Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4641175 | Journal of Computational and Applied Mathematics | 2009 | 16 Pages |
Abstract
This paper discusses nonlinear complementarity problems; its goal is to present a globally and superlinearly convergent algorithm for the discussed problems. Filter methods are extensively studied to handle nonlinear complementarity problem. Because of good numerical results, filter techniques are attached. By means of a filter strategy, we present a new trust region method based on a conic model for nonlinear complementarity problems. Under a proper condition, the superlinear convergence of the algorithm is established without the strict complementarity condition.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ying Zhou,