An inexact smoothing method for the monotone complementarity problem over symmetric cones

被引:8
作者
Zhang, Jian [1 ]
Zhang, Kecun [1 ]
机构
[1] Xi An Jiao Tong Univ, Fac Sci, Xian 710049, Peoples R China
关键词
symmetric cone; complementarity problem; inexact smoothing method; MERIT FUNCTIONS; NEWTON METHOD; CONVERGENCE; ALGORITHM; MATRIX; P-0; COERCIVENESS; LCP;
D O I
10.1080/10556788.2010.534164
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present an inexact smoothing method for the monotone complementarity problem over symmetric cones (SCCP). Our algorithm needs only to solve one linear system of equation and perform one line search per iteration. Instead of solving the linear equation exactly, we only need an inexact solution with a certain degree of accuracy. It is shown that any accumulation point of generated sequence is a solution of SCCP. It is proved that the proposed algorithm is locally superlinearly/quadratically convergent under suitable conditions. The computational results show the feasibility and efficiency of our algorithm.
引用
收藏
页码:445 / 459
页数:15
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