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From l..@apache.org
Subject svn commit: r857558 [24/39] - in /websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3: ./ analysis/ analysis/differentiation/ analysis/interpolation/ complex/ dfp/ distribution/ distribution/fitting/ ex...
Date Sat, 06 Apr 2013 23:42:02 GMT
Modified: websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html (original)
+++ websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3/optim/nonlinear/vector/MultiStartMultivariateVectorOptimizerTest.html Sat Apr  6 23:42:01 2013
@@ -19,193 +19,234 @@
 <FONT color="green">016</FONT>     */<a name="line.16"></a>
 <FONT color="green">017</FONT>    package org.apache.commons.math3.optim.nonlinear.vector;<a name="line.17"></a>
 <FONT color="green">018</FONT>    <a name="line.18"></a>
-<FONT color="green">019</FONT>    import org.apache.commons.math3.analysis.MultivariateVectorFunction;<a name="line.19"></a>
-<FONT color="green">020</FONT>    import org.apache.commons.math3.analysis.MultivariateMatrixFunction;<a name="line.20"></a>
-<FONT color="green">021</FONT>    import org.apache.commons.math3.exception.MathIllegalStateException;<a name="line.21"></a>
+<FONT color="green">019</FONT>    import org.apache.commons.math3.analysis.MultivariateMatrixFunction;<a name="line.19"></a>
+<FONT color="green">020</FONT>    import org.apache.commons.math3.analysis.MultivariateVectorFunction;<a name="line.20"></a>
+<FONT color="green">021</FONT>    import org.apache.commons.math3.exception.TooManyEvaluationsException;<a name="line.21"></a>
 <FONT color="green">022</FONT>    import org.apache.commons.math3.linear.BlockRealMatrix;<a name="line.22"></a>
 <FONT color="green">023</FONT>    import org.apache.commons.math3.linear.RealMatrix;<a name="line.23"></a>
-<FONT color="green">024</FONT>    import org.apache.commons.math3.optim.MaxEval;<a name="line.24"></a>
-<FONT color="green">025</FONT>    import org.apache.commons.math3.optim.InitialGuess;<a name="line.25"></a>
-<FONT color="green">026</FONT>    import org.apache.commons.math3.optim.PointVectorValuePair;<a name="line.26"></a>
-<FONT color="green">027</FONT>    import org.apache.commons.math3.optim.SimpleVectorValueChecker;<a name="line.27"></a>
-<FONT color="green">028</FONT>    import org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer;<a name="line.28"></a>
-<FONT color="green">029</FONT>    import org.apache.commons.math3.random.GaussianRandomGenerator;<a name="line.29"></a>
-<FONT color="green">030</FONT>    import org.apache.commons.math3.random.JDKRandomGenerator;<a name="line.30"></a>
-<FONT color="green">031</FONT>    import org.apache.commons.math3.random.RandomVectorGenerator;<a name="line.31"></a>
-<FONT color="green">032</FONT>    import org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator;<a name="line.32"></a>
-<FONT color="green">033</FONT>    import org.junit.Assert;<a name="line.33"></a>
-<FONT color="green">034</FONT>    import org.junit.Test;<a name="line.34"></a>
-<FONT color="green">035</FONT>    <a name="line.35"></a>
-<FONT color="green">036</FONT>    /**<a name="line.36"></a>
-<FONT color="green">037</FONT>     * &lt;p&gt;Some of the unit tests are re-implementations of the MINPACK &lt;a<a name="line.37"></a>
-<FONT color="green">038</FONT>     * href="http://www.netlib.org/minpack/ex/file17"&gt;file17&lt;/a&gt; and &lt;a<a name="line.38"></a>
-<FONT color="green">039</FONT>     * href="http://www.netlib.org/minpack/ex/file22"&gt;file22&lt;/a&gt; test files.<a name="line.39"></a>
-<FONT color="green">040</FONT>     * The redistribution policy for MINPACK is available &lt;a<a name="line.40"></a>
-<FONT color="green">041</FONT>     * href="http://www.netlib.org/minpack/disclaimer"&gt;here&lt;/a&gt;, for<a name="line.41"></a>
-<FONT color="green">042</FONT>     * convenience, it is reproduced below.&lt;/p&gt;<a name="line.42"></a>
-<FONT color="green">043</FONT>     *<a name="line.43"></a>
-<FONT color="green">044</FONT>     * &lt;table border="0" width="80%" cellpadding="10" align="center" bgcolor="#E0E0E0"&gt;<a name="line.44"></a>
-<FONT color="green">045</FONT>     * &lt;tr&gt;&lt;td&gt;<a name="line.45"></a>
-<FONT color="green">046</FONT>     *    Minpack Copyright Notice (1999) University of Chicago.<a name="line.46"></a>
-<FONT color="green">047</FONT>     *    All rights reserved<a name="line.47"></a>
-<FONT color="green">048</FONT>     * &lt;/td&gt;&lt;/tr&gt;<a name="line.48"></a>
-<FONT color="green">049</FONT>     * &lt;tr&gt;&lt;td&gt;<a name="line.49"></a>
-<FONT color="green">050</FONT>     * Redistribution and use in source and binary forms, with or without<a name="line.50"></a>
-<FONT color="green">051</FONT>     * modification, are permitted provided that the following conditions<a name="line.51"></a>
-<FONT color="green">052</FONT>     * are met:<a name="line.52"></a>
-<FONT color="green">053</FONT>     * &lt;ol&gt;<a name="line.53"></a>
-<FONT color="green">054</FONT>     *  &lt;li&gt;Redistributions of source code must retain the above copyright<a name="line.54"></a>
-<FONT color="green">055</FONT>     *      notice, this list of conditions and the following disclaimer.&lt;/li&gt;<a name="line.55"></a>
-<FONT color="green">056</FONT>     * &lt;li&gt;Redistributions in binary form must reproduce the above<a name="line.56"></a>
-<FONT color="green">057</FONT>     *     copyright notice, this list of conditions and the following<a name="line.57"></a>
-<FONT color="green">058</FONT>     *     disclaimer in the documentation and/or other materials provided<a name="line.58"></a>
