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 eac
An interior point method for the nonlinear complementarity problem
โ Scribed by Alfredo Noel Iusem
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 664 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0168-9274
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โฆ Synopsis
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, up to a finite search for a real parameter. Convergence of the algorithm results from its reduction to an interior point method for variational inequalities using Bregman functions, whose iterative step requires a similar finite search plus the solution of a nonlinear equation in one real variable. As an intermediate step in the reduction, we simplify the method for variational inequalities, replacing the solution of the nonlinear equation by a second finite search for another real parameter, which is finally replaced by a closed formula in the case of nonlinear complementarity problems.
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