An Interior-Point Method for Semidefinite Programming 论文
1996SIAM Journal on Optimization引用 704
Advanced Optimization Algorithms ResearchMatrix Theory and AlgorithmsOptimization and Variational Analysis
详细信息
- 发表期刊/会议
- SIAM Journal on Optimization
- 发表日期
- 1996-05-01
- 发表年份
- 1996
关键词
Advanced Optimization Algorithms ResearchMatrix Theory and AlgorithmsOptimization and Variational Analysis
摘要
We propose a new interior-point-based method to minimize a linear function of a matrix variable subject to linear equality and inequality constraints over the set of positive semidefinite matrices. We show that the approach is very efficient for graph bisection problems such as max–cut. Other applications include max–min eigenvalue problems and relaxations for the stable set problem.