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Titlebook: Optimization and Applications; 9th International Co Yury Evtushenko,Milojica Jaćimović,Mikhail Posypki Conference proceedings 2019 Springer

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Mirror Descent and Constrained Online Optimization Problemsnon-smooth functionals are given on a closed set of .-dimensional vector space. The problem is to minimize the arithmetic mean of functionals with a convex Lipschitz-continuous non-smooth constraint. In addition, it is allowed to calculate the (sub)gradient of each functional only once. Using some r
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Improved Polynomial Time Approximation Scheme for Capacitated Vehicle Routing Problem with Time Windn operations research. In this paper, following the famous framework by M. Haimovich and A. Rinnooy Kan and technique by T. Asano et al., we propose a novel approximation scheme for the planar Euclidean CVRPTW. For any fixed ., the proposed scheme finds a .-approximate solution of CVRPTW in time .wh
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Piecewise Linear Bounding Functions for Univariate Global Optimizationn global optimization where such bounds are used by deterministic methods to reduce the search area. It should be noted that bounding functions are expected to be relatively easy to construct and manipulate with. We propose to use piecewise linear estimators for bounding univariate functions. The ru
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