Holdings: Graph drawing and network visualization

Graph drawing and network visualization: 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings

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Bibliographic Details
Corporate Author:	GD Prag (Author)
Other Authors:	Archambault, Daniel (Editor), Tóth, Csaba D. (Editor)
Format:	Electronic Conference Proceeding eBook
Language:	English
Published:	Cham Springer [2019]
Series:	Lecture notes in computer science 11904
Subjects:	Algorithm Analysis and Problem Complexity Mathematics of Computing Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Algorithms Computer science—Mathematics Data structures (Computer science) Optical data processing Graphenzeichnen Konferenzschrift > 2019 > Prag
Online Access:	DE-634 DE-Aug4 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext Buchcover
Physical Description:	1 Online-Ressource (xxiii, 626 Seiten) 460 Illustrationen, 244 in Farbe
ISBN:	9783030358020
DOI:	10.1007/978-3-030-35802-0

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Record in the Search Index

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genre	(DE-588)1071861417 Konferenzschrift 2019 Prag gnd-content
genre_facet	Konferenzschrift 2019 Prag
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isbn	9783030358020
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-031661378
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physical	1 Online-Ressource (xxiii, 626 Seiten) 460 Illustrationen, 244 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2019 ZDB-2-LNC_2019 ZDB-2-LNC ZDB-2-LNC_2019
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series	Lecture notes in computer science
series2	Lecture notes in computer science Theoretical computer science and general issues
spellingShingle	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings Lecture notes in computer science Algorithm Analysis and Problem Complexity Mathematics of Computing Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Algorithms Computer science—Mathematics Data structures (Computer science) Optical data processing Graphenzeichnen (DE-588)4706480-8 gnd
subject_GND	(DE-588)4706480-8 (DE-588)1071861417
title	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings
title_auth	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings
title_exact_search	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings
title_full	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings Daniel Archambault, Csaba D. Tóth (eds.)
title_fