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