Titlebook: Business Optimization Using Mathematical Programming; An Introduction with Josef Kallrath Textbook 2021Latest edition Springer Nature Switz

思想流動

Lecture Notes in Computer ScienceIn this chapter a number of standard ILP problems will be formulated. As in Chap. ., we shall look at some straightforward problems that are easy to formulate and then consider harder ILP problems. For many of the problem types a case study is provided, and for some of these, a model relating to the case is supplied in MCOL.

箴言

Dinggang Shen,Tianming Liu,Ali KhanGlobal optimization techniques, cf. Horst & Pardalos (1995), Floudas (2000), Floudas & Gounaris (2009), or Misener & Floudas (2012), are suitable for solving non-convex NLP or MINLP problems. When in this book we refer to global optimization, we mean ., where a globally optimal objective function value can be computed up to a given .?>?0.

枯萎將要

Lecture Notes in Computer ScienceIn this chapter many issues are touched upon which are part of more general operational research concerns, particularly when these are amplified by using mathematical programming. It includes a discussion of the possibilities of parallel optimization.

規(guī)范就好

Zhiyuan Liu,Huai Chen,Huafeng LiuIn this chapter, we provide reflections on the material presented in this book. The chapter ends with the authors’ view of future developments and suggests some conclusions.

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Torrid

Physiatrist

intimate

Global Optimization in Practice,Global optimization techniques, cf. Horst & Pardalos (1995), Floudas (2000), Floudas & Gounaris (2009), or Misener & Floudas (2012), are suitable for solving non-convex NLP or MINLP problems. When in this book we refer to global optimization, we mean ., where a globally optimal objective function value can be computed up to a given .?>?0.

auxiliary

The Impact and Implications of Optimization,In this chapter many issues are touched upon which are part of more general operational research concerns, particularly when these are amplified by using mathematical programming. It includes a discussion of the possibilities of parallel optimization.

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