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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
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<title>Software produced by the SLRA project</title>
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<table summary="Table for page layout." id="tlayout">
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<div class="menu-item"><a href="index.html">Overview</a></div>
<div class="menu-item"><a href="software.html" class="current">Software</a></div>
<div class="menu-item"><a href="software-slra.html"> SLRA package</a></div>
<div class="menu-item"><a href="software-ident.html"> IDENT package</a></div>
<div class="menu-item"><a href="publications.html">Publications</a></div>
<div class="menu-item"><a href="presentations.html">Presentations</a></div>
<div class="menu-item"><a href="sessions.html">Special sessions</a></div>
<div class="menu-item"><a href="lectures.html">Mini courses</a></div>
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<h1>Software produced by the SLRA project</h1>
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<img src="software-logo.png" alt="" width="120px" /> </td>
<td align="left"><h2><a href="software-slra.html">SLRA: Software for weighted structured low-rank approximation</a></h2>
<p>The SLRA package computes locally optimal solutions to low-rank approximation problems with the following features:</p>
<ul>
<li><p>constraint on the approximating matrix,</p>
</li>
<li><p><i>weighted 2-norm</i> approximation criterion,</p>
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<li><p><i>fixed elements</i> in the approximating matrix,</p>
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<li><p><i>missing elements</i> in the data matrix, and</p>
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<li><p><i>linear constraints</i> on an approximating matrix's left kernel basis.</p>
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<img src="ident-logo.png" alt="" width="120px" /> </td>
<td align="left"><h2><a href="software-ident.html">IDENT: Package for identification in behavioural setting</a></h2>
<p>The IDENT package solves identification problems with no a priori separation of the variables into inputs and outputs and representation invariant approximation criterion. The model class consists of linear time-invariant systems of bounded complexity and the approximation criterion is the minimum of a weighted 2-norm distance between the given time series and a time series that is consistent with the model. The problem is equivalent to and is solved as a mosaic-Hankel structured low-rank approximation problem.Additional nonstandard features of the software are specification of exact and missing variables and identification from multiple experiments.</p>
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