A REGULARIZED SMOOTHING NEWTON METHOD FOR SYMMETRIC CONE COMPLEMENTARITY PROBLEMS

被引:78
|
作者
Kong, Lingchen [1 ]
Sun, Jie [2 ,3 ]
Xiu, Naihua [1 ]
机构
[1] Beijing Jiaotong Univ, Dept Appl Math, Beijing 100044, Peoples R China
[2] Natl Univ Singapore, Dept Decis Sci, Singapore, Singapore
[3] Natl Univ Singapore, Singapore MIT Alliance, Singapore, Singapore
基金
中国国家自然科学基金;
关键词
symmetric cone complementarity problem; monotonicity; natural residual function; regularized smoothing method; quadratic convergence;
D O I
10.1137/060676775
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper extends the regularized smoothing Newton method in vector complementarity problems to symmetric cone complementarity problems (SCCP), which includes the nonlinear complementarity problem, the second-order cone complementarity problem, and the semidefinite complementarity problem as special cases. In particular, we study strong semismoothness and Jacobian nonsingularity of the total natural residual function for SCCP. We also derive the uniform approximation property and the Jacobian consistency of the Chen-Mangasarian smoothing function of the natural residual. Based on these properties, global and quadratical convergence of the proposed algorithm is established.
引用
收藏
页码:1028 / 1047
页数:20
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