A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems Judith Riley befindet sich der ältere in
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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems Judith Riley befindet sich der ältere inThis book deals with the theory and applications of the Reformulation Linearization Convexification Technique (RL T) for solving nonconvex optimization problems. A unified treatment of discrete and continuous nonconvex programming problems is presented using this approach. In essence, the bridge between these two types of nonconvexities is made via a polynomial representation of discrete constraints. For example, the binariness on a 0 1 variable x .
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