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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 124 Over the last decade the

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Over the last decade the structure of higher education in most countries has undergone significant change brought about by social demands for expanded access

Johann Wolfgang Goethe-Universität Frankfurt am Main (Institut für Deutsche Literatur und ihre Didaktik)

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Abstract: Die Bedeutung der Beschaffung in den Unternehmen steigt angesichts des zunehmenden Kosten- und Wettbewerbsdrucks stetig

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 124 Over the last decade theThis 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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