We present an interior point method for the nonlinear complementarity problem which converges, whenever the problem has solutions, for any paramonotone operator (i.e., monotone and such that (F(x) -F(y), x-y) = 0 implies F(x) = F(y)). The iterative step consists of easily computable closed formulae,
An interior proximal point algorithm for nonlinear complementarity problems
โ Scribed by Abdellah Bnouhachem; Muhammad Aslam Noor
- Publisher
- Elsevier
- Year
- 2010
- Tongue
- English
- Weight
- 321 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1751-570X
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โฆ Synopsis
In this paper, we propose a new method for solving nonlinear complementarity problems (NCP), where the underlying function F is pseudomonotone and continuous. The method can be viewed as an extension of the method of Noor and Bnouhachem (2006) [13], by performing an additional projection step at each iteration and another optimal step length is employed to reach substantial progress in each iteration. We prove the global convergence of the proposed method under some suitable conditions. Some numerical results are given to illustrate the efficiency and the implementation of the new proposed method.
๐ SIMILAR VOLUMES
In this paper we propose a new large-update primal-dual interior point algorithm for P \* (ฮบ) linear complementarity problems (LCPs). We extend Bai et al.'s primal-dual interior point algorithm for linear optimization (LO) problems to P \* (ฮบ) LCPs with generalized kernel functions. New search direc