Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12337)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: TAMC 2020.
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About this book
This book constitutes the refereed proceedings of the 16th Annual Conference on Theory and Applications of Models of Computation, TAMC 2020, held in Changsha, China, in October 2020.
The 37 full papers were carefully reviewed and selected from 83 submissions. The main themes of the selected papers are computability, complexity, algorithms, information theory and their extensions to machine learning theory and foundations of artificial intelligence.
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Keywords
- approximation algorithms
- approximation theory
- artificial intelligence
- combinatorial optimization
- computational complexity
- discrete mathematics
- distributed computer systems
- graph theory
- models of computation
- optimization
- polynomial approximation
- signal processing
- algorithm analysis and problem complexity
- data structures
Table of contents (37 papers)
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Theory and Applications of Models of Computation
Editors and Affiliations
Bibliographic Information
Book Title: Theory and Applications of Models of Computation
Book Subtitle: 16th International Conference, TAMC 2020, Changsha, China, October 18–20, 2020, Proceedings
Editors: Jianer Chen, Qilong Feng, Jinhui Xu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-59267-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-59266-0Published: 12 October 2020
eBook ISBN: 978-3-030-59267-7Published: 11 October 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 454
Number of Illustrations: 207 b/w illustrations, 33 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Numeric Computing, Discrete Mathematics in Computer Science, Data Structures