JOURNAL ARTICLE

Smoothing inexact Newton methods for NCP with various nonmonotone techniques

Sanja RapajićZoltán Pap

Year: 2013 Journal:   PAMM Vol: 13 (1)Pages: 385-386   Publisher: Wiley

Abstract

Abstract Various iterative methods for solving nonlinear complementarity problems (NCP) are developed in recent years. In this paper we propose Jacobian smoothing inexact Newton methods for NCP with different nonmonotone strategies. The methods are based on semismooth equation reformulation of NCP by Fischer‐Burmeister function. Nonmonotone line‐search techniques are used for globalization procedure. Numerical performance of algorithms are compared. (© 2013 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Keywords:
Smoothing Line search Jacobian matrix and determinant Nonlinear complementarity problem Mathematical optimization Newton's method Mixed complementarity problem Complementarity (molecular biology) Nonlinear system Quasi-Newton method Computer science Applied mathematics Mathematics

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Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Iterative Methods for Nonlinear Equations
Physical Sciences →  Mathematics →  Numerical Analysis
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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