An infeasible-interior-point predictor-corrector algorithm for the P*-geometric LCP

被引:0
|
作者
Anitescu, M [1 ]
Lesaja, G [1 ]
Potra, FA [1 ]
机构
[1] GEORGIA SO UNIV,DEPT MATH & COMP SCI,STATESBORO,GA 30460
来源
APPLIED MATHEMATICS AND OPTIMIZATION | 1997年 / 36卷 / 02期
关键词
P*-matrix; linear complementarity problems; predictor-corrector; infeasible-interior-point algorithm; polynomiality; quadratic convergence;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A P*-geometric linear complementarity problem (P*GP) as a generalization of the monotone geometric linear complementarity problem is introduced. In particular, it contains the monotone standard linear complementarity problem and the horizontal linear complementarity problem. Linear and quadratic programming problems can be expressed in a ''natural'' way (i.e., without any change of variables) as P*GP. It is shown that the algorithm of Mizuno et al. [6] can be extended to solve the P*GP. The extended algorithm is globally convergent and its computational complexity depends on the quality of the starting points. The algorithm is quadratically convergent for problems having a strictly complementary solution.
引用
收藏
页码:203 / 228
页数:26
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