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 Programmingthe sequential solution of certain optimality equations. However, many problems cannot be handled this way, due to complex constraints, a continuous state space, and other complicating factors. When recast as mathematical programs relying on the powerful tools of optimization, especially duality, an

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Proximal Methods: Decomposition and Selection,forward-backward splitting iteration is applied to a sequence of approximating operators .., .. converging to . and .. We prove that when these approximating operators converge sufficiently slowly the sequence generated by the method strongly converges towards a particular solution of the given prob

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Optimization of Plastic Stepped Plates Subjected to Impulsive Loading,be piecewise constant. Both, ideal homogeneous and fiber reinforced materials are considered. Necessary optimality conditions are established with the aid of variational methods of the theory of optimal control whereas the method of mode form motions is used. Numerical results are presented for an a

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From Fixed Point Regularization to Constraint Decomposition in Variational Inequalities,y of fixed points .. of strongly nonexpansive self mappings .. on . with positive parameter . tending to 0. If the fixed point set . of . is nonempty, then .. converges strongly to .. the unique solution to some monotone variational inequality on the (closed convex) subset .. The iteration method su

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Large Scale Molecular Conformation via the Exact Distance Geometry Problem,ance geometry problem. Requiring only matrix-vector products and one Cholesky factorization, the DCA seems to be robust and efficient in large scale problems. Moreover it allows exploiting sparsity of the given distance matrix. A technique using the triangle inequality to generate a complete approxi

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Adaptive Scaling and Convergence Rates of a Separable Augmented Lagrangian Algorithm,orithm in the convex case, uses a dual sequence which convergence is associated with the inverse of the primal penalty parameter. As a consequence, an optimal value for that parameter, which is thus more like a scaling parameter than like a penalty one, is expected, confirming former theoretical res

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rechts, geeignet für Wissenschaft und Praxis.Analyse der bisDas Buch befasst sich mit den Vorgaben des internationalen Wasserrechts für Abkommen zwischen Anrainerstaaten über die Nutzung und Bewirtschaftung gemeinsamer Wasserl?ufe. Der aktuelle Stand des internationalen Wassergewohnheitsrechts wird

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