-<FONT color="green">059</FONT>     *     with the distribution.&lt;/li&gt;<a name="line.59"></a>
-<FONT color="green">060</FONT>     * &lt;li&gt;The end-user documentation included with the redistribution, if any,<a name="line.60"></a>
-<FONT color="green">061</FONT>     *     must include the following acknowledgment:<a name="line.61"></a>
-<FONT color="green">062</FONT>     *     &lt;code&gt;This product includes software developed by the University of<a name="line.62"></a>
-<FONT color="green">063</FONT>     *           Chicago, as Operator of Argonne National Laboratory.&lt;/code&gt;<a name="line.63"></a>
-<FONT color="green">064</FONT>     *     Alternately, this acknowledgment may appear in the software itself,<a name="line.64"></a>
-<FONT color="green">065</FONT>     *     if and wherever such third-party acknowledgments normally appear.&lt;/li&gt;<a name="line.65"></a>
-<FONT color="green">066</FONT>     * &lt;li&gt;&lt;strong&gt;WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"<a name="line.66"></a>
-<FONT color="green">067</FONT>     *     WITHOUT WARRANTY OF ANY KIND. THE COPYRIGHT HOLDER, THE<a name="line.67"></a>
-<FONT color="green">068</FONT>     *     UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, AND<a name="line.68"></a>
-<FONT color="green">069</FONT>     *     THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR<a name="line.69"></a>
-<FONT color="green">070</FONT>     *     IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES<a name="line.70"></a>
-<FONT color="green">071</FONT>     *     OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE<a name="line.71"></a>
-<FONT color="green">072</FONT>     *     OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY<a name="line.72"></a>
-<FONT color="green">073</FONT>     *     OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR<a name="line.73"></a>
-<FONT color="green">074</FONT>     *     USEFULNESS OF THE SOFTWARE, (3) DO NOT REPRESENT THAT USE OF<a name="line.74"></a>
-<FONT color="green">075</FONT>     *     THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4)<a name="line.75"></a>
-<FONT color="green">076</FONT>     *     DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION<a name="line.76"></a>
-<FONT color="green">077</FONT>     *     UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL<a name="line.77"></a>
-<FONT color="green">078</FONT>     *     BE CORRECTED.&lt;/strong&gt;&lt;/li&gt;<a name="line.78"></a>
-<FONT color="green">079</FONT>     * &lt;li&gt;&lt;strong&gt;LIMITATION OF LIABILITY. IN NO EVENT WILL THE COPYRIGHT<a name="line.79"></a>
-<FONT color="green">080</FONT>     *     HOLDER, THE UNITED STATES, THE UNITED STATES DEPARTMENT OF<a name="line.80"></a>
-<FONT color="green">081</FONT>     *     ENERGY, OR THEIR EMPLOYEES: BE LIABLE FOR ANY INDIRECT,<a name="line.81"></a>
-<FONT color="green">082</FONT>     *     INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF<a name="line.82"></a>
-<FONT color="green">083</FONT>     *     ANY KIND OR NATURE, INCLUDING BUT NOT LIMITED TO LOSS OF<a name="line.83"></a>
-<FONT color="green">084</FONT>     *     PROFITS OR LOSS OF DATA, FOR ANY REASON WHATSOEVER, WHETHER<a name="line.84"></a>
-<FONT color="green">085</FONT>     *     SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT<a name="line.85"></a>
-<FONT color="green">086</FONT>     *     (INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE,<a name="line.86"></a>
-<FONT color="green">087</FONT>     *     EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE<a name="line.87"></a>
-<FONT color="green">088</FONT>     *     POSSIBILITY OF SUCH LOSS OR DAMAGES.&lt;/strong&gt;&lt;/li&gt;<a name="line.88"></a>
-<FONT color="green">089</FONT>     * &lt;ol&gt;&lt;/td&gt;&lt;/tr&gt;<a name="line.89"></a>
-<FONT color="green">090</FONT>     * &lt;/table&gt;<a name="line.90"></a>
-<FONT color="green">091</FONT>     *<a name="line.91"></a>
-<FONT color="green">092</FONT>     * @author Argonne National Laboratory. MINPACK project. March 1980 (original fortran minpack tests)<a name="line.92"></a>
-<FONT color="green">093</FONT>     * @author Burton S. Garbow (original fortran minpack tests)<a name="line.93"></a>
-<FONT color="green">094</FONT>     * @author Kenneth E. Hillstrom (original fortran minpack tests)<a name="line.94"></a>
-<FONT color="green">095</FONT>     * @author Jorge J. More (original fortran minpack tests)<a name="line.95"></a>
-<FONT color="green">096</FONT>     * @author Luc Maisonobe (non-minpack tests and minpack tests Java translation)<a name="line.96"></a>
-<FONT color="green">097</FONT>     */<a name="line.97"></a>
-<FONT color="green">098</FONT>    public class MultiStartMultivariateVectorOptimizerTest {<a name="line.98"></a>
-<FONT color="green">099</FONT>        @Test(expected=NullPointerException.class)<a name="line.99"></a>
-<FONT color="green">100</FONT>        public void testGetOptimaBeforeOptimize() {<a name="line.100"></a>
-<FONT color="green">101</FONT>            LinearProblem problem<a name="line.101"></a>
-<FONT color="green">102</FONT>                = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });<a name="line.102"></a>
-<FONT color="green">103</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer<a name="line.103"></a>
-<FONT color="green">104</FONT>                = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));<a name="line.104"></a>
-<FONT color="green">105</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.105"></a>
