On complexity of the translational-cut algorithm for convex minimax problems

被引:1
作者
Ariyawansa, KA [1 ]
Jiang, PL
机构
[1] Washington State Univ, Dept Pure & Appl Math, Pullman, WA 99164 USA
[2] Delta Dent Plan Minnesota, Profess Serv, Eagan, MN USA
基金
美国国家科学基金会;
关键词
complexity; minimax optimization; global Newton method; interior-point methods; analytic centers;
D O I
10.1023/A:1026422013954
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Burke, Goldstein, Tseng, and Ye (Ref. 1) have presented an interesting interior-paint algorithm for a class of smooth convex minimax problems. They have also presented a complexity analysis leading to a worst-case bound;on the total work necessary to obtain a solution within a prescribed tolerance. In this paper, we present refinements to the analysis of Burke et al. which show that the resulting complexity bound can be worse than those for other algorithms available at the time Ref. 1 was published.
引用
收藏
页码:223 / 243
页数:21
相关论文
共 14 条