StackOverflow2013

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16553876
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2013-05-14T22:27:37.900
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2014-03-03T18:13:06.827
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2014-03-03T18:13:06.827
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text
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<a href="http://en.wikipedia.org/wiki/Integer_programming" rel="nofollow">Mixed integer programming</a> is the task to optimize a linear functional over a polyhedron, where some or all variables are constrained to be integer. The SCIP Optimization suite offers a <a href="http://en.wikipedia.org/wiki/Branch_and_cut" rel="nofollow">branch-and-cut</a> implementation, and a standalone implementation of the <a href="http://en.wikipedia.org/wiki/Simplex_algorithm" rel="nofollow">Simplex algorithm</a>, called <a href="http://soplex.zib.de" rel="nofollow">SoPlex</a>, to solve <a href="http://en.wikipedia.org/wiki/Linear_programming" rel="nofollow">linear programming problems</a>. Furthermore, <a href="http://scip.zib.de" rel="nofollow">SCIP</a> comes with a modelling language ZIMPL that aims to ease the task of formulating mixed integer programming problems, a parallel solver called <a href="http://ug.zib.de" rel="nofollow">UG</a>, and an implementation of the <a href="http://en.wikipedia.org/wiki/Branch_and_price" rel="nofollow">branch-and-cut-and-price algorithm</a> called <a href="http://www.or.rwth-aachen.de/gcg/" rel="nofollow">GCG</a>. <a href="http://scip.zib.de/#scipoptsuite" rel="nofollow">The SCIP Optimization</a> suite is one of the fastest implementations whose source code is available. It is written in C, but also offers a C++ interface. SCIP is free for academic research and can be <a href="http://soplex.zib.de/#license" rel="nofollow">licensed</a> for commercial use.
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