-<FONT color="green">106</FONT>            g.setSeed(16069223052l);<a name="line.106"></a>
-<FONT color="green">107</FONT>            RandomVectorGenerator generator<a name="line.107"></a>
-<FONT color="green">108</FONT>                = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.108"></a>
-<FONT color="green">109</FONT>            MultiStartMultivariateVectorOptimizer optimizer<a name="line.109"></a>
-<FONT color="green">110</FONT>                = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.110"></a>
-<FONT color="green">111</FONT>    <a name="line.111"></a>
-<FONT color="green">112</FONT>            optimizer.getOptima();<a name="line.112"></a>
-<FONT color="green">113</FONT>        }<a name="line.113"></a>
-<FONT color="green">114</FONT>    <a name="line.114"></a>
-<FONT color="green">115</FONT>        @Test<a name="line.115"></a>
-<FONT color="green">116</FONT>        public void testTrivial() {<a name="line.116"></a>
-<FONT color="green">117</FONT>            LinearProblem problem<a name="line.117"></a>
-<FONT color="green">118</FONT>                = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });<a name="line.118"></a>
-<FONT color="green">119</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer<a name="line.119"></a>
-<FONT color="green">120</FONT>                = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));<a name="line.120"></a>
-<FONT color="green">121</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.121"></a>
-<FONT color="green">122</FONT>            g.setSeed(16069223052l);<a name="line.122"></a>
-<FONT color="green">123</FONT>            RandomVectorGenerator generator<a name="line.123"></a>
-<FONT color="green">124</FONT>                = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.124"></a>
-<FONT color="green">125</FONT>            MultiStartMultivariateVectorOptimizer optimizer<a name="line.125"></a>
-<FONT color="green">126</FONT>                = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.126"></a>
-<FONT color="green">127</FONT>    <a name="line.127"></a>
-<FONT color="green">128</FONT>            PointVectorValuePair optimum<a name="line.128"></a>
-<FONT color="green">129</FONT>                = optimizer.optimize(new MaxEval(100),<a name="line.129"></a>
-<FONT color="green">130</FONT>                                     problem.getModelFunction(),<a name="line.130"></a>
-<FONT color="green">131</FONT>                                     problem.getModelFunctionJacobian(),<a name="line.131"></a>
-<FONT color="green">132</FONT>                                     problem.getTarget(),<a name="line.132"></a>
-<FONT color="green">133</FONT>                                     new Weight(new double[] { 1 }),<a name="line.133"></a>
-<FONT color="green">134</FONT>                                     new InitialGuess(new double[] { 0 }));<a name="line.134"></a>
-<FONT color="green">135</FONT>            Assert.assertEquals(1.5, optimum.getPoint()[0], 1e-10);<a name="line.135"></a>
-<FONT color="green">136</FONT>            Assert.assertEquals(3.0, optimum.getValue()[0], 1e-10);<a name="line.136"></a>
-<FONT color="green">137</FONT>            PointVectorValuePair[] optima = optimizer.getOptima();<a name="line.137"></a>
-<FONT color="green">138</FONT>            Assert.assertEquals(10, optima.length);<a name="line.138"></a>
-<FONT color="green">139</FONT>            for (int i = 0; i &lt; optima.length; i++) {<a name="line.139"></a>
-<FONT color="green">140</FONT>                Assert.assertEquals(1.5, optima[i].getPoint()[0], 1e-10);<a name="line.140"></a>
-<FONT color="green">141</FONT>                Assert.assertEquals(3.0, optima[i].getValue()[0], 1e-10);<a name="line.141"></a>
-<FONT color="green">142</FONT>            }<a name="line.142"></a>
-<FONT color="green">143</FONT>            Assert.assertTrue(optimizer.getEvaluations() &gt; 20);<a name="line.143"></a>
-<FONT color="green">144</FONT>            Assert.assertTrue(optimizer.getEvaluations() &lt; 50);<a name="line.144"></a>
-<FONT color="green">145</FONT>            Assert.assertEquals(100, optimizer.getMaxEvaluations());<a name="line.145"></a>
-<FONT color="green">146</FONT>        }<a name="line.146"></a>
-<FONT color="green">147</FONT>    <a name="line.147"></a>
-<FONT color="green">148</FONT>        /**<a name="line.148"></a>
-<FONT color="green">149</FONT>         * Test demonstrating that the user exception is fnally thrown if none<a name="line.149"></a>
-<FONT color="green">150</FONT>         * of the runs succeed.<a name="line.150"></a>
-<FONT color="green">151</FONT>         */<a name="line.151"></a>
-<FONT color="green">152</FONT>        @Test(expected=TestException.class)<a name="line.152"></a>
-<FONT color="green">153</FONT>        public void testNoOptimum() {<a name="line.153"></a>
-<FONT color="green">154</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer<a name="line.154"></a>
-<FONT color="green">155</FONT>                = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));<a name="line.155"></a>
-<FONT color="green">156</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.156"></a>
-<FONT color="green">157</FONT>            g.setSeed(12373523445l);<a name="line.157"></a>
-<FONT color="green">158</FONT>            RandomVectorGenerator generator<a name="line.158"></a>
-<FONT color="green">159</FONT>                = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.159"></a>
-<FONT color="green">160</FONT>            MultiStartMultivariateVectorOptimizer optimizer<a name="line.160"></a>
