Titlebook: Deterministic Global Optimization; Theory, Methods and Christodoulos A. Floudas Book 2000 Springer Science+Business Media Dordrecht 2000 A

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https://doi.org/10.1007/978-3-319-23204-1 of the convex envelopes. Section 2.5 presents the definitions of the local, global optima and E-global optima. Finally, section 2.6 introduces the reader to the basics of difference of convex functions denoted as D.C. functions.

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https://doi.org/10.1007/978-3-642-61322-7modified-GOP approach along with computational studies for bilevel linear programming problems. Finally, section 5.4 presents the theoretical and computational studies for bilevel quadratic programming models based on the GOP principles.

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Recent Developments in Alcoholismretical properties that . satisfies. Section 11.3 introduces the .BB global optimization approach for box constrained twice-differentiable NLPs and presents its convergence proof. Section 11.4 presents the complexity analysis of the .BB approach. The material presented in this chapter is based on the work of Maranas and Floudas (1994a), (1994b).

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Basic Concepts of Global Optimization of the convex envelopes. Section 2.5 presents the definitions of the local, global optima and E-global optima. Finally, section 2.6 introduces the reader to the basics of difference of convex functions denoted as D.C. functions.

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The GOP Approach in Bilevel Linear and Quadratic Problemsmodified-GOP approach along with computational studies for bilevel linear programming problems. Finally, section 5.4 presents the theoretical and computational studies for bilevel quadratic programming models based on the GOP principles.

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