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Graph Drawing and Network Visualization - 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16-18, 2020, Revised Selected Papers (Paperback, 1st ed. 2020) Loot Price: R1,600
Discovery Miles 16 000
Graph Drawing and Network Visualization - 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16-18, 2020,...

Graph Drawing and Network Visualization - 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16-18, 2020, Revised Selected Papers (Paperback, 1st ed. 2020)

David Auber, Pavel Valtr

Series: Lecture Notes in Computer Science, 12590

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Loot Price R1,600 Discovery Miles 16 000 | Repayment Terms: R150 pm x 12*

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This book constitutes the refereed proceedings of the 28th International Symposium on Graph Drawing and Network Visualization, GD 2020, which was held during September 16-18, 2020. The conference was planned to take place in Vancouver, Canada, but changed to an online format due to the COVID-19 pandemic. The 29 full and 9 short papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections named: gradient descent and queue layouts; drawing tree-like graphs, visualization, and special drawings of elementary graphs; restricted drawings of special graph classes; orthogonality; topological constraints; crossings, k-planar graphs; planarity; graphs drawing contest.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12590
Release date: February 2021
First published: 2020
Editors: David Auber • Pavel Valtr
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 546
Edition: 1st ed. 2020
ISBN-13: 978-3-03-068765-6
Categories: Books > Science & Mathematics > Mathematics > General
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 3-03-068765-1
Barcode: 9783030687656

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