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The quadratic convergence of a smoothing Levenberg–Marquardt method for nonlinear complementarity problem

Authors :
Ma, Changfeng
Tang, Jia
Source :
Applied Mathematics & Computation. Apr2008, Vol. 197 Issue 2, p566-581. 16p.
Publication Year :
2008

Abstract

Abstract: The nonlinear complementarity problem (denoted by NCP(F)) can be reformulated as the solution of a possibly inconsistent nonsmooth system of equations. Based on the ideas developed in smoothing Newton methods, we approximated the problem of the least l 2-norm solution of the equivalent nonsmooth equations of NCP(F) with a family of parameterized optimization problem with twice continuously differentiable objective functions by making use of a new smoothing function. Then we presented a smoothing Levenberg–Marquardt method to solve the parameterized smooth optimization problem. By using the smooth and semismooth technique, the local quadratic convergence of the proposed method is proved under some suitable assumptions. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00963003
Volume :
197
Issue :
2
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
30607852
Full Text :
https://doi.org/10.1016/j.amc.2007.07.060