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+<div class="subTitle">org.apache.commons.math3.fitting.leastsquares</div>
+<h2 title="Class LevenbergMarquardtOptimizer" class="title">Class LevenbergMarquardtOptimizer</h2>
+</div>
+<div class="contentContainer">
+<ul class="inheritance">
+<li><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">java.lang.Object</a></li>
+<li>
+<ul class="inheritance">
+<li>org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer</li>
+</ul>
+</li>
+</ul>
+<div class="description">
+<ul class="blockList">
+<li class="blockList">
+<dl>
+<dt>All Implemented Interfaces:</dt>
+<dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer</a></dd>
+</dl>
+<hr>
+<br>
+<pre>public class <span class="strong">LevenbergMarquardtOptimizer</span>
+extends <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a>
+implements <a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer</a></pre>
+<div class="block">This class solves a least-squares problem using the Levenberg-Marquardt
+ algorithm.
+
+ <p>This implementation <em>should</em> work even for over-determined systems
+ (i.e. systems having more point than equations). Over-determined systems
+ are solved by ignoring the point which have the smallest impact according
+ to their jacobian column norm. Only the rank of the matrix and some loop bounds
+ are changed to implement this.</p>
+
+ <p>The resolution engine is a simple translation of the MINPACK <a
+ href="http://www.netlib.org/minpack/lmder.f">lmder</a> routine with minor
+ changes. The changes include the over-determined resolution, the use of
+ inherited convergence checker and the Q.R. decomposition which has been
+ rewritten following the algorithm described in the
+ P. Lascaux and R. Theodor book <i>Analyse num&eacute;rique matricielle
+ appliqu&eacute;e &agrave; l'art de l'ing&eacute;nieur</i>, Masson 1986.</p>
+ <p>The authors of the original fortran version are:
+ <ul>
+ <li>Argonne National Laboratory. MINPACK project. March 1980</li>
+ <li>Burton S. Garbow</li>
+ <li>Kenneth E. Hillstrom</li>
+ <li>Jorge J. More</li>
+ </ul>
+ The redistribution policy for MINPACK is available <a
+ href="http://www.netlib.org/minpack/disclaimer">here</a>, for convenience, it
+ is reproduced below.</p>
+
+ <table border="0" width="80%" cellpadding="10" align="center" bgcolor="#E0E0E0">
+ <tr><td>
+ Minpack Copyright Notice (1999) University of Chicago.
+ All rights reserved
+ </td></tr>
+ <tr><td>
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+ <ol>
+ <li>Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.</li>
+ <li>Redistributions in binary form must reproduce the above
+ copyright notice, this list of conditions and the following
+ disclaimer in the documentation and/or other materials provided
+ with the distribution.</li>
+ <li>The end-user documentation included with the redistribution, if any,
+ must include the following acknowledgment:
+ <code>This product includes software developed by the University of
+ Chicago, as Operator of Argonne National Laboratory.</code>
+ Alternately, this acknowledgment may appear in the software itself,
+ if and wherever such third-party acknowledgments normally appear.</li>
+ <li><strong>WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"
+ WITHOUT WARRANTY OF ANY KIND. THE COPYRIGHT HOLDER, THE
+ UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, AND
+ THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR
+ IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES
+ OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE
+ OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY
+ OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR
+ USEFULNESS OF THE SOFTWARE, (3) DO NOT REPRESENT THAT USE OF
+ THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4)
+ DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION
+ UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL
+ BE CORRECTED.</strong></li>
+ <li><strong>LIMITATION OF LIABILITY. IN NO EVENT WILL THE COPYRIGHT
+ HOLDER, THE UNITED STATES, THE UNITED STATES DEPARTMENT OF
+ ENERGY, OR THEIR EMPLOYEES: BE LIABLE FOR ANY INDIRECT,
+ INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF
+ ANY KIND OR NATURE, INCLUDING BUT NOT LIMITED TO LOSS OF
+ PROFITS OR LOSS OF DATA, FOR ANY REASON WHATSOEVER, WHETHER
+ SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT
+ (INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE,
+ EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE
+ POSSIBILITY OF SUCH LOSS OR DAMAGES.</strong></li>
+ <ol></td></tr>
+ </table></div>
+<dl><dt><span class="strong">Since:</span></dt>
+ <dd>3.3</dd></dl>
+</li>
+</ul>
+</div>
+<div class="summary">
+<ul class="blockList">
+<li class="blockList">
+<!-- ======== NESTED CLASS SUMMARY ======== -->
+<ul class="blockList">
+<li class="blockList"><a name="nested_class_summary">
+<!-- -->
+</a>
+<h3>Nested Class Summary</h3>
+<ul class="blockList">
+<li class="blockList"><a name="nested_classes_inherited_from_class_org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer">
+<!-- -->
+</a>
+<h3>Nested classes/interfaces inherited from interface&nbsp;org.apache.commons.math3.fitting.leastsquares.<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer</a></h3>
+<code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.Optimum.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer.Optimum</a></code></li>
+</ul>
+</li>
+</ul>
+<!-- ======== CONSTRUCTOR SUMMARY ======== -->
+<ul class="blockList">
+<li class="blockList"><a name="constructor_summary">
+<!-- -->
+</a>
+<h3>Constructor Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Constructor Summary table, listing constructors, and an explanation">
+<caption><span>Constructors</span><span class="tabEnd">&nbsp;</span></caption>
+<tr>
+<th class="colOne" scope="col">Constructor and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#LevenbergMarquardtOptimizer()">LevenbergMarquardtOptimizer</a></strong>()</code>
+<div class="block">Default constructor.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#LevenbergMarquardtOptimizer(double,%20double,%20double,%20double,%20double)">LevenbergMarquardtOptimizer</a></strong>(double&nbsp;initialStepBoundFactor,
+ double&nbsp;costRelativeTolerance,
+ double&nbsp;parRelativeTolerance,
+ double&nbsp;orthoTolerance,
+ double&nbsp;qrRankingThreshold)</code>
+<div class="block">Construct an instance with all parameters specified.</div>
+</td>
+</tr>
+</table>
+</li>
+</ul>
+<!-- ========== METHOD SUMMARY =========== -->
+<ul class="blockList">
+<li class="blockList"><a name="method_summary">
+<!-- -->
+</a>
+<h3>Method Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
+<caption><span>Methods</span><span class="tabEnd">&nbsp;</span></caption>
+<tr>
+<th class="colFirst" scope="col">Modifier and Type</th>
+<th class="colLast" scope="col">Method and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#getCostRelativeTolerance()">getCostRelativeTolerance</a></strong>()</code>
+<div class="block">Gets the value of a tuning parameter.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#getInitialStepBoundFactor()">getInitialStepBoundFactor</a></strong>()</code>
+<div class="block">Gets the value of a tuning parameter.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#getOrthoTolerance()">getOrthoTolerance</a></strong>()</code>
+<div class="block">Gets the value of a tuning parameter.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#getParameterRelativeTolerance()">getParameterRelativeTolerance</a></strong>()</code>
+<div class="block">Gets the value of a tuning parameter.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#getRankingThreshold()">getRankingThreshold</a></strong>()</code>
+<div class="block">Gets the value of a tuning parameter.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.Optimum.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer.Optimum</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#optimize(org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem)">optimize</a></strong>(<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresProblem</a>&nbsp;problem)</code>
+<div class="block">Solve the non-linear least squares problem.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withCostRelativeTolerance(double)">withCostRelativeTolerance</a></strong>(double&nbsp;newCostRelativeTolerance)</code>&nbsp;</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withInitialStepBoundFactor(double)">withInitialStepBoundFactor</a></strong>(double&nbsp;newInitialStepBoundFactor)</code>&nbsp;</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withOrthoTolerance(double)">withOrthoTolerance</a></strong>(double&nbsp;newOrthoTolerance)</code>
