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Software for Semidefinite Programming

The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. It allows feasible and infeasible starting points and provides approximate certificates of infeasibility when no feasible solution exists. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data. Furthermore, the solver offers scalable parallel performance for large problems and a well documented interface. Some of the most popular applications of semidefinite programming and linear matrix inequalities (LMI) are model control, truss topology design, and semidefinite relaxations of combinatorial and global optimization problems.

This package contains the library files.

Package version:5.8-9.1


dsdp (5.8-9.1) unstable; urgency=low

  * Non-maintainer upload.
  * debian/rules: Separate build-arch and build-indep targets so that
    directly invoking binary-arch behaves as expected.  Closes: #666310.

 -- Matej Vela <>  Sun, 27 May 2012 21:01:56 +0100

dsdp (5.8-9) unstable; urgency=low

  * Bump Standards Version to 3.9.2 (no changes required).
  * Switch to dpkg-source 3.0


This package was debianized by Soeren Sonnenburg <> on
Wed, 01 Aug 2007 22:58:57 +0200.

It was downloaded from <>

Upstream Authors: 

    Steven J. Benson <>
    Mathematics and Computer Science Division
    Argonne National Laboratory
    Argonne IL 60439

    Yinyu Ye <>
    Department of Management Science 

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