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- W2040777774 startingPage "1628" @default.
- W2040777774 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." @default.
- W2040777774 created "2016-06-24" @default.
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- W2040777774 date "2009-01-01" @default.
- W2040777774 modified "2023-10-18" @default.
- W2040777774 title "Spectral Projected Gradient Method with Inexact Restoration for Minimization with Nonconvex Constraints" @default.
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- W2040777774 doi "https://doi.org/10.1137/070707828" @default.
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