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        <title>potfit wiki - algorithms</title>
        <description>open source force-matching</description>
        <link>https://www.potfit.net/wiki/</link>
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            <title>diffevo</title>
            <link>https://www.potfit.net/wiki/doku.php?id=algorithms:diffevo&amp;rev=1515605168</link>
            <description>Differential Evolution

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The Differential Evolution algorithm can be used instead of simann in the optimization part of potfit. Enabling it with the evo compilation switch will create a binary that first uses Differential Evolution and then subsequently the $NP$$\boldsymbol x_{i,G=0}\;,i=1,2,\ldots,NP$$G$$NP-1$$\boldsymbol x_{i,G}\;i=1,2,\ldots,NP$$\boldsymbol v$$$\boldsymbol v_{i,G+1}=\boldsymbol x_{r_1,G}+F\left(\boldsymbol x_{r_2,G}-\boldsymbol x_{r_3,G}\right)$$$r_1,r_2,r_3 \in {1…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 10 Jan 2018 17:26:08 +0000</pubDate>
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        <item>
            <title>lsq</title>
            <link>https://www.potfit.net/wiki/doku.php?id=algorithms:lsq&amp;rev=1515603681</link>
            <description>Method of Least Squares

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This page is a quote from the 
PhD Thesis of P. Brommer.

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Force Matching is closely related to determining the parameters $\xi_{i}$,
$i=1,\ldots,n$ of a parametrised function $f_{\left\{\xi_{i}\right\}}(x)$ from
a series of $m$ measurements, with $m\gg n$

$$f_{\left\{\xi_{i}\right\}}(x_{j}) = y_{j}, \quad j=1,\ldots,m.\qquad (2.51)$$

Due to measurement errors, this system can generally not be solved exactly. The
best solution minimises the devia…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 10 Jan 2018 17:01:21 +0000</pubDate>
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            <title>main</title>
            <link>https://www.potfit.net/wiki/doku.php?id=algorithms:main&amp;rev=1515603698</link>
            <description>Algorithms

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This page is a quote from the PhD Thesis of P. Brommer.

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Force Matching

As described above, classical MD calculations require effective potentials,
which for many simple materials are matched to well-known experimental
values. For structurally or chemically complex materials, there are generally
more potential parameters to be determined, and the number of usable
experimental measurements does not cover the increased need for data. In some
cases, the exact st…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 10 Jan 2018 17:01:38 +0000</pubDate>
        </item>
        <item>
            <title>sidebar</title>
            <link>https://www.potfit.net/wiki/doku.php?id=algorithms:sidebar&amp;rev=1550911594</link>
            <description>Main page

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Download

Publications

Contact

About potfit

User Guide

	*  Compiling potfit
	*  Options
	*  Running potfit
	*  Parameters
	*  Configuration files
	*  Potential models
	*  Potential files
	*  Interactions
	*  Algorithms
		*  Simulated Annealing
		*  Differential Evolution
		*  Method of least squares

	*  Output
	*  Units
	*  Utilities
	*  Limitations

Examples

	*  Configurations
	*  Potentials
	*  Parameter files
	*  Advanced Examples
	*  Tutorials

Potential Database…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Sat, 23 Feb 2019 08:46:34 +0000</pubDate>
        </item>
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            <title>simann</title>
            <link>https://www.potfit.net/wiki/doku.php?id=algorithms:simann&amp;rev=1515603577</link>
            <description>Simulated Annealing

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This page is a quote from the PhD Thesis of P. Brommer.

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If there is a disadvantage to Powell&#039;s method as described above, it
is that it readily jumps to the closest local minimum available, ignoring any
other, perhaps even better local minima. As the sequence of $Z(\boldsymbol\xi_{i})$$\Delta E,$$\Delta E&gt;0$$P(\Delta E)=\exp(-\Delta E/k_{B}T)$$T$$\boldsymbol x$$\delta\boldsymbol x$$Z(\boldsymbol\xi)$$. $$T$$\boldsymbol v\in\mathbb{R}^n$$\boldsymbol x…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 10 Jan 2018 16:59:37 +0000</pubDate>
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