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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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書目名稱Combinatorial Optimization and Applications
副標題4th International Co
編輯Weili Wu,Ovidiu Daescu
視頻videohttp://file.papertrans.cn/230/229969/229969.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面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
關(guān)鍵詞Blu-ray; algorithms; approximation algorithms; bioinformatics; cloud computing; combinatorial optimizatio
版次1
doihttps://doi.org/10.1007/978-3-642-17461-2
isbn_softcover978-3-642-17460-5
isbn_ebook978-3-642-17461-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2010
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Bounds for Nonadaptive Group Tests to Estimate the Amount of Defectives,. In this paper we prove that Ω(log.) tests are really needed. The proof is based on an analysis of the influence of tests on the searcher’s ability to distinguish between any two candidate numbers with a constant ratio. Once we know this lower bound, the next challenge is to get optimal constant fa
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An Improved Approximation Algorithm for Spanning Star Forest in Dense Graphs,n .-dense graphs within a factor of 1???. is .-hard. We then demonstrate that for weighted versions (both node- and edge- weighted) of this problem, we cannot get . approximation algorithm with strictly better performance guarantee in .-dense graphs than that of the best possible approximation algor
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Fast Edge-Searching and Related Problems,problem of computing node search numbers to the problem of computing fast edge-search time or fast search numbers. Using these relations, we prove that the problem of deciding, given a graph . and an integer ., whether the fast (edge-)search number of . is less than or equal to . is NP-complete; and
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