-<FONT color="green">161</FONT>                = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.161"></a>
-<FONT color="green">162</FONT>            optimizer.optimize(new MaxEval(100),<a name="line.162"></a>
-<FONT color="green">163</FONT>                               new Target(new double[] { 0 }),<a name="line.163"></a>
-<FONT color="green">164</FONT>                               new Weight(new double[] { 1 }),<a name="line.164"></a>
-<FONT color="green">165</FONT>                               new InitialGuess(new double[] { 0 }),<a name="line.165"></a>
-<FONT color="green">166</FONT>                               new ModelFunction(new MultivariateVectorFunction() {<a name="line.166"></a>
-<FONT color="green">167</FONT>                                       public double[] value(double[] point) {<a name="line.167"></a>
-<FONT color="green">168</FONT>                                           throw new TestException();<a name="line.168"></a>
-<FONT color="green">169</FONT>                                       }<a name="line.169"></a>
-<FONT color="green">170</FONT>                                   }));<a name="line.170"></a>
-<FONT color="green">171</FONT>        }<a name="line.171"></a>
-<FONT color="green">172</FONT>    <a name="line.172"></a>
-<FONT color="green">173</FONT>        private static class TestException extends RuntimeException {}<a name="line.173"></a>
-<FONT color="green">174</FONT>    <a name="line.174"></a>
-<FONT color="green">175</FONT>        private static class LinearProblem {<a name="line.175"></a>
-<FONT color="green">176</FONT>            private final RealMatrix factors;<a name="line.176"></a>
-<FONT color="green">177</FONT>            private final double[] target;<a name="line.177"></a>
-<FONT color="green">178</FONT>    <a name="line.178"></a>
-<FONT color="green">179</FONT>            public LinearProblem(double[][] factors,<a name="line.179"></a>
-<FONT color="green">180</FONT>                                 double[] target) {<a name="line.180"></a>
-<FONT color="green">181</FONT>                this.factors = new BlockRealMatrix(factors);<a name="line.181"></a>
-<FONT color="green">182</FONT>                this.target  = target;<a name="line.182"></a>
-<FONT color="green">183</FONT>            }<a name="line.183"></a>
+<FONT color="green">024</FONT>    import org.apache.commons.math3.optim.InitialGuess;<a name="line.24"></a>
+<FONT color="green">025</FONT>    import org.apache.commons.math3.optim.MaxEval;<a name="line.25"></a>
+<FONT color="green">026</FONT>    import org.apache.commons.math3.optim.OptimizationData;<a name="line.26"></a>
+<FONT color="green">027</FONT>    import org.apache.commons.math3.optim.PointVectorValuePair;<a name="line.27"></a>
+<FONT color="green">028</FONT>    import org.apache.commons.math3.optim.SimpleBounds;<a name="line.28"></a>
+<FONT color="green">029</FONT>    import org.apache.commons.math3.optim.SimpleVectorValueChecker;<a name="line.29"></a>
+<FONT color="green">030</FONT>    import org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer;<a name="line.30"></a>
+<FONT color="green">031</FONT>    import org.apache.commons.math3.random.GaussianRandomGenerator;<a name="line.31"></a>
+<FONT color="green">032</FONT>    import org.apache.commons.math3.random.JDKRandomGenerator;<a name="line.32"></a>
+<FONT color="green">033</FONT>    import org.apache.commons.math3.random.RandomVectorGenerator;<a name="line.33"></a>
+<FONT color="green">034</FONT>    import org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator;<a name="line.34"></a>
+<FONT color="green">035</FONT>    import org.junit.Assert;<a name="line.35"></a>
+<FONT color="green">036</FONT>    import org.junit.Test;<a name="line.36"></a>
+<FONT color="green">037</FONT>    <a name="line.37"></a>
+<FONT color="green">038</FONT>    /**<a name="line.38"></a>
+<FONT color="green">039</FONT>     * &lt;p&gt;Some of the unit tests are re-implementations of the MINPACK &lt;a<a name="line.39"></a>
+<FONT color="green">040</FONT>     * href="http://www.netlib.org/minpack/ex/file17"&gt;file17&lt;/a&gt; and &lt;a<a name="line.40"></a>
+<FONT color="green">041</FONT>     * href="http://www.netlib.org/minpack/ex/file22"&gt;file22&lt;/a&gt; test files.<a name="line.41"></a>
+<FONT color="green">042</FONT>     * The redistribution policy for MINPACK is available &lt;a<a name="line.42"></a>
+<FONT color="green">043</FONT>     * href="http://www.netlib.org/minpack/disclaimer"&gt;here&lt;/a&gt;, for<a name="line.43"></a>
+<FONT color="green">044</FONT>     * convenience, it is reproduced below.&lt;/p&gt;<a name="line.44"></a>
+<FONT color="green">045</FONT>     *<a name="line.45"></a>
+<FONT color="green">046</FONT>     * &lt;table border="0" width="80%" cellpadding="10" align="center" bgcolor="#E0E0E0"&gt;<a name="line.46"></a>
+<FONT color="green">047</FONT>     * &lt;tr&gt;&lt;td&gt;<a name="line.47"></a>
+<FONT color="green">048</FONT>     *    Minpack Copyright Notice (1999) University of Chicago.<a name="line.48"></a>
+<FONT color="green">049</FONT>     *    All rights reserved<a name="line.49"></a>
+<FONT color="green">050</FONT>     * &lt;/td&gt;&lt;/tr&gt;<a name="line.50"></a>
+<FONT color="green">051</FONT>     * &lt;tr&gt;&lt;td&gt;<a name="line.51"></a>
+<FONT color="green">052</FONT>     * Redistribution and use in source and binary forms, with or without<a name="line.52"></a>
+<FONT color="green">053</FONT>     * modification, are permitted provided that the following conditions<a name="line.53"></a>
