Graph-theoretic concepts in computer science : 48th International Workshop, WG 2022, Tübingen, Germany, June 22-24, 2022, revised selected papers / Michael A. Bekos, Michael Kaufmann (eds.).
International Workshop WG (48th : 2022 : Tübingen, Germany); Bekos, Michael A., editor.; Kaufmann, Michael, 1959- editor.
2022
QA166
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Title Graph-theoretic concepts in computer science : 48th International Workshop, WG 2022, Tübingen, Germany, June 22-24, 2022, revised selected papers / Michael A. Bekos, Michael Kaufmann (eds.).
Meeting Name International Workshop WG (48th : 2022 : Tübingen, Germany)
ISBN 9783031159145 (electronic bk.)
3031159144 (electronic bk.)
9783031159138
3031159136
DOI https://doi.org/10.1007/978-3-031-15914-5
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource : illustrations (black and white).
Item Number 10.1007/978-3-031-15914-5 doi
Call Number QA166
Dewey Decimal Classification 511/.5
Summary This LNCS 13453 constitutes the thoroughly refereed proceedings of the 48th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2022.The 32 full papers presented in this volume were carefully reviewed and selected from a total of 96 submissions. The WG 2022 workshop aims to merge theory and practice by demonstrating how concepts from Graph Theory can be applied to various areas in Computer Science, or by extracting new graph theoretic problems from applications.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Bekos, Michael A., editor.
Kaufmann, Michael, 1959- editor.
Series Lecture notes in computer science ; 13453.
Lecture notes in computer science. Advanced research in computing and software science.
Available in Other Form Graph-theoretic concepts in computer science.
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Design and analysis of sequential, parallel, randomized, parameterized algorithms. Distributed graph and network algorithms
Structural graph theory with algorithmic or complexity applications
Computational complexity of graph and network problems
Graph grammars, graph rewriting systems and graph modeling
Graph drawing and layouts
Computational geometry
Computational biology
Graph mining
Random graphs and models of the web and scale-free networks.

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