Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11904)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): GD: International Symposium on Graph Drawing and Network Visualization
Conference proceedings info: GD 2019.
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Table of contents (44 papers)
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Best Paper in Track 1
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Front Matter
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Morphing and Planarity
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Front Matter
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Parameterized Complexity
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Front Matter
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Collinearities
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Front Matter
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About this book
The 42 papers and 12 posters presented in this volume were carefully reviewed and selected from 113 submissions. They were organized into the following topical sections: Cartograms and Intersection Graphs, Geometric Graph Theory, Clustering, Quality Metrics, Arrangements, A Low Number of Crossings, Best Paper in Track 1, Morphing and Planarity, Parameterized Complexity, Collinearities, Topological Graph Theory, Best Paper in Track 2, Level Planarity, Graph Drawing Contest Report, and Poster Abstracts.
Editors and Affiliations
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Swansea University, Swansea, UK
Daniel Archambault
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California State University, Northridge, Los Angeles, USA
Csaba D. Tóth
Bibliographic Information
Book Title: Graph Drawing and Network Visualization
Book Subtitle: 27th International Symposium, GD 2019, Prague, Czech Republic, September 17–20, 2019, Proceedings
Editors: Daniel Archambault, Csaba D. Tóth
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-35802-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-35801-3Published: 28 November 2019
eBook ISBN: 978-3-030-35802-0Published: 28 November 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 626
Number of Illustrations: 71 b/w illustrations, 256 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Mathematics of Computing, Data Structures and Information Theory, Computer Imaging, Vision, Pattern Recognition and Graphics
Industry Sectors: Aerospace, Biotechnology, Electronics, Energy, Utilities & Environment, IT & Software, Telecommunications