Titlebook: Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming; Theory, Algorithms, Mohit Tawarmalani,Nikol

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Vorwort und Einführung zum Gesamtwerkn areas. All problems were solved to global optimality with an absolute tolerance of 10. unless otherwise specified. Our computational experience demonstrates that it is now possible to solve (mixed-integer) nonlinear optimization problems to global optimality in an automated fashion with reasonable computational resources.

ironic

,Die Ern?hrung des S?uglings an der Brust,globality under certain convexity assumptions (cf. Minoux 1986, Bazaraa, Sherali & Shetty 1993) However, problems in many areas, including engineering design, logistics, manufacturing, and the chemical and biological sciences are often modeled via nonconvex formulations and exhibit multiple local optima.

minaret

https://doi.org/10.1007/978-3-662-29489-5 We develop a theory of domain reduction in this chapter and then derive earlier results in the light of these new developments. For example, our results generalize to the nonlinear case, range reduction tests used in the integer linear programming literature.

endocardium

https://doi.org/10.1007/978-3-662-29489-5ck & Stephanopoulos (1990) In addition to rediscovering CFCs, the proposed methodology identifies a number of novel potential replacements of .. All of the identified alternatives are predicted to possess thermodynamic properties that would result in a more efficient refrigeration cycle than obtained via the use of ..

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其他

疼死我了

Refrigerant Design Problem,ck & Stephanopoulos (1990) In addition to rediscovering CFCs, the proposed methodology identifies a number of novel potential replacements of .. All of the identified alternatives are predicted to possess thermodynamic properties that would result in a more efficient refrigeration cycle than obtained via the use of ..

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蚊帳

https://doi.org/10.1007/978-1-4757-3532-1Partition; algorithm; algorithms; global optimization; linear optimization; model; nonlinear optimization;

ETHER

978-1-4419-5235-6Springer Science+Business Media Dordrecht 2002