+<div class="block">Modifies the given parameter.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withParameterRelativeTolerance(double)">withParameterRelativeTolerance</a></strong>(double&nbsp;newParRelativeTolerance)</code>&nbsp;</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withRankingThreshold(double)">withRankingThreshold</a></strong>(double&nbsp;newQRRankingThreshold)</code>&nbsp;</td>
+</tr>
+</table>
+<ul class="blockList">
+<li class="blockList"><a name="methods_inherited_from_class_java.lang.Object">
+<!-- -->
+</a>
+<h3>Methods inherited from class&nbsp;java.lang.<a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></h3>
+<code><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#clone()" title="class or interface in java.lang">clone</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#equals(java.lang.Object)" title="class or interface in java.lang">equals</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#finalize()" title="class or interface in java.lang">finalize</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#getClass()" title="class or interface in java.lang">getClass</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#hashCode()" title="class or interface in java.lang">hashCode</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notify()" title="class or interface in java.lang">notify</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notifyAll()" title="class or interface in java.lang">notifyAll</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#toString()" title="class or interface in java.lang">toString</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait()" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long)" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long,%20int)" title="class or interface in java.lang">wait</a></code></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="details">
+<ul class="blockList">
+<li class="blockList">
+<!-- ========= CONSTRUCTOR DETAIL ======== -->
+<ul class="blockList">
+<li class="blockList"><a name="constructor_detail">
+<!-- -->
+</a>
+<h3>Constructor Detail</h3>
+<a name="LevenbergMarquardtOptimizer()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>LevenbergMarquardtOptimizer</h4>
+<pre>public&nbsp;LevenbergMarquardtOptimizer()</pre>
+<div class="block">Default constructor.
+ <p>
+ The default values for the algorithm settings are:
+ <ul>
+ <li>Initial step bound factor: 100</li>
+ <li>Cost relative tolerance: 1e-10</li>
+ <li>Parameters relative tolerance: 1e-10</li>
+ <li>Orthogonality tolerance: 1e-10</li>
+ <li>QR ranking threshold: <a href="../../../../../../org/apache/commons/math3/util/Precision.html#SAFE_MIN"><code>Precision.SAFE_MIN</code></a></li>
+ </ul></div>
+</li>
+</ul>
+<a name="LevenbergMarquardtOptimizer(double, double, double, double, double)">
+<!-- -->
+</a>
+<ul class="blockListLast">
+<li class="blockList">
+<h4>LevenbergMarquardtOptimizer</h4>
+<pre>public&nbsp;LevenbergMarquardtOptimizer(double&nbsp;initialStepBoundFactor,
+ double&nbsp;costRelativeTolerance,
+ double&nbsp;parRelativeTolerance,
+ double&nbsp;orthoTolerance,
+ double&nbsp;qrRankingThreshold)</pre>
+<div class="block">Construct an instance with all parameters specified.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>initialStepBoundFactor</code> - initial step bound factor</dd><dd><code>costRelativeTolerance</code> - cost relative tolerance</dd><dd><code>parRelativeTolerance</code> - parameters relative tolerance</dd><dd><code>orthoTolerance</code> - orthogonality tolerance</dd><dd><code>qrRankingThreshold</code> - threshold in the QR decomposition. Columns with a 2
+ norm less than this threshold are considered to be
+ all 0s.</dd></dl>
+</li>
+</ul>
+</li>
+</ul>
+<!-- ============ METHOD DETAIL ========== -->
+<ul class="blockList">
+<li class="blockList"><a name="method_detail">
+<!-- -->
+</a>
+<h3>Method Detail</h3>
+<a name="withInitialStepBoundFactor(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>withInitialStepBoundFactor</h4>
+<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a>&nbsp;withInitialStepBoundFactor(double&nbsp;newInitialStepBoundFactor)</pre>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>newInitialStepBoundFactor</code> - Positive input variable used in
+ determining the initial step bound. This bound is set to the
+ product of initialStepBoundFactor and the euclidean norm of
+ <code>diag * x</code> if non-zero, or else to <code>newInitialStepBoundFactor</code>
+ itself. In most cases factor should lie in the interval
+ <code>(0.1, 100.0)</code>. <code>100</code> is a generally recommended value.
