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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications (Nonconvex Optimization and Its Applications)

Mohit Tawarmalani, Nikolaos V. Sahinidis




[PDF.oc60] Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications (Nonconvex Optimization and Its Applications)

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 | #3920050 in Books |  2002-10-31 | Original language:English | PDF # 1 |  9.21 x1.13 x6.14l,2.24 | File type: PDF | 478 pages

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Interest in constrained optimization originated with the simple linear pro­ gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly r...

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