+<FONT color="green">054</FONT>     * are met:<a name="line.54"></a>
+<FONT color="green">055</FONT>     * &lt;ol&gt;<a name="line.55"></a>
+<FONT color="green">056</FONT>     *  &lt;li&gt;Redistributions of source code must retain the above copyright<a name="line.56"></a>
+<FONT color="green">057</FONT>     *      notice, this list of conditions and the following disclaimer.&lt;/li&gt;<a name="line.57"></a>
+<FONT color="green">058</FONT>     * &lt;li&gt;Redistributions in binary form must reproduce the above<a name="line.58"></a>
+<FONT color="green">059</FONT>     *     copyright notice, this list of conditions and the following<a name="line.59"></a>
+<FONT color="green">060</FONT>     *     disclaimer in the documentation and/or other materials provided<a name="line.60"></a>
+<FONT color="green">061</FONT>     *     with the distribution.&lt;/li&gt;<a name="line.61"></a>
+<FONT color="green">062</FONT>     * &lt;li&gt;The end-user documentation included with the redistribution, if any,<a name="line.62"></a>
+<FONT color="green">063</FONT>     *     must include the following acknowledgment:<a name="line.63"></a>
+<FONT color="green">064</FONT>     *     &lt;code&gt;This product includes software developed by the University of<a name="line.64"></a>
+<FONT color="green">065</FONT>     *           Chicago, as Operator of Argonne National Laboratory.&lt;/code&gt;<a name="line.65"></a>
+<FONT color="green">066</FONT>     *     Alternately, this acknowledgment may appear in the software itself,<a name="line.66"></a>
+<FONT color="green">067</FONT>     *     if and wherever such third-party acknowledgments normally appear.&lt;/li&gt;<a name="line.67"></a>
+<FONT color="green">068</FONT>     * &lt;li&gt;&lt;strong&gt;WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"<a name="line.68"></a>
+<FONT color="green">069</FONT>     *     WITHOUT WARRANTY OF ANY KIND. THE COPYRIGHT HOLDER, THE<a name="line.69"></a>
+<FONT color="green">070</FONT>     *     UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, AND<a name="line.70"></a>
+<FONT color="green">071</FONT>     *     THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR<a name="line.71"></a>
+<FONT color="green">072</FONT>     *     IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES<a name="line.72"></a>
+<FONT color="green">073</FONT>     *     OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE<a name="line.73"></a>
+<FONT color="green">074</FONT>     *     OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY<a name="line.74"></a>
+<FONT color="green">075</FONT>     *     OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR<a name="line.75"></a>
+<FONT color="green">076</FONT>     *     USEFULNESS OF THE SOFTWARE, (3) DO NOT REPRESENT THAT USE OF<a name="line.76"></a>
+<FONT color="green">077</FONT>     *     THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4)<a name="line.77"></a>
+<FONT color="green">078</FONT>     *     DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION<a name="line.78"></a>
+<FONT color="green">079</FONT>     *     UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL<a name="line.79"></a>
+<FONT color="green">080</FONT>     *     BE CORRECTED.&lt;/strong&gt;&lt;/li&gt;<a name="line.80"></a>
+<FONT color="green">081</FONT>     * &lt;li&gt;&lt;strong&gt;LIMITATION OF LIABILITY. IN NO EVENT WILL THE COPYRIGHT<a name="line.81"></a>
+<FONT color="green">082</FONT>     *     HOLDER, THE UNITED STATES, THE UNITED STATES DEPARTMENT OF<a name="line.82"></a>
+<FONT color="green">083</FONT>     *     ENERGY, OR THEIR EMPLOYEES: BE LIABLE FOR ANY INDIRECT,<a name="line.83"></a>
+<FONT color="green">084</FONT>     *     INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF<a name="line.84"></a>
+<FONT color="green">085</FONT>     *     ANY KIND OR NATURE, INCLUDING BUT NOT LIMITED TO LOSS OF<a name="line.85"></a>
+<FONT color="green">086</FONT>     *     PROFITS OR LOSS OF DATA, FOR ANY REASON WHATSOEVER, WHETHER<a name="line.86"></a>
+<FONT color="green">087</FONT>     *     SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT<a name="line.87"></a>
+<FONT color="green">088</FONT>     *     (INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE,<a name="line.88"></a>
+<FONT color="green">089</FONT>     *     EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE<a name="line.89"></a>
+<FONT color="green">090</FONT>     *     POSSIBILITY OF SUCH LOSS OR DAMAGES.&lt;/strong&gt;&lt;/li&gt;<a name="line.90"></a>
+<FONT color="green">091</FONT>     * &lt;ol&gt;&lt;/td&gt;&lt;/tr&gt;<a name="line.91"></a>
+<FONT color="green">092</FONT>     * &lt;/table&gt;<a name="line.92"></a>
+<FONT color="green">093</FONT>     *<a name="line.93"></a>
+<FONT color="green">094</FONT>     * @author Argonne National Laboratory. MINPACK project. March 1980 (original fortran minpack tests)<a name="line.94"></a>
+<FONT color="green">095</FONT>     * @author Burton S. Garbow (original fortran minpack tests)<a name="line.95"></a>
+<FONT color="green">096</FONT>     * @author Kenneth E. Hillstrom (original fortran minpack tests)<a name="line.96"></a>
+<FONT color="green">097</FONT>     * @author Jorge J. More (original fortran minpack tests)<a name="line.97"></a>
+<FONT color="green">098</FONT>     * @author Luc Maisonobe (non-minpack tests and minpack tests Java translation)<a name="line.98"></a>
+<FONT color="green">099</FONT>     */<a name="line.99"></a>
+<FONT color="green">100</FONT>    public class MultiStartMultivariateVectorOptimizerTest {<a name="line.100"></a>
