Editors:
- Anniversary edition
- With contributions of international experts
- State-of-the-art contents
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10000)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
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Table of contents (26 chapters)
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Front Matter
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Computation and Complexity
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Front Matter
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Methods, Languages and Tools for Future System Development
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Front Matter
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About this book
The papers of this volume focus on the foundational aspects of computer science, the thematic origin and stronghold of LNCS, under the title “Computing and Software Science: State of the Art and Perspectives”.
They are organized in two parts:
The first part, Computation and Complexity, presents a collection of expository papers on fashionable themes in algorithmics, optimization, and complexity.
The second part, Methods, Languages and Tools for Future System Development, aims at sketching the methodological evolution that helps guaranteeing that future systems meet their increasingly critical requirements.
Chapter 3 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Editors and Affiliations
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Technical University of Dortmund, Dortmund, Germany
Bernhard Steffen
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RWTH Aachen, Aachen, Germany
Gerhard Woeginger
Bibliographic Information
Book Title: Computing and Software Science
Book Subtitle: State of the Art and Perspectives
Editors: Bernhard Steffen, Gerhard Woeginger
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-91908-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-319-91907-2Published: 05 October 2019
eBook ISBN: 978-3-319-91908-9Published: 04 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 590
Number of Illustrations: 720 b/w illustrations, 54 illustrations in colour
Topics: Computer Science, general, Software Engineering, Programming Languages, Compilers, Interpreters, System Performance and Evaluation, Algorithm Analysis and Problem Complexity, Artificial Intelligence