| Article ID: | iaor20114173 |
| Volume: | 50 |
| Issue: | 1 |
| Start Page Number: | 3 |
| End Page Number: | 22 |
| Publication Date: | May 2011 |
| Journal: | Journal of Global Optimization |
| Authors: | Bagirov M, Ugon J |
| Keywords: | heuristics: local search |
In this paper, a new algorithm to locally minimize nonsmooth functions represented as a difference of two convex functions (DC functions) is proposed. The algorithm is based on the concept of codifferential. It is assumed that DC decomposition of the objective function is known a priori. We develop an algorithm to compute descent directions using a few elements from codifferential. The convergence of the minimization algorithm is studied and its comparison with different versions of the bundle methods using results of numerical experiments is given.