4.7 Review

Copositive optimization - Recent developments and applications

期刊

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 216, 期 3, 页码 509-520

出版社

ELSEVIER
DOI: 10.1016/j.ejor.2011.04.026

关键词

Clique number; Completely positive matrix; Convexity gap; Crossing number; Robust optimization; Standard quadratic optimization

向作者/读者索取更多资源

Due to its versatility, copositive optimization receives increasing interest in the Operational Research community, and is a rapidly expanding and fertile field of research. It is a special case of conic optimization, which consists of minimizing a linear function over a cone subject to linear constraints. The diversity of copositive formulations in different domains of optimization is impressive, since problem classes both in the continuous and discrete world, as well as both deterministic and stochastic models are covered. Copositivity appears in local and global optimality conditions for quadratic optimization, but can also yield tighter bounds for NP-hard combinatorial optimization problems. Here some of the recent success stories are told, along with principles, algorithms and applications. (C) 2011 Published by Elsevier B.V.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据