| Full text | |
| Author(s): |
Total Authors: 3
|
| Affiliation: | [1] Univ Estadual Campinas, Dept Appl Math, BR-13083970 Campinas, SP - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | SIAM JOURNAL ON SCIENTIFIC COMPUTING; v. 31, n. 3, p. 1628-1652, 2009. |
| Web of Science Citations: | 16 |
| Abstract | |
This work takes advantage of the spectral projected gradient direction within the inexact restoration framework to address nonlinear optimization problems with nonconvex constraints. The proposed strategy includes a convenient handling of the constraints, together with nonmonotonic features to speed up convergence. The numerical performance is assessed by experiments with hard-spheres problems, pointing out that the inexact restoration framework provides an adequate environment for the extension of the spectral projected gradient method for general nonlinearly constrained optimization. (AU) | |
| FAPESP's process: | 06/53768-0 - Computational methods of optimization |
| Grantee: | José Mário Martinez Perez |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 01/04597-4 - Computational Methods in Optimization |
| Grantee: | José Mário Martinez Perez |
| Support Opportunities: | Research Projects - Thematic Grants |