dsdp-doc binary package in Ubuntu Xenial amd64

 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 documentation and examples.

Source package