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<div class="subTitle">org.apache.commons.math3.fitting.leastsquares</div>
<h2 title="Interface LeastSquaresProblem.Evaluation" class="title">Interface LeastSquaresProblem.Evaluation</h2>
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<dt>All Known Subinterfaces:</dt>
<dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresOptimizer.Optimum.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresOptimizer.Optimum</a></dd>
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<dt>All Known Implementing Classes:</dt>
<dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/AbstractEvaluation.html" title="class in org.apache.commons.math3.fitting.leastsquares">AbstractEvaluation</a></dd>
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<dl>
<dt>Enclosing interface:</dt>
<dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.html" title="interface in org.apache.commons.math3.fitting.leastsquares">LeastSquaresProblem</a></dd>
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<pre>public static interface <span class="strong">LeastSquaresProblem.Evaluation</span></pre>
<div class="block">An evaluation of a <a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.html" title="interface in org.apache.commons.math3.fitting.leastsquares"><code>LeastSquaresProblem</code></a> at a particular point. This class
 also computes several quantities derived from the value and its Jacobian.</div>
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<h3>Method Summary</h3>
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<caption><span>Methods</span><span class="tabEnd">&nbsp;</span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getCost()">getCost</a></strong>()</code>
<div class="block">Get the cost.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/linear/RealMatrix.html" title="interface in org.apache.commons.math3.linear">RealMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getCovariances(double)">getCovariances</a></strong>(double&nbsp;threshold)</code>
<div class="block">Get the covariance matrix of the optimized parameters.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/linear/RealMatrix.html" title="interface in org.apache.commons.math3.linear">RealMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getJacobian()">getJacobian</a></strong>()</code>
<div class="block">Get the weighted Jacobian matrix.</div>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/linear/RealVector.html" title="class in org.apache.commons.math3.linear">RealVector</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getPoint()">getPoint</a></strong>()</code>
<div class="block">Get the abscissa (independent variables) of this evaluation.</div>
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<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/linear/RealVector.html" title="class in org.apache.commons.math3.linear">RealVector</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getResiduals()">getResiduals</a></strong>()</code>
<div class="block">Get the weighted residuals.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getRMS()">getRMS</a></strong>()</code>
<div class="block">Get the normalized cost.</div>
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<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/linear/RealVector.html" title="class in org.apache.commons.math3.linear">RealVector</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getSigma(double)">getSigma</a></strong>(double&nbsp;covarianceSingularityThreshold)</code>
<div class="block">Get an estimate of the standard deviation of the parameters.</div>
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<h4>getCovariances</h4>
<pre><a href="../../../../../../org/apache/commons/math3/linear/RealMatrix.html" title="interface in org.apache.commons.math3.linear">RealMatrix</a>&nbsp;getCovariances(double&nbsp;threshold)</pre>
<div class="block">Get the covariance matrix of the optimized parameters. <br/> Note that this
 operation involves the inversion of the <code>J<sup>T</sup>J</code> matrix,
 where <code>J</code> is the Jacobian matrix. The <code>threshold</code> parameter is a
 way for the caller to specify that the result of this computation should be
 considered meaningless, and thus trigger an exception.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>threshold</code> - Singularity threshold.</dd>
<dt><span class="strong">Returns:</span></dt><dd>the covariance matrix.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/linear/SingularMatrixException.html" title="class in org.apache.commons.math3.linear">SingularMatrixException</a></code> - if the covariance matrix cannot be computed (singular problem).</dd></dl>
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<h4>getSigma</h4>
<pre><a href="../../../../../../org/apache/commons/math3/linear/RealVector.html" title="class in org.apache.commons.math3.linear">RealVector</a>&nbsp;getSigma(double&nbsp;covarianceSingularityThreshold)</pre>
<div class="block">Get an estimate of the standard deviation of the parameters. The returned
 values are the square root of the diagonal coefficients of the covariance
 matrix, <code>sd(a[i]) ~= sqrt(C[i][i])</code>, where <code>a[i]</code> is the optimized
 value of the <code>i</code>-th parameter, and <code>C</code> is the covariance matrix.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>covarianceSingularityThreshold</code> - Singularity threshold (see <a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getCovariances(double)"><code>computeCovariances</code></a>).</dd>
<dt><span class="strong">Returns:</span></dt><dd>an estimate of the standard deviation of the optimized parameters</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/linear/SingularMatrixException.html" title="class in org.apache.commons.math3.linear">SingularMatrixException</a></code> - if the covariance matrix cannot be computed.</dd></dl>
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<h4>getRMS</h4>
<pre>double&nbsp;getRMS()</pre>
<div class="block">Get the normalized cost. It is the square-root of the sum of squared of
 the residuals, divided by the number of measurements.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the cost.</dd></dl>
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<h4>getJacobian</h4>
<pre><a href="../../../../../../org/apache/commons/math3/linear/RealMatrix.html" title="interface in org.apache.commons.math3.linear">RealMatrix</a>&nbsp;getJacobian()</pre>
<div class="block">Get the weighted Jacobian matrix.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the weighted Jacobian: W<sup>1/2</sup> J.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/exception/DimensionMismatchException.html" title="class in org.apache.commons.math3.exception">DimensionMismatchException</a></code> - if the Jacobian dimension does not match problem dimension.</dd></dl>
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<h4>getCost</h4>
<pre>double&nbsp;getCost()</pre>
<div class="block">Get the cost.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the cost.</dd><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.Evaluation.html#getResiduals()"><code>getResiduals()</code></a></dd></dl>
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<h4>getResiduals</h4>
<pre><a href="../../../../../../org/apache/commons/math3/linear/RealVector.html" title="class in org.apache.commons.math3.linear">RealVector</a>&nbsp;getResiduals()</pre>
<div class="block">Get the weighted residuals. The residual is the difference between the
 observed (target) values and the model (objective function) value. There is one
 residual for each element of the vector-valued function. The raw residuals are
 then multiplied by the square root of the weight matrix.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the weighted residuals: W<sup>1/2</sup> K.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/exception/DimensionMismatchException.html" title="class in org.apache.commons.math3.exception">DimensionMismatchException</a></code> - if the residuals have the wrong length.</dd></dl>
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<h4>getPoint</h4>
<pre><a href="../../../../../../org/apache/commons/math3/linear/RealVector.html" title="class in org.apache.commons.math3.linear">RealVector</a>&nbsp;getPoint()</pre>
<div class="block">Get the abscissa (independent variables) of this evaluation.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the point provided to <a href="../../../../../../org/apache/commons/math3/fitting/leastsquares/LeastSquaresProblem.html#evaluate(org.apache.commons.math3.linear.RealVector)"><code>LeastSquaresProblem.evaluate(RealVector)</code></a>.</dd></dl>
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