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Titlebook: Integer Programming and Combinatorial Optimization; 18th International C Quentin Louveaux,Martin Skutella Conference proceedings 2016 Sprin

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书目名称Integer Programming and Combinatorial Optimization
副标题18th International C
编辑Quentin Louveaux,Martin Skutella
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integer Programming and Combinatorial Optimization; 18th International C Quentin Louveaux,Martin Skutella Conference proceedings 2016 Sprin
描述.This book constitutes therefereed proceedings of the 18th International Conference on IntegerProgramming and Combinatorial Optimization, IPCO 2016, held in Liège, Belgium,in June 2016. The 33 full papers presented were carefully reviewed and selectedfrom 125 submissions. The conference is a forum for researchers andpractitioners working on various aspects of integer programming andcombinatorial optimization. The aim is to present recent developments intheory, computation, and applications in these areas. The scope of IPCO isviewed in a broad sense, to include algorithmic and structural results ininteger programming and combinatorial optimization as well as revealingcomputational studies and novel applications of discrete optimization topractical problems..
出版日期Conference proceedings 2016
关键词Approximation algorithms; Combinatorial optimization; Computational complexity; Integer programming; Lin
版次1
doihttps://doi.org/10.1007/978-3-319-33461-5
isbn_softcover978-3-319-33460-8
isbn_ebook978-3-319-33461-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
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Centerpoints: A Link Between Optimization and Convex Geometry,x mixed-integer optimization based on centerpoints. Further, we show that algorithms based on centerpoints are “best possible” in a certain sense. Motivated by this, we establish several structural results about this concept and provide efficient algorithms for computing these points.
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,Sparsest Cut in Planar Graphs, Maximum Concurrent Flows and Their Connections with the Max-Cut Probdge for each positive capacity and also an edge for each positive demand. We extend this result to graphs with no . minor. We also show how to find a maximum concurrent flow in these two cases. We use ideas that had been developed for the max-cut problem, and show how to exploit the connections among these problems.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468246.jpg
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978-3-319-33460-8Springer International Publishing Switzerland 2016
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Integer Programming and Combinatorial Optimization978-3-319-33461-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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