Titlebook: Mathematical Optimization Theory and Operations Research; 18th International C Michael Khachay,Yury Kochetov,Panos Pardalos Conference proc

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On Some Methods for Strongly Convex Optimization Problems with One Functional Constraints constraint. We develop the approach in [.] and propose two methods for the considered problem with adaptive stopping rules. The main idea of the methods is using the dichotomy method and solving an auxiliary one-dimensional problem at each iteration. Theoretical estimates for the proposed methods

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A Variant of the Simplex Method for Second-Order Cone Programming is a generalization on the cone programming of the standard simplex method for linear programming. At each iteration the dual variable and dual slack are defined, and the move from the given extreme point to another one is realized. Finite and infinite convergence of the method to the solution of t

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The Competitive Hub Location Under the Price War respective profits by finding the best hub and spoke networks and price structures. One company wants to establish . hubs and the other wants to establish . hubs. It is assumed that the customers choose the route by price and the logistic regression based model is used to estimate how the demand is

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Stackelberg Model and Public-Private Partnerships in the Natural Resources Sector of Russiaassic public-private partnership (PPP) model used in developed countries, whereby a private company builds an object of public property and transfers it to the government either immediately after the construction or after a certain period of operation of the object. The second model represents for t

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How the Difference in Travel Times Affects the Optima Localization for the Routing Open Shopwo machines with a transportation network consisting of two nodes only. We consider a generalization of this problem with unrelated travel times of each machine. We determine a tight optima localization interval for the two-machine problem in the case when the transportation network consists of at m