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Graph-Theoretic Concepts in Computer Science : 48th International Workshop, WG 2022, Tübingen, Germany, June 22–24, 2022, Revised Selected Papers / edited by Michael A. Bekos, Michael Kaufmann.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Bekos, Michael A., editor.
Kaufmann, Michael, editor.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 13453
Language:
English
Subjects (All):
Computer science--Mathematics.
Computer science.
Discrete mathematics.
Data structures (Computer science).
Information theory.
Algorithms.
Computer graphics.
Numerical analysis.
Discrete Mathematics in Computer Science.
Data Structures and Information Theory.
Design and Analysis of Algorithms.
Computer Graphics.
Numerical Analysis.
Symbolic and Algebraic Manipulation.
Local Subjects:
Discrete Mathematics in Computer Science.
Data Structures and Information Theory.
Design and Analysis of Algorithms.
Computer Graphics.
Numerical Analysis.
Symbolic and Algebraic Manipulation.
Physical Description:
1 online resource (469 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
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.
Contents:
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.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Bekos, Michael A. Graph-Theoretic Concepts in Computer Science
ISBN:
9783031159145
3031159144
OCLC:
1347226042

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