软件包：dsdp（5.8-10.1）

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 binaries.

标签: 软件开发: 函数库, 领域: 数学, 实做语言: implemented-in::c++, role::devel-lib, 角色: 程序, 共用函数库, 范围: 实用程序

本页其他语言版本如下（如何设置默认文档语言）：