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<h3 class="section">1.6 Alternative frontend for gradient-less algorithms</h3>
<p><a name="index-fmins-9"></a>
<!-- fmins ../inst/fmins.m -->
<a name="XREFfmins"></a>
<div class="defun">
— Function File: [<var>x</var>] = <b>fmins</b> (<var>f,X0,options,grad,P1,P2, ...</var>)<var><a name="index-fmins-10"></a></var><br>
<blockquote>
<p>Find the minimum of a funtion of several variables.
By default the method used is the Nelder&Mead Simplex algorithm
<p>Example usage:
fmins(inline('(x(1)-5).^2+(x(2)-8).^4'),[0;0])
<p><strong>Inputs</strong>
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<dl>
<dt><var>f</var><dd>A string containing the name of the function to minimize
<br><dt><var>X0</var><dd>A vector of initial parameters fo the function <var>f</var>.
<br><dt><var>options</var><dd>Vector with control parameters (not all parameters are used)
<pre class="verbatim"> options(1) - Show progress (if 1, default is 0, no progress)
options(2) - Relative size of simplex (default 1e-3)
options(6) - Optimization algorithm
if options(6)==0 - Nelder & Mead simplex (default)
if options(6)==1 - Multidirectional search Method
if options(6)==2 - Alternating Directions search
options(5)
if options(6)==0 && options(5)==0 - regular simplex
if options(6)==0 && options(5)==1 - right-angled simplex
Comment: the default is set to "right-angled simplex".
this works better for me on a broad range of problems,
although the default in nmsmax is "regular simplex"
options(10) - Maximum number of function evaluations
</pre>
<br><dt><var>grad</var><dd>Unused (For compatibility with Matlab)
<br><dt><var>P1</var>, <var>P2</var>, ...<dd>Optional parameters for function <var>f</var>
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