Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4636320 | Applied Mathematics and Computation | 2007 | 14 Pages |
Abstract
Recently, filter methods are extensively studied to handle nonlinear programming problems. Because of good numerical results, filter techniques are attached importance to. In this paper, filter approaches are employed to tackle nonlinear complementarity problems. Furthermore, a new filter algorithm is brought forward. Under a proper condition, local Q-superlinear and Q-quadratic convergence of the algorithm is established.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Jun Long, Changfeng Ma, Puyan Nie,