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.
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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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