Global Linear and Quadratic One-step Smoothing Newton Method for P0-LCP

被引:0
作者
Liping Zhang
Xiangsun Zhang
机构
[1] Northern Jiaotong University,Institute of System Sciences, School of Traffic and Transportation
[2] Institute of Applied Mathematics,Academy of Mathematics & System Sciences, Chinese Academy of Sciences
来源
Journal of Global Optimization | 2003年 / 25卷
关键词
-matrix linear complementarity problem; smoothing Newton method; global linear convergence; quadratic convergence;
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学科分类号
摘要
We propose a new smoothing Newton method for solving the P0-matrix linear complementarity problem (P0-LCP) based on CHKS smoothing function. Our algorithm solves only one linear system of equations and performs only one line search per iteration. It is shown to converge to a P0-LCP solution globally linearly and locally quadratically without the strict complementarity assumption at the solution. To the best of author's knowledge, this is the first one-step smoothing Newton method to possess both global linear and local quadratic convergence. Preliminary numerical results indicate that the proposed algorithm is promising.
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页码:363 / 376
页数:13
相关论文
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