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Titlebook: Dual-Feasible Functions for Integer Programming and Combinatorial Optimization; Basics, Extensions a Claudio Alves,Francois Clautiaux,Jurge

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發(fā)表于 2025-3-21 17:43:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Dual-Feasible Functions for Integer Programming and Combinatorial Optimization
副標(biāo)題Basics, Extensions a
編輯Claudio Alves,Francois Clautiaux,Jurgen Rietz
視頻videohttp://file.papertrans.cn/284/283302/283302.mp4
概述Explains the concept of dual-feasible functions within the general framework of duality, Dantzig-Wolfe decomposition and column generation.Details relevant extensions and applications of dual-feasible
叢書(shū)名稱(chēng)EURO Advanced Tutorials on Operational Research
圖書(shū)封面Titlebook: Dual-Feasible Functions for Integer Programming and Combinatorial Optimization; Basics, Extensions a Claudio Alves,Francois Clautiaux,Jurge
描述This book provides a postgraduate audience the keys they need to understand and further develop a set of tools for the efficient computation of lower bounds and valid inequalities in integer programs and combinatorial optimization problems. After discussing the classical approaches described in the literature, the book addresses how to extend these tools to other non-standard formulations that may be applied to a broad set of applications. Examples are provided to illustrate the underlying concepts and to pave the way for future contributions.
出版日期Textbook 2016
關(guān)鍵詞Dantzig-Wolfe decomposition; combinatorial optimization; cutting and packing problem; integer programmi
版次1
doihttps://doi.org/10.1007/978-3-319-27604-5
isbn_softcover978-3-319-80183-4
isbn_ebook978-3-319-27604-5Series ISSN 2364-687X Series E-ISSN 2364-6888
issn_series 2364-687X
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Other Applications in General Integer Programming, particular to derive valid inequalities for integer programs. Since the notion of superadditivity is essential for this purpose, we start by reviewing superadditivity in the scope of valid inequalities. Different examples are provided with alternative families of dualfeasible functions. We discuss
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Textbook 2016bounds and valid inequalities in integer programs and combinatorial optimization problems. After discussing the classical approaches described in the literature, the book addresses how to extend these tools to other non-standard formulations that may be applied to a broad set of applications. Exampl
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Other Applications in General Integer Programming,g superadditivity in the scope of valid inequalities. Different examples are provided with alternative families of dualfeasible functions. We discuss also the difference between the valid inequalities derived by dual-feasible functions and the well-known Chvátal-Gomory cuts.
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發(fā)表于 2025-3-23 03:26:49 | 只看該作者
Textbook 2016literature, the book addresses how to extend these tools to other non-standard formulations that may be applied to a broad set of applications. Examples are provided to illustrate the underlying concepts and to pave the way for future contributions.
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