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A family of new smoothing functions and a nonmonotone smoothing Newton method for the nonlinear complementarity problems.

Authors :
Zhu, Jianguang
Liu, Hongwei
Liu, Changhe
Source :
Journal of Applied Mathematics & Computing; Sep2011, Vol. 37 Issue 1/2, p647-662, 16p
Publication Year :
2011

Abstract

In this paper, based on a p-norm with p being any fixed real number in the interval (1,+∞), we introduce a family of new smoothing functions, which include the smoothing symmetric perturbed Fischer function as a special case. We also show that the functions have several favorable properties. Based on the new smoothing functions, we propose a nonmonotone smoothing Newton algorithm for solving nonlinear complementarity problems. The proposed algorithm only need to solve one linear system of equations. We show that the proposed algorithm is globally and locally superlinearly convergent under suitable assumptions. Numerical experiments indicate that the method associated with a smaller p, for example p=1.1, usually has better numerical performance than the smoothing symmetric perturbed Fischer function, which exactly corresponds to p=2. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15985865
Volume :
37
Issue :
1/2
Database :
Complementary Index
Journal :
Journal of Applied Mathematics & Computing
Publication Type :
Academic Journal
Accession number :
65102073
Full Text :
https://doi.org/10.1007/s12190-010-0457-9