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Titlebook: LATIN 2022: Theoretical Informatics; 15th Latin American Armando Casta?eda,Francisco Rodríguez-Henríquez Conference proceedings 2022 Sprin

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書目名稱LATIN 2022: Theoretical Informatics
副標(biāo)題15th Latin American
編輯Armando Casta?eda,Francisco Rodríguez-Henríquez
視頻videohttp://file.papertrans.cn/581/580049/580049.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: LATIN 2022: Theoretical Informatics; 15th Latin American  Armando Casta?eda,Francisco Rodríguez-Henríquez Conference proceedings 2022 Sprin
描述This book constitutes the proceedings of the 15th Latin American Symposium on Theoretical Informatics, LATIN 2022, which took place in Guanajuato, Mexico, in November 2022.?.The 46 papers presented in this volume were carefully reviewed and selected from 114 submissions. They were organized in topical sections as follows: Algorithms and Data Structures; Approximation Algorithms; Cryptography; Social Choice Theory; Theoretical Machine Learning; Automata Theory and Formal Languages; Combinatorics and Graph Theory; Complexity Theory; Computational Geometry..Chapter “Klee’s Measure Problem Made Oblivious” is available open access under a CC BY 4.0 license..
出版日期Conference proceedings 2022
關(guān)鍵詞algorithms; approximation theory; artificial intelligence; automata theory; combinatorics; complexity; com
版次1
doihttps://doi.org/10.1007/978-3-031-20624-5
isbn_softcover978-3-031-20623-8
isbn_ebook978-3-031-20624-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Guilherme C. M. Gomes,Bruno P. Masquio,Paulo E. D. Pinto,Vinicius F. dos Santos,Jayme L. Szwarcfiterers and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.?.978-1-4899-9919-1978-1-4614-1415-5
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Elastic-Degenerate String Matching with?1 Errorfor ., the existing algorithm runs in . time in the worst case. Here we make progress in this direction. We show that 1-EDSM can be solved in . or . time under edit distance. For the decision version of the problem, we present a faster .-time algorithm. Our algorithms rely on non-trivial reductions
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Weighted Connected Matchings graphs, starlike graphs, planar bipartite graphs, and subcubic planar graphs, while solvable in linear time for trees and graphs having degree at most two. When we restrict edge weights to be non-negative only, we show that the problem turns out to be polynomially solvable for chordal graphs, while
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A Parameterized Approximation Algorithm for?the?Multiple Allocation ,-Hub Centerand .. Compared to classical location problems, computing the length of a path depends on non-local decisions. This turns standard dynamic programming algorithms impractical, thus our algorithm approximates this length using only local information.
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