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Titlebook: Combinatorial Optimization and Applications; 4th International Co Weili Wu,Ovidiu Daescu Conference proceedings 2010 Springer Berlin Heidel

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发表于 2025-3-21 16:09:49 | 显示全部楼层 |阅读模式
书目名称Combinatorial Optimization and Applications
副标题4th International Co
编辑Weili Wu,Ovidiu Daescu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Optimization and Applications; 4th International Co Weili Wu,Ovidiu Daescu Conference proceedings 2010 Springer Berlin Heidel
描述The 4th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2010) took place in Big Island, Hawaii, USA, December 18–20, 2010. Past COCOA conferences were held in Xi’an, China (2007), Newfoundland, Canada (2008)and Huangshan, China (2009). COCOA2010providedaforumforresearchersworkingintheareasofcom- natorial optimization and its applications. In addition to theoretical results, the conference also included recent works on experimental and applied research of general algorithmic interest. The Program Committee received 108 submissions from more than 23 countries and regions, including Australia, Austria, Canada, China, Denmark, France, Germany, Hong Kong, India, Italy, Japan, Korea, Mexico, New Zealand, Poland, Slovak Republic, Spain, Sweden, Switzerland, Taiwan, UK, USA, Vietnam, etc. Among the 108 submissions, 49 regular papers were selected for presentation at the conference and are included in this volume. Some of these papers will be selected for publication in a special issue of the Journal of Combinatorial Optimization, a special issue of Theoretical Computer Science, a special issue of Optimization Letters, and a special issue of Discrete Ma
出版日期Conference proceedings 2010
关键词Processing; Scheduling; algorithms; approximation algorithms; bioinformatics; cloud computing; combinatori
版次1
doihttps://doi.org/10.1007/978-3-642-17458-2
isbn_softcover978-3-642-17457-5
isbn_ebook978-3-642-17458-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2010
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A Characterisation of Stable Sets in Games with Transitive Preference,This article characterises stable sets in an abstract game. We show that every stable subset of the pure strategies for the game is characterised as a fixed point of the mapping assigning to each upper boundedly preordered subset of the strategies the set of all its maximal elements.
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A Fast Algorithm for Powerful Alliances in Trees, vertex . at least half of the total weight in the closed neighborhood of . is contributed by the vertices of .. Finding the smallest such set in general graphs is NP-complete, even when the weights are all the same. In this paper, we give a linear time algorithm that finds the smallest global powerful alliance of any weighted tree . = (.,.).
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Linear Coherent Bi-cluster Discovery via Beam Detection and Sample Set Clustering, for identifying conditionally correlated genes, combined with an efficient density based search for clustering sample sets. Experimental results on both synthetic and real datasets demonstrated that LinCoh consistently finds more accurate and higher quality bi-clusters than existing bi-clustering algorithms.
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Cyclic Vertex Connectivity of Star Graphs,es. The cardinality of a minimum cyclic vertex-cut of ., denoted by ..(.), is the cyclic vertex-connectivity of .. In this paper, we show that for any integer . ≥ 4, the .-dimensional star graph .. has ..(..) = 6(. − 3).
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The Number of Shortest Paths in the (,, ,)-Star Graphs,of . in terms of the transpositions corresponding to edges in that graph. This result generalizes a previous one for the star graph, and can be applied to obtain the number of the shortest paths between a pair of vertices in some of the other similar structures. It also implies an algorithm to enumerate all such paths.
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Marc Joye,David Naccache,Stéphanie Porte vertex . at least half of the total weight in the closed neighborhood of . is contributed by the vertices of .. Finding the smallest such set in general graphs is NP-complete, even when the weights are all the same. In this paper, we give a linear time algorithm that finds the smallest global powerful alliance of any weighted tree . = (.,.).
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