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Titlebook: Optimization; Proceedings of the 9 Van Hien Nguyen,Jean-Jacques Strodiot,Patricia Tos Conference proceedings 2000 Springer-Verlag Berlin He

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An Approximation Framework for Infinite Horizon Optimization Problems in a Mathematical Programmingques for stationary infinite horizon problems with discounted costs, in the framework of mathematical programming. A reference is given for parallel results for stochastic dynamic optimization problems.
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From Fixed Point Regularization to Constraint Decomposition in Variational Inequalities,nstraints, expressing . as the fixed point set of a suitable nonexpansive mapping and applying the above method lead to an iterative scheme in which each step is decomposed in finitely many successive or parallel projections or proximal computations.
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Conference proceedings 2000rs presented at this Conference. Originally, this Conference was a French-German Conference but this year, in accordance with the organizers‘ wishes, a third country, Belgium, has joined the founding members of the Conference. Hence the name: Belgian­ French-German Conference on Optimization. Since
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Tangential Regularity of Lipschitz Epigraphic Set-valued Mappings,ional regularity of the scalar function Δ. defined by Δ.(.) := .(y.(.)). In this paper we characterize this tangential regularity, for a new class of set-valued mappings, as the directional regularity of Δ. in a weak sense. We also show that the images of a set-valued mapping are tangentially regular whenever its graph is tangentially regular.
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Qualitative Stability of Convex Programs with Probabilistic Constraints,important class of empirical estimators, the perturbations are allowed to be arbitrary in the space of probability measures (in contrast to the convexity property of the original measure). All assumptions relate to the original problem.
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Large Scale Molecular Conformation via the Exact Distance Geometry Problem,mate distance matrix was investigated in order to compute a good starting point for the DCA. Numerical simulations of the molecular conformation problems with up to 12288 variables are reported which prove the robustness, the efficiency, and the globality of our algorithms.
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