+ of the matrix is reduced.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>a new instance.</dd></dl>
+</li>
+</ul>
+<a name="withCostRelativeTolerance(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>withCostRelativeTolerance</h4>
+<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a>&nbsp;withCostRelativeTolerance(double&nbsp;newCostRelativeTolerance)</pre>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>newCostRelativeTolerance</code> - Desired relative error in the sum of squares.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>a new instance.</dd></dl>
+</li>
+</ul>
+<a name="withParameterRelativeTolerance(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>withParameterRelativeTolerance</h4>
+<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a>&nbsp;withParameterRelativeTolerance(double&nbsp;newParRelativeTolerance)</pre>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>newParRelativeTolerance</code> - Desired relative error in the approximate solution
+ parameters.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>a new instance.</dd></dl>
+</li>
+</ul>
+<a name="withOrthoTolerance(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>withOrthoTolerance</h4>
+<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a>&nbsp;withOrthoTolerance(double&nbsp;newOrthoTolerance)</pre>
+<div class="block">Modifies the given parameter.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>newOrthoTolerance</code> - Desired max cosine on the orthogonality between
+ the function vector and the columns of the Jacobian.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>a new instance.</dd></dl>
+</li>
+</ul>
+<a name="withRankingThreshold(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>withRankingThreshold</h4>
+<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html" title="class in org.apache.commons.math3.fitting.leastsquares">LevenbergMarquardtOptimizer</a>&nbsp;withRankingThreshold(double&nbsp;newQRRankingThreshold)</pre>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>newQRRankingThreshold</code> - Desired threshold for QR ranking.
+ If the squared norm of a column vector is smaller or equal to this
+ threshold during QR decomposition, it is considered to be a zero vector
+ and hence the rank of the matrix is reduced.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>a new instance.</dd></dl>
+</li>
+</ul>
+<a name="getInitialStepBoundFactor()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>getInitialStepBoundFactor</h4>
+<pre>public&nbsp;double&nbsp;getInitialStepBoundFactor()</pre>
+<div class="block">Gets the value of a tuning parameter.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the parameter's value.</dd><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withInitialStepBoundFactor(double)"><code>withInitialStepBoundFactor(double)</code></a></dd></dl>
+</li>
+</ul>
+<a name="getCostRelativeTolerance()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>getCostRelativeTolerance</h4>
+<pre>public&nbsp;double&nbsp;getCostRelativeTolerance()</pre>
+<div class="block">Gets the value of a tuning parameter.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the parameter's value.</dd><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withCostRelativeTolerance(double)"><code>withCostRelativeTolerance(double)</code></a></dd></dl>
+</li>
+</ul>
+<a name="getParameterRelativeTolerance()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>getParameterRelativeTolerance</h4>
+<pre>public&nbsp;double&nbsp;getParameterRelativeTolerance()</pre>
+<div class="block">Gets the value of a tuning parameter.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the parameter's value.</dd><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withParameterRelativeTolerance(double)"><code>withParameterRelativeTolerance(double)</code></a></dd></dl>
+</li>
+</ul>
+<a name="getOrthoTolerance()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>getOrthoTolerance</h4>
+<pre>public&nbsp;double&nbsp;getOrthoTolerance()</pre>
+<div class="block">Gets the value of a tuning parameter.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the parameter's value.</dd><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withOrthoTolerance(double)"><code>withOrthoTolerance(double)</code></a></dd></dl>
+</li>
+</ul>
+<a name="getRankingThreshold()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>getRankingThreshold</h4>
+<pre>public&nbsp;double&nbsp;getRankingThreshold()</pre>
+<div class="block">Gets the value of a tuning parameter.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the parameter's value.</dd><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LevenbergMarquardtOptimizer.html#withRankingThreshold(double)"><code>withRankingThreshold(double)</code></a></dd></dl>
+</li>
+</ul>
+<a name="optimize(org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem)">
+<!-- -->
+</a>
+<ul class="blockListLast">
+<li class="blockList">
+<h4>optimize</h4>
+<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.Optimum.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer.Optimum</a>&nbsp;optimize(<a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresProblem</a>&nbsp;problem)</pre>
+<div class="block">Solve the non-linear least squares problem.</div>
+<dl>
+<dt><strong>Specified by:</strong></dt>
+<dd><code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.html#optimize(org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem)">optimize</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer</a></code></dd>
+<dt><span class="strong">Parameters:</span></dt><dd><code>problem</code> - the problem definition, including model function and
+ convergence criteria.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>The optimum.</dd></dl>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</div>
+<!-- ========= END OF CLASS DATA ========= -->
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