+<FONT color="green">101</FONT>    <a name="line.101"></a>
+<FONT color="green">102</FONT>        @Test(expected=NullPointerException.class)<a name="line.102"></a>
+<FONT color="green">103</FONT>        public void testGetOptimaBeforeOptimize() {<a name="line.103"></a>
+<FONT color="green">104</FONT>    <a name="line.104"></a>
+<FONT color="green">105</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer<a name="line.105"></a>
+<FONT color="green">106</FONT>                = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));<a name="line.106"></a>
+<FONT color="green">107</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.107"></a>
+<FONT color="green">108</FONT>            g.setSeed(16069223052l);<a name="line.108"></a>
+<FONT color="green">109</FONT>            RandomVectorGenerator generator<a name="line.109"></a>
+<FONT color="green">110</FONT>                = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.110"></a>
+<FONT color="green">111</FONT>            MultiStartMultivariateVectorOptimizer optimizer<a name="line.111"></a>
+<FONT color="green">112</FONT>                = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.112"></a>
+<FONT color="green">113</FONT>    <a name="line.113"></a>
+<FONT color="green">114</FONT>            optimizer.getOptima();<a name="line.114"></a>
+<FONT color="green">115</FONT>        }<a name="line.115"></a>
+<FONT color="green">116</FONT>    <a name="line.116"></a>
+<FONT color="green">117</FONT>        @Test<a name="line.117"></a>
+<FONT color="green">118</FONT>        public void testTrivial() {<a name="line.118"></a>
+<FONT color="green">119</FONT>            LinearProblem problem<a name="line.119"></a>
+<FONT color="green">120</FONT>                = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });<a name="line.120"></a>
+<FONT color="green">121</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer<a name="line.121"></a>
+<FONT color="green">122</FONT>                = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));<a name="line.122"></a>
+<FONT color="green">123</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.123"></a>
+<FONT color="green">124</FONT>            g.setSeed(16069223052l);<a name="line.124"></a>
+<FONT color="green">125</FONT>            RandomVectorGenerator generator<a name="line.125"></a>
+<FONT color="green">126</FONT>                = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.126"></a>
+<FONT color="green">127</FONT>            MultiStartMultivariateVectorOptimizer optimizer<a name="line.127"></a>
+<FONT color="green">128</FONT>                = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.128"></a>
+<FONT color="green">129</FONT>    <a name="line.129"></a>
+<FONT color="green">130</FONT>            PointVectorValuePair optimum<a name="line.130"></a>
+<FONT color="green">131</FONT>                = optimizer.optimize(new MaxEval(100),<a name="line.131"></a>
+<FONT color="green">132</FONT>                                     problem.getModelFunction(),<a name="line.132"></a>
+<FONT color="green">133</FONT>                                     problem.getModelFunctionJacobian(),<a name="line.133"></a>
+<FONT color="green">134</FONT>                                     problem.getTarget(),<a name="line.134"></a>
+<FONT color="green">135</FONT>                                     new Weight(new double[] { 1 }),<a name="line.135"></a>
+<FONT color="green">136</FONT>                                     new InitialGuess(new double[] { 0 }));<a name="line.136"></a>
+<FONT color="green">137</FONT>            Assert.assertEquals(1.5, optimum.getPoint()[0], 1e-10);<a name="line.137"></a>
+<FONT color="green">138</FONT>            Assert.assertEquals(3.0, optimum.getValue()[0], 1e-10);<a name="line.138"></a>
+<FONT color="green">139</FONT>            PointVectorValuePair[] optima = optimizer.getOptima();<a name="line.139"></a>
+<FONT color="green">140</FONT>            Assert.assertEquals(10, optima.length);<a name="line.140"></a>
+<FONT color="green">141</FONT>            for (int i = 0; i &lt; optima.length; i++) {<a name="line.141"></a>
+<FONT color="green">142</FONT>                Assert.assertEquals(1.5, optima[i].getPoint()[0], 1e-10);<a name="line.142"></a>
+<FONT color="green">143</FONT>                Assert.assertEquals(3.0, optima[i].getValue()[0], 1e-10);<a name="line.143"></a>
+<FONT color="green">144</FONT>            }<a name="line.144"></a>
+<FONT color="green">145</FONT>            Assert.assertTrue(optimizer.getEvaluations() &gt; 20);<a name="line.145"></a>
+<FONT color="green">146</FONT>            Assert.assertTrue(optimizer.getEvaluations() &lt; 50);<a name="line.146"></a>
+<FONT color="green">147</FONT>            Assert.assertEquals(100, optimizer.getMaxEvaluations());<a name="line.147"></a>
+<FONT color="green">148</FONT>        }<a name="line.148"></a>
+<FONT color="green">149</FONT>    <a name="line.149"></a>
+<FONT color="green">150</FONT>        @Test<a name="line.150"></a>
+<FONT color="green">151</FONT>        public void testIssue914() {<a name="line.151"></a>
+<FONT color="green">152</FONT>            LinearProblem problem = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });<a name="line.152"></a>
+<FONT color="green">153</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer =<a name="line.153"></a>
+<FONT color="green">154</FONT>                    new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6)) {<a name="line.154"></a>
