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+# DSDP
+
+[DSDP](https://www.mcs.anl.gov/hs/software/DSDP/) 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.  The
+software can be used as a set of subroutines, through Matlab, or by reading
+and writing to data files.  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.