Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13947)
Included in the following conference series:
Conference proceedings info: CALDAM 2023.
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About this book
This book constitutes the proceedings of the 9th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2023, which was held in Gandhinagar, India, during February 9-11, 2023.
The 32 papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers were organized in topical sections named: algorithms and optimization; computational geometry; game theory; graph coloring; graph connectivity; graph domination; graph matching; graph partition and graph covering.
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Keywords
- approximation algorithms
- approximation theory
- artificial intelligence
- bipartite graphs
- coloring
- computer networks
- computer science
- computer systems
- directed graphs
- engineering
- general graph
- graph g
- graph theory
- graphic methods
- mathematics
- polynomial approximation
- signal processing
- theoretical computer science
- vertex set
- weighted graph
Table of contents (34 papers)
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Back Matter
Other volumes
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Algorithms and Discrete Applied Mathematics
Editors and Affiliations
Bibliographic Information
Book Title: Algorithms and Discrete Applied Mathematics
Book Subtitle: 9th International Conference, CALDAM 2023, Gandhinagar, India, February 9–11, 2023, Proceedings
Editors: Amitabha Bagchi, Rahul Muthu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-25211-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-25210-5Published: 03 February 2023
eBook ISBN: 978-3-031-25211-2Published: 26 January 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 462
Number of Illustrations: 62 b/w illustrations, 29 illustrations in colour
Topics: Mathematics of Computing, Algorithm Analysis and Problem Complexity, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Structures