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Titlebook: Combinatorial Algorithms; 31st International W Leszek Gąsieniec,Ralf Klasing,Tomasz Radzik Conference proceedings 2020 Springer Nature Swit

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书目名称Combinatorial Algorithms
副标题31st International W
编辑Leszek Gąsieniec,Ralf Klasing,Tomasz Radzik
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Algorithms; 31st International W Leszek Gąsieniec,Ralf Klasing,Tomasz Radzik Conference proceedings 2020 Springer Nature Swit
描述This book constitutes the proceedings of the 31st International Workshop on Combinatorial Algorithms which was planned to take place in Bordeaux, France, during June 8–10, 2020. Due to the COVID-19 pandemic the conference changed to a virtual format. .The 30 full papers included in this book were carefully reviewed and selected from 62 submissions. They focus on algorithms design for the myriad of combinatorial problems that underlie computer applications in science, engineering and business..
出版日期Conference proceedings 2020
关键词approximation algorithms; approximation theory; artificial intelligence; bipartite graphs; algorithms an
版次1
doihttps://doi.org/10.1007/978-3-030-48966-3
isbn_softcover978-3-030-48965-6
isbn_ebook978-3-030-48966-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Nonexistence Certificates for Ovals in a Projective Plane of Order Tens do not exist. However, no nonexistence certificates were produced by this search, and to the best of our knowledge the search has never been independently verified. In this paper, we rerun the search for ovals in a projective plane of order ten and produce a collection of nonexistence certificates
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Edge-Disjoint Branchings in Temporal Graphsction on .(.) that tells for each . when . and . are linked. Given a static digraph ., and a subset ., a spanning branching with root . is a subdigraph of . that has exactly one path from . to each .. In this paper, we consider the temporal version of Edmonds’ classical result about the problem of f
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Optimal In-place Algorithms for Basic Graph Problemsadth-first search, maximum cardinality search), connectivity problems (like biconnectivity, 2-edge connectivity), decomposition problem (like chain decomposition) among various others, improving the running time (by polynomial multiplicative factor) of the recent results of Chakraborty et al. [ESA,
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