="jxr_linenumber" name="315" href="#315">315</a>                         String assertMsg) {
+<a class="jxr_linenumber" name="316" href="#316">316</a> 
+<a class="jxr_linenumber" name="317" href="#317">317</a> <em class="jxr_comment">//         System.out.println(func.getClass().getName() + " BEGIN"); // XXX</em>
+<a class="jxr_linenumber" name="318" href="#318">318</a> 
+<a class="jxr_linenumber" name="319" href="#319">319</a>         <strong class="jxr_keyword">int</strong> dim = startPoint.length;
+<a class="jxr_linenumber" name="320" href="#320">320</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> numIterpolationPoints = 2 * dim + 1 + additionalInterpolationPoints;
+<a class="jxr_linenumber" name="321" href="#321">321</a>         BOBYQAOptimizer optim = <strong class="jxr_keyword">new</strong> BOBYQAOptimizer(numIterpolationPoints);
+<a class="jxr_linenumber" name="322" href="#322">322</a>         PointValuePair result = boundaries == <strong class="jxr_keyword">null</strong> ?
+<a class="jxr_linenumber" name="323" href="#323">323</a>             optim.optimize(<strong class="jxr_keyword">new</strong> MaxEval(maxEvaluations),
+<a class="jxr_linenumber" name="324" href="#324">324</a>                            <strong class="jxr_keyword">new</strong> ObjectiveFunction(func),
+<a class="jxr_linenumber" name="325" href="#325">325</a>                            goal,
+<a class="jxr_linenumber" name="326" href="#326">326</a>                            SimpleBounds.unbounded(dim),
+<a class="jxr_linenumber" name="327" href="#327">327</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(startPoint)) :
+<a class="jxr_linenumber" name="328" href="#328">328</a>             optim.optimize(<strong class="jxr_keyword">new</strong> MaxEval(maxEvaluations),
+<a class="jxr_linenumber" name="329" href="#329">329</a>                            <strong class="jxr_keyword">new</strong> ObjectiveFunction(func),
+<a class="jxr_linenumber" name="330" href="#330">330</a>                            goal,
+<a class="jxr_linenumber" name="331" href="#331">331</a>                            <strong class="jxr_keyword">new</strong> InitialGuess(startPoint),
+<a class="jxr_linenumber" name="332" href="#332">332</a>                            <strong class="jxr_keyword">new</strong> SimpleBounds(boundaries[0],
+<a class="jxr_linenumber" name="333" href="#333">333</a>                                             boundaries[1]));
+<a class="jxr_linenumber" name="334" href="#334">334</a> <em class="jxr_comment">//        System.out.println(func.getClass().getName() + " = " </em>
+<a class="jxr_linenumber" name="335" href="#335">335</a> <em class="jxr_comment">//              + optim.getEvaluations() + " f(");</em>
+<a class="jxr_linenumber" name="336" href="#336">336</a> <em class="jxr_comment">//        for (double x: result.getPoint())  System.out.print(x + " ");</em>
+<a class="jxr_linenumber" name="337" href="#337">337</a> <em class="jxr_comment">//        System.out.println(") = " +  result.getValue());</em>
+<a class="jxr_linenumber" name="338" href="#338">338</a>         Assert.assertEquals(assertMsg, expected.getValue(), result.getValue(), fTol);
+<a class="jxr_linenumber" name="339" href="#339">339</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; dim; i++) {
+<a class="jxr_linenumber" name="340" href="#340">340</a>             Assert.assertEquals(expected.getPoint()[i],
+<a class="jxr_linenumber" name="341" href="#341">341</a>                                 result.getPoint()[i], pointTol);
+<a class="jxr_linenumber" name="342" href="#342">342</a>         }
 <a class="jxr_linenumber" name="343" href="#343">343</a> 
-<a class="jxr_linenumber" name="344" href="#344">344</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] point(<strong class="jxr_keyword">int</strong> n, <strong class="jxr_keyword">double</strong> value) {
-<a class="jxr_linenumber" name="345" href="#345">345</a>         <strong class="jxr_keyword">double</strong>[] ds = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[n];
