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Commit 7df6fd4c authored by Christophe Geuzaine's avatar Christophe Geuzaine
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Merge branch 'master' of https://gitlab.onelab.info/doc/website

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<p> <p>
OPTLAB (OPTimization LABoratory) is a framework for formulating and solving OPTLAB (OPTimization LABoratory) is a framework for formulating and solving
large-scale, nonlinear constrained optimization problems in an efficient and large-scale nonlinear constrained optimization problems in an efficient and
portable manner. The default algorithm provided by OPTLAB is the method of portable manner. The default algorithm provided by OPTLAB is the method of
moving asymptotes (MMA)<a href="#1"><sup>1</sup></a>, implemented moving asymptotes (MMA)<a href="#1"><sup>1</sup></a>, implemented
using <a href="http://www.mcs.anl.gov/petsc">PETSc</a>. using <a href="http://www.mcs.anl.gov/petsc">PETSc</a>.
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formulations<a href="#2"><sup>2</sup></a>. To test OPTLAB: formulations<a href="#2"><sup>2</sup></a>. To test OPTLAB:
</p> </p>
<ol> <ol>
<li>Dowload the <a href="http://onelab.info">ONELAB software bundle</a> <li>Download the <a href="http://onelab.info">ONELAB software bundle</a>
<li>Launch the app <img src="http://geuz.org/gmsh/gallery/icon.png" height=20px> <li>Launch the app <img src="http://geuz.org/gmsh/gallery/icon.png" height=20px>
<li>Open <code>tutorials/optlab/Team25/<a href="https://gitlab.onelab.info/optlab/tutorials/blob/master/Team25/shape.py">shape.py</a></code> <li>Open <code>tutorials/optlab/Team25/<a href="https://gitlab.onelab.info/optlab/tutorials/blob/master/Team25/shape.py">shape.py</a></code>
or <code>tutorials/optlab/Lbracket/<a href="https://gitlab.onelab.info/optlab/tutorials/blob/master/Lbracket/topo.py">topo.py</a></code> or <code>tutorials/optlab/Lbracket/<a href="https://gitlab.onelab.info/optlab/tutorials/blob/master/Lbracket/topo.py">topo.py</a></code>
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