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<p>Dear SCIP users,<br>
<br>
We are happy to announce the release of the <a
href="https://scip.zib.de/#download">SCIP Optimization Suite 7.0</a>.<br>
It consists of SCIP 7.0, SoPlex 5.0, ZIMPL 3.3.9, UG 0.8.9, GCG
3.0.3, and<br>
PaPILO 1.0. Additionally, <a
href="http://www.opt.tu-darmstadt.de/scipsdp/">SCIP-SDP 3.2</a>
has been released.<br>
<br>
New features of the SCIP Optimization Suite 7.0 include<br>
<br>
- the first release of PaPILO, a Parallel Presolve Library for
Integer Linear Optimization,<br>
- tree size estimation methods to predict the search progress and
trigger restarts,<br>
- the extension of SCIP’s Benders’ decomposition to handle convex
MINLP subproblems,<br>
- a data structure to store decomposition information, used in
primal heuristics and<br>
Benders' decomposition,<br>
- a revision of SCIP’s symmetry handling methods allowing the
combination of<br>
polyhedral methods with orbital fixing,<br>
<br>
and many further improvements and additions, resulting in
significant<br>
speedups for both MIP and MINLP.<br>
<br>
For more information check out our website <a
class="moz-txt-link-freetext" href="https://scip.zib.de">http://scip.zib.de</a>,
the<br>
<a href="https://scip.zib.de/doc-7.0.0/html/RN70.php">Release
Notes</a>, and the accompanying release report with an in-depth<br>
description of the enhancements, which is available at
Optimization Online:<br>
<a class="moz-txt-link-freetext"
href="http://www.optimization-online.org/DB_HTML/2020/03/7705.html">http://www.optimization-online.org/DB_HTML/2020/03/7705.html</a><br>
<br>
Best regards,<br>
the SCIP team and friends</p>
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