+<FONT color="green">155</FONT>                public PointVectorValuePair optimize(OptimizationData... optData) {<a name="line.155"></a>
+<FONT color="green">156</FONT>                    // filter out simple bounds, as they are not supported<a name="line.156"></a>
+<FONT color="green">157</FONT>                    // by the underlying optimizer, and we don't really care for this test<a name="line.157"></a>
+<FONT color="green">158</FONT>                    OptimizationData[] filtered = optData.clone();<a name="line.158"></a>
+<FONT color="green">159</FONT>                    for (int i = 0; i &lt; filtered.length; ++i) {<a name="line.159"></a>
+<FONT color="green">160</FONT>                        if (filtered[i] instanceof SimpleBounds) {<a name="line.160"></a>
+<FONT color="green">161</FONT>                            filtered[i] = null;<a name="line.161"></a>
+<FONT color="green">162</FONT>                        }<a name="line.162"></a>
+<FONT color="green">163</FONT>                    }<a name="line.163"></a>
+<FONT color="green">164</FONT>                    return super.optimize(filtered);<a name="line.164"></a>
+<FONT color="green">165</FONT>                }<a name="line.165"></a>
+<FONT color="green">166</FONT>            };<a name="line.166"></a>
+<FONT color="green">167</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.167"></a>
+<FONT color="green">168</FONT>            g.setSeed(16069223052l);<a name="line.168"></a>
+<FONT color="green">169</FONT>            RandomVectorGenerator generator =<a name="line.169"></a>
+<FONT color="green">170</FONT>                    new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.170"></a>
+<FONT color="green">171</FONT>            MultiStartMultivariateVectorOptimizer optimizer =<a name="line.171"></a>
+<FONT color="green">172</FONT>                    new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.172"></a>
+<FONT color="green">173</FONT>    <a name="line.173"></a>
+<FONT color="green">174</FONT>            optimizer.optimize(new MaxEval(100),<a name="line.174"></a>
+<FONT color="green">175</FONT>                               problem.getModelFunction(),<a name="line.175"></a>
+<FONT color="green">176</FONT>                               problem.getModelFunctionJacobian(),<a name="line.176"></a>
+<FONT color="green">177</FONT>                               problem.getTarget(),<a name="line.177"></a>
+<FONT color="green">178</FONT>                               new Weight(new double[] { 1 }),<a name="line.178"></a>
+<FONT color="green">179</FONT>                               new InitialGuess(new double[] { 0 }),<a name="line.179"></a>
+<FONT color="green">180</FONT>                               new SimpleBounds(new double[] { -1.0e-10 }, new double[] {  1.0e-10 }));<a name="line.180"></a>
+<FONT color="green">181</FONT>            PointVectorValuePair[] optima = optimizer.getOptima();<a name="line.181"></a>
+<FONT color="green">182</FONT>            // only the first start should have succeeded<a name="line.182"></a>
+<FONT color="green">183</FONT>            Assert.assertEquals(1, optima.length);<a name="line.183"></a>
 <FONT color="green">184</FONT>    <a name="line.184"></a>
-<FONT color="green">185</FONT>            public Target getTarget() {<a name="line.185"></a>
-<FONT color="green">186</FONT>                return new Target(target);<a name="line.186"></a>
-<FONT color="green">187</FONT>            }<a name="line.187"></a>
-<FONT color="green">188</FONT>    <a name="line.188"></a>
-<FONT color="green">189</FONT>            public ModelFunction getModelFunction() {<a name="line.189"></a>
-<FONT color="green">190</FONT>                return new ModelFunction(new MultivariateVectorFunction() {<a name="line.190"></a>
-<FONT color="green">191</FONT>                        public double[] value(double[] variables) {<a name="line.191"></a>
-<FONT color="green">192</FONT>                            return factors.operate(variables);<a name="line.192"></a>
-<FONT color="green">193</FONT>                        }<a name="line.193"></a>
-<FONT color="green">194</FONT>                    });<a name="line.194"></a>
-<FONT color="green">195</FONT>            }<a name="line.195"></a>
-<FONT color="green">196</FONT>    <a name="line.196"></a>
-<FONT color="green">197</FONT>            public ModelFunctionJacobian getModelFunctionJacobian() {<a name="line.197"></a>
-<FONT color="green">198</FONT>                return new ModelFunctionJacobian(new MultivariateMatrixFunction() {<a name="line.198"></a>
-<FONT color="green">199</FONT>                        public double[][] value(double[] point) {<a name="line.199"></a>
-<FONT color="green">200</FONT>                            return factors.getData();<a name="line.200"></a>
-<FONT color="green">201</FONT>                        }<a name="line.201"></a>
-<FONT color="green">202</FONT>                    });<a name="line.202"></a>
-<FONT color="green">203</FONT>            }<a name="line.203"></a>
-<FONT color="green">204</FONT>        }<a name="line.204"></a>
-<FONT color="green">205</FONT>    }<a name="line.205"></a>
+<FONT color="green">185</FONT>        }<a name="line.185"></a>
+<FONT color="green">186</FONT>    <a name="line.186"></a>
+<FONT color="green">187</FONT>        /**<a name="line.187"></a>
+<FONT color="green">188</FONT>         * Test demonstrating that the user exception is finally thrown if none<a name="line.188"></a>
+<FONT color="green">189</FONT>         * of the runs succeed.<a name="line.189"></a>
+<FONT color="green">190</FONT>         */<a name="line.190"></a>
