DSDP5 user guide - software for semidefinite programming.

TL;DRAbstract

DSDP implements the dual-scaling algorithm for semidefinite programming. The source code of this interior-point solver, written entirely in ANSI C, is freely available. The solver can be used as a subroutine library, as a function within the Matlab environment, or as an executable that reads and writes to files. Initiated in 1997, DSDP has developed into an efficient and robust general-purpose solver for semidefinite programming. Although the solver is written with semidefinite programming in mind, it can also be used for linear programming and other constraint cones. The features of DSDP include the following: a robust algorithm with a convergence proof and polynomially bounded complexity under mild assumptions on the data, primal and dual solutions, feasible solutions when they exist or approximate certificates of infeasibility, initial points that can be feasible or infeasible, relatively low memory requirements for an interior-point method, sparse and low-rank data structures, exte

Chat with Paper

AI Agents for this Paper