A QUADRATICALLY CONVERGENT O((KAPPA+1)ROOT-N L)-ITERATION ALGORITHM FOR THE P-ASTERISK(KAPPA)-MATRIX LINEAR COMPLEMENTARITY-PROBLEM

被引:49
|
作者
MIAO, JM
机构
[1] RUTCOR - Rutgers Center for Operations Research, Rutgers University, New Brunswick, 08903-5062, NJ
关键词
LINEAR COMPLEMENTARITY PROBLEM; INTERIOR-POINT ALGORITHM; QUADRATIC CONVERGENCE; POLYNOMIAL-TIME ALGORITHM;
D O I
10.1007/BF01585565
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
An interior-point predictor-corrector algorithm for the P*(kappa)-matrix linear complementarity problem is proposed. The algorithm is an extension of Mizuno-Todd-Ye's predictor-corrector algorithm for linear programming problem. The extended algorithm is quadratically convergent with iteration complexity O((kappa + 1)root nL). It is the first polynomially and quadratically convergent algorithm for a class of LCPs that are not necessarily monotone.
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页码:355 / 368
页数:14
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