+<FONT color="green">191</FONT>        @Test(expected=TestException.class)<a name="line.191"></a>
+<FONT color="green">192</FONT>        public void testNoOptimum() {<a name="line.192"></a>
+<FONT color="green">193</FONT>            JacobianMultivariateVectorOptimizer underlyingOptimizer<a name="line.193"></a>
+<FONT color="green">194</FONT>                = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));<a name="line.194"></a>
+<FONT color="green">195</FONT>            JDKRandomGenerator g = new JDKRandomGenerator();<a name="line.195"></a>
+<FONT color="green">196</FONT>            g.setSeed(12373523445l);<a name="line.196"></a>
+<FONT color="green">197</FONT>            RandomVectorGenerator generator<a name="line.197"></a>
+<FONT color="green">198</FONT>                = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));<a name="line.198"></a>
+<FONT color="green">199</FONT>            MultiStartMultivariateVectorOptimizer optimizer<a name="line.199"></a>
+<FONT color="green">200</FONT>                = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);<a name="line.200"></a>
+<FONT color="green">201</FONT>            optimizer.optimize(new MaxEval(100),<a name="line.201"></a>
+<FONT color="green">202</FONT>                               new Target(new double[] { 0 }),<a name="line.202"></a>
+<FONT color="green">203</FONT>                               new Weight(new double[] { 1 }),<a name="line.203"></a>
+<FONT color="green">204</FONT>                               new InitialGuess(new double[] { 0 }),<a name="line.204"></a>
+<FONT color="green">205</FONT>                               new ModelFunction(new MultivariateVectorFunction() {<a name="line.205"></a>
+<FONT color="green">206</FONT>                                       public double[] value(double[] point) {<a name="line.206"></a>
+<FONT color="green">207</FONT>                                           throw new TestException();<a name="line.207"></a>
+<FONT color="green">208</FONT>                                       }<a name="line.208"></a>
+<FONT color="green">209</FONT>                                   }));<a name="line.209"></a>
+<FONT color="green">210</FONT>        }<a name="line.210"></a>
+<FONT color="green">211</FONT>    <a name="line.211"></a>
+<FONT color="green">212</FONT>        private static class TestException extends RuntimeException {<a name="line.212"></a>
+<FONT color="green">213</FONT>    <a name="line.213"></a>
+<FONT color="green">214</FONT>        private static final long serialVersionUID = 1L;}<a name="line.214"></a>
+<FONT color="green">215</FONT>    <a name="line.215"></a>
+<FONT color="green">216</FONT>        private static class LinearProblem {<a name="line.216"></a>
+<FONT color="green">217</FONT>            private final RealMatrix factors;<a name="line.217"></a>
+<FONT color="green">218</FONT>            private final double[] target;<a name="line.218"></a>
+<FONT color="green">219</FONT>    <a name="line.219"></a>
+<FONT color="green">220</FONT>            public LinearProblem(double[][] factors,<a name="line.220"></a>
+<FONT color="green">221</FONT>                                 double[] target) {<a name="line.221"></a>
+<FONT color="green">222</FONT>                this.factors = new BlockRealMatrix(factors);<a name="line.222"></a>
+<FONT color="green">223</FONT>                this.target  = target;<a name="line.223"></a>
+<FONT color="green">224</FONT>            }<a name="line.224"></a>
+<FONT color="green">225</FONT>    <a name="line.225"></a>
+<FONT color="green">226</FONT>            public Target getTarget() {<a name="line.226"></a>
+<FONT color="green">227</FONT>                return new Target(target);<a name="line.227"></a>
+<FONT color="green">228</FONT>            }<a name="line.228"></a>
+<FONT color="green">229</FONT>    <a name="line.229"></a>
+<FONT color="green">230</FONT>            public ModelFunction getModelFunction() {<a name="line.230"></a>
+<FONT color="green">231</FONT>                return new ModelFunction(new MultivariateVectorFunction() {<a name="line.231"></a>
+<FONT color="green">232</FONT>                        public double[] value(double[] variables) {<a name="line.232"></a>
+<FONT color="green">233</FONT>                            return factors.operate(variables);<a name="line.233"></a>
+<FONT color="green">234</FONT>                        }<a name="line.234"></a>
+<FONT color="green">235</FONT>                    });<a name="line.235"></a>
+<FONT color="green">236</FONT>            }<a name="line.236"></a>
+<FONT color="green">237</FONT>    <a name="line.237"></a>
+<FONT color="green">238</FONT>            public ModelFunctionJacobian getModelFunctionJacobian() {<a name="line.238"></a>
+<FONT color="green">239</FONT>                return new ModelFunctionJacobian(new MultivariateMatrixFunction() {<a name="line.239"></a>
+<FONT color="green">240</FONT>                        public double[][] value(double[] point) {<a name="line.240"></a>
+<FONT color="green">241</FONT>                            return factors.getData();<a name="line.241"></a>
+<FONT color="green">242</FONT>                        }<a name="line.242"></a>
+<FONT color="green">243</FONT>                    });<a name="line.243"></a>
+<FONT color="green">244</FONT>            }<a name="line.244"></a>
+<FONT color="green">245</FONT>        }<a name="line.245"></a>
+<FONT color="green">246</FONT>    }<a name="line.246"></a>
 
 
 



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