A regularized smoothing-type algorithm for solving a system of inequalities with a P0-function

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摘要

The system of nonlinear inequalities is studied in this paper. By using the Chen–Harker–Kanzow–Smale smoothing function, the problem is approximated by a family of parameterized smooth equations. A regularized smoothing Newton algorithm is proposed to solve the smooth equations. We prove that the proposed algorithm converges globally and superlinearly under mild conditions. Furthermore, the algorithm has local quadratic convergence under suitable conditions. Preliminary numerical experiments are reported to show the efficiency of the algorithm.

论文关键词:90C33,65K05,System of inequalities,Regularized smoothing Newton algorithm,Global and superlinear convergence,Local quadratic convergence

论文评审过程:Received 19 August 2009, Revised 3 November 2009, Available online 12 November 2009.

论文官网地址:https://doi.org/10.1016/j.cam.2009.11.007