updated docs

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Davis King 2010-12-04 19:48:29 +00:00
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<name>Optimization</name> <name>Optimization</name>
<link>optimization_ex.cpp.html</link> <link>optimization_ex.cpp.html</link>
</item> </item>
<item>
<name>Non-Linear Least Squares</name>
<link>least_squares_ex.cpp.html</link>
</item>
<item> <item>
<name>Kernel_RLS_Filtering</name> <name>Kernel_RLS_Filtering</name>
<link>krls_filter_ex.cpp.html</link> <link>krls_filter_ex.cpp.html</link>

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This page documents library components that attempt to find the This page documents library components that attempt to find the
minimum or maximum of a user supplied function. An introduction minimum or maximum of a user supplied function. An introduction
to the general purpose non-linear optimizers in this section can be to the general purpose non-linear optimizers in this section can be
found <a href="optimization_ex.cpp.html">here</a>. found <a href="optimization_ex.cpp.html">here</a>. For an example
showing how to use the non-linear least squares routines look
<a href="least_squares_ex.cpp.html">here</a>.
</p> </p>
</body> </body>
@ -483,6 +485,9 @@ subject to the following constraint:
large at the solution) large at the solution)
</description> </description>
<examples>
<example>least_squares_ex.cpp.html</example>
</examples>
</component> </component>
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@ -498,6 +503,9 @@ subject to the following constraint:
terms in the least squares function, the residuals, go to zero at the solution) terms in the least squares function, the residuals, go to zero at the solution)
</description> </description>
<examples>
<example>least_squares_ex.cpp.html</example>
</examples>
</component> </component>
<!-- ************************************************************************* --> <!-- ************************************************************************* -->