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Titlebook: Optimization in Science and Engineering; In Honor of the 60th Themistocles M. Rassias,Christodoulos A. Floudas,S Book 2014 Springer Science

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Computational Complexities of Optimization Problems Related to Model-Based Clustering of Networks,tion approach originally proposed by Newman and its variations. In this chapter, we review several combinatorial and algebraic methods that have been used in the literature to study the computational complexities of these optimization problems.
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Computing Area-Tight Piecewise Linear Overestimators, Underestimators and Tubes for Univariate Funca between the approximator and the function. We call such approximators area-tight. Area-tight overestimators, underestimators and tubes are of interest when solving large-scale mixed-integer non-linear programming problems (MINLPs). The function to be approximated is typically non-linear and non-co
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