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Titlebook: Distributed Graph Coloring; Fundamentals and Rec Leonid Barenboim,Michael Elkin Book 2013 Springer Nature Switzerland AG 2013

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书目名称Distributed Graph Coloring
副标题Fundamentals and Rec
编辑Leonid Barenboim,Michael Elkin
视频video
丛书名称Synthesis Lectures on Distributed Computing Theory
图书封面Titlebook: Distributed Graph Coloring; Fundamentals and Rec Leonid Barenboim,Michael Elkin Book 2013 Springer Nature Switzerland AG 2013
描述The focus of this monograph is on symmetry breaking problems in the message-passing model of distributed computing. In this model a communication network is represented by a n-vertex graph G = (V,E), whose vertices host autonomous processors. The processors communicate over the edges of G in discrete rounds. The goal is to devise algorithms that use as few rounds as possible. A typical symmetry-breaking problem is the problem of graph coloring. Denote by ? the maximum degree of G. While coloring G with ? + 1 colors is trivial in the centralized setting, the problem becomes much more challenging in the distributed one. One can also compromise on the number of colors, if this allows for more efficient algorithms. Other typical symmetry-breaking problems are the problems of computing a maximal independent set (MIS) and a maximal matching (MM). The study of these problems dates back to the very early days of distributed computing. The founding fathers of distributed computing laid firm foundations for the area of distributed symmetry breaking already in the eighties. In particular, they showed that all these problems can be solved in randomized logarithmic time. Also, Linial showed tha
出版日期Book 2013
版次1
doihttps://doi.org/10.1007/978-3-031-02009-4
isbn_softcover978-3-031-00881-8
isbn_ebook978-3-031-02009-4Series ISSN 2155-1626 Series E-ISSN 2155-1634
issn_series 2155-1626
copyrightSpringer Nature Switzerland AG 2013
The information of publication is updating

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书目名称Distributed Graph Coloring读者反馈学科排名




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Edge-Coloring and Maximal Matching,s, which, in turn, gives rise to efficient edge–coloring algorithms on . These algorithms are the subject of the current chapter. Le algorithms in Section 8.1 are due to Panconesi and Rizzi [68]. Le algorithms in Section 8.2 are from [10].
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Introduction to Distributed Randomized Algorithms,degree of the input graph is very small). However, randomized algorithms have the drawback that with some (very small) probability over the coin tosses of the algorithms they may fail or not terminate within the expected time.
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2155-1626 metry breaking already in the eighties. In particular, they showed that all these problems can be solved in randomized logarithmic time. Also, Linial showed tha978-3-031-00881-8978-3-031-02009-4Series ISSN 2155-1626 Series E-ISSN 2155-1634
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