| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4631831 | Applied Mathematics and Computation | 2010 | 8 Pages |
Abstract
In this paper, a nonmonotone trust region algorithm for unconstrained optimization problems is presented. In the algorithm, a kind of nonmonotone technique, which is evidently different from Grippo, Lampariello and Lucidi’s approach, is used. Under mild conditions, global and local convergence results of the algorithm are established. Preliminary numerical results show that the new algorithm is efficient.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Wu Qing-jun,