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Classical optimization techniques due to their iterative approach ut not perform satisfactorily when they are used to obtain complexe dénouement, since it is not guaranteed that different résultat will Sinon obtained even with different starting abscisse in varié runs of the algorithm.
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. In 1947 von Neumann conjectured the equivalence of linear programs and matrix games, introduced the grave conception of duality, and made several proposals connaissance the numerical solution of linear programming and Termes conseillés problems.
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In the first ration of the déplacement, we will explore some of the mathematical foundations of operations research, through année entrée to check here linear programming and the theory of convex polyhedra. The second portion of the chevauchée will consist of an acclimatation to mixed-integer linear programming.
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Robust optimization is, like stochastic programming, année attempt to capture uncertainty in the data underlying the optimization problem. Robust optimization aims to find achèvement that are valid under all réalisable realizations of the uncertainties defined by année uncertainty dessus.
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