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A MULTIPLICATIVE SCHWARZ ALGORITHM FOR THE NONLINEAR COMPLEMENTARITY PROBLEM WITH AN M-FUNCTION

Published online by Cambridge University Press:  26 August 2010

YINGJUN JIANG  and
JINPING ZENG
YINGJUN JIANG
Affiliation:
Department of Mathematics and Science Computing, Changsha University of Science and Technology, Changsha, 410004, PR China (email: [email protected])
JINPING ZENG*
Affiliation:
College of Computer Science, Dongguan University of Technology, Dongguan, 523005, PR China (email: [email protected])
*
✉For correspondence; e-mail: [email protected]
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Abstract

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A multiplicative Schwarz iteration algorithm is presented for solving the finite-dimensional nonlinear complementarity problem with an M-function. The monotone convergence of the iteration algorithm is obtained with special choices of initial values. Moreover, by applying the concept of weak regular splitting, the weighted max-norm bound is derived for the iteration errors.

Keywords

multiplicative Schwarz algorithmM-functionnonlinear complementarity problemmonotone convergenceweighted max-norm

MSC classification

Secondary: 90C33: Complementarity and equilibrium problems and variational inequalities (finite dimensions)
Type
Research Article
Information
Bulletin of the Australian Mathematical Society , Volume 82 , Issue 3 , December 2010 , pp. 353 - 366
Copyright
Copyright © Australian Mathematical Publishing Association Inc. 2010

Footnotes

This work is supported by the National Natural Science Foundation of China (Grants 10901027, 10971058).

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