Regularization Semismooth Newton Method for P-NCPs with Non-monotone Line Search

被引：0
|
作者：
王萍 [1 ]
臧玉卫 [2 ]
张颖 [1 ]
机构：
[1] 不详
[2] School of Sciences,Tianjin University
[3] 不详
[4] Tianjin University Beiyang Science and Technology Development Co Ltd
[5] 不详
来源：
Transactions of Tianjin University | 2010年 / 02期
关键词：
D O I：
暂无
中图分类号：
O224 [最优化的数学理论];
学科分类号：
摘要：
Based on the generalized Fischer-Burmeister function, Chen et al in 2008 put forward a regularization semismooth Newton method for solving the nonlinear complementarity problem with a P0-function. In this paper, we investigate the above algorithm with the monotone line search replaced by a non-monotone line search. It is shown that the non-monotone algorithm is well-defined, and is globally and locally superlinearly convergent under standard assumptions.
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页码：138 / 141
页数：4
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