期刊
SIAM JOURNAL ON SCIENTIFIC COMPUTING
卷 31, 期 3, 页码 1628-1652出版社
SIAM PUBLICATIONS
DOI: 10.1137/070707828
关键词
spectral projected gradients; inexact restoration; nonlinear programming; hard-spheres problems
资金
- PRONEX-Optimization (PRONEX - CNPq/FAPERJ ) [E-26/171.164/2003 - APQ1]
- FAPESP [01/04597-4, 06/53768-0]
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.
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