-<a class="jxr_linenumber" name="346" href="#346">346</a>         Arrays.fill(ds, value);
-<a class="jxr_linenumber" name="347" href="#347">347</a>         <strong class="jxr_keyword">return</strong> ds;
-<a class="jxr_linenumber" name="348" href="#348">348</a>     }
-<a class="jxr_linenumber" name="349" href="#349">349</a> 
-<a class="jxr_linenumber" name="350" href="#350">350</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[][] boundaries(<strong class="jxr_keyword">int</strong> dim,
-<a class="jxr_linenumber" name="351" href="#351">351</a>             <strong class="jxr_keyword">double</strong> lower, <strong class="jxr_keyword">double</strong> upper) {
-<a class="jxr_linenumber" name="352" href="#352">352</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[2][dim];
-<a class="jxr_linenumber" name="353" href="#353">353</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; dim; i++)
-<a class="jxr_linenumber" name="354" href="#354">354</a>             boundaries[0][i] = lower;
-<a class="jxr_linenumber" name="355" href="#355">355</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; dim; i++)
-<a class="jxr_linenumber" name="356" href="#356">356</a>             boundaries[1][i] = upper;
-<a class="jxr_linenumber" name="357" href="#357">357</a>         <strong class="jxr_keyword">return</strong> boundaries;
-<a class="jxr_linenumber" name="358" href="#358">358</a>     }
-<a class="jxr_linenumber" name="359" href="#359">359</a> 
-<a class="jxr_linenumber" name="360" href="#360">360</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/scalar/noderiv/BOBYQAOptimizerTest.html">Sphere</a> <strong class="jxr_keyword">implements</strong> MultivariateFunction {
-<a class="jxr_linenumber" name="361" href="#361">361</a> 
-<a class="jxr_linenumber" name="362" href="#362">362</a>         <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> value(<strong class="jxr_keyword">double</strong>[] x) {
-<a class="jxr_linenumber" name="363" href="#363">363</a>             <strong class="jxr_keyword">double</strong> f = 0;
-<a class="jxr_linenumber" name="364" href="#364">364</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; x.length; ++i)
-<a class="jxr_linenumber" name="365" href="#365">365</a>                 f += x[i] * x[i];
-<a class="jxr_linenumber" name="366" href="#366">366</a>             <strong class="jxr_keyword">return</strong> f;
-<a class="jxr_linenumber" name="367" href="#367">367</a>         }
-<a class="jxr_linenumber" name="368" href="#368">368</a>     }
-<a class="jxr_linenumber" name="369" href="#369">369</a> 
-<a class="jxr_linenumber" name="370" href="#370">370</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/scalar/noderiv/BOBYQAOptimizerTest.html">Cigar</a> <strong class="jxr_keyword">implements</strong> MultivariateFunction {
-<a class="jxr_linenumber" name="371" href="#371">371</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">double</strong> factor;
+<a class="jxr_linenumber" name="344" href="#344">344</a> <em class="jxr_comment">//         System.out.println(func.getClass().getName() + " END"); // XXX</em>
+<a class="jxr_linenumber" name="345" href="#345">345</a>     }
+<a class="jxr_linenumber" name="346" href="#346">346</a> 
+<a class="jxr_linenumber" name="347" href="#347">347</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[] point(<strong class="jxr_keyword">int</strong> n, <strong class="jxr_keyword">double</strong> value) {
+<a class="jxr_linenumber" name="348" href="#348">348</a>         <strong class="jxr_keyword">double</strong>[] ds = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[n];
+<a class="jxr_linenumber" name="349" href="#349">349</a>         Arrays.fill(ds, value);
+<a class="jxr_linenumber" name="350" href="#350">350</a>         <strong class="jxr_keyword">return</strong> ds;
+<a class="jxr_linenumber" name="351" href="#351">351</a>     }
+<a class="jxr_linenumber" name="352" href="#352">352</a> 
+<a class="jxr_linenumber" name="353" href="#353">353</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">double</strong>[][] boundaries(<strong class="jxr_keyword">int</strong> dim,
+<a class="jxr_linenumber" name="354" href="#354">354</a>             <strong class="jxr_keyword">double</strong> lower, <strong class="jxr_keyword">double</strong> upper) {
+<a class="jxr_linenumber" name="355" href="#355">355</a>         <strong class="jxr_keyword">double</strong>[][] boundaries = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[2][dim];
+<a class="jxr_linenumber" name="356" href="#356">356</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; dim; i++)
+<a class="jxr_linenumber" name="357" href="#357">357</a>             boundaries[0][i] = lower;
+<a class="jxr_linenumber" name="358" href="#358">358</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; dim; i++)
+<a class="jxr_linenumber" name="359" href="#359">359</a>             boundaries[1][i] = upper;
+<a class="jxr_linenumber" name="360" href="#360">360</a>         <strong class="jxr_keyword">return</strong> boundaries;
+<a class="jxr_linenumber" name="361" href="#361">361</a>     }
+<a class="jxr_linenumber" name="362" href="#362">362</a> 
+<a class="jxr_linenumber" name="363" href="#363">363</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/scalar/noderiv/BOBYQAOptimizerTest.html">Sphere</a> <strong class="jxr_keyword">implements</strong> MultivariateFunction {
+<a class="jxr_linenumber" name="364" href="#364">364</a> 
+<a class="jxr_linenumber" name="365" href="#365">365</a>         <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> value(<strong class="jxr_keyword">double</strong>[] x) {
+<a class="jxr_linenumber" name="366" href="#366">366</a>             <strong class="jxr_keyword">double</strong> f = 0;
+<a class="jxr_linenumber" name="367" href="#367">367</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; x.length; ++i)
+<a class="jxr_linenumber" name="368" href="#368">368</a>                 f += x[i] * x[i];
+<a class="jxr_linenumber" name="369" href="#369">369</a>             <strong class="jxr_keyword">return</strong> f;
+<a class="jxr_linenumber" name="370" href="#370">370</a>         }
+<a class="jxr_linenumber" name="371" href="#371">371</a>     }
 <a class="jxr_linenumber" name="372" href="#372">372</a> 
-<a class="jxr_linenumber" name="373" href="#373">373</a>         <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Cigar</a>() {
-<a class="jxr_linenumber" name="374" href="#374">374</a>             <strong class="jxr_keyword">this</strong>(1e3);
-<a class="jxr_linenumber" name="375" href="#375">375</a>         }
-<a class="jxr_linenumber" name="376" href="#376">376</a> 
-<a class="jxr_linenumber" name="377" href="#377">377</a>         <a href="../../../../../../../../org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.html">Cigar</a>(<strong class="jxr_keyword">double</strong> axisratio) {
-<a class="jxr_linenumber" name="378" href="#378">378</a>             factor = axisratio * axisratio;
-<a class="jxr_linenumber" name="379" href="#379">379</a>         }
-<a class="jxr_linenumber" name="380" href="#380">380</a> 
-<a class="jxr_linenumber" name="381" href="#381">381</a>         <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> value(<strong class="jxr_keyword">double</strong>[] x) {
-<a class="jxr_linenumber" name="382" href="#382">382</a>             <strong class="jxr_keyword">double</strong> f = x[0] * x[0];
-<a class="jxr_linenumber" name="383" href="#383">383</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 1; i &lt; x.length; ++i)
-<a class="jxr_linenumber" name="384" href="#384">384</a>                 f += factor * x[i] * x[i];
-<a class="jxr_linenumber" name="385" href="#385">385</a>             <strong class="jxr_keyword">return</strong> f;
-<a class="jxr_linenumber" name="386" href="#386">386</a>         }
-<a class="jxr_linenumber" name="387" href="#387">387</a>     }
-<a class="jxr_linenumber" name="388" href="#388">388</a> 

[... 496 lines stripped ...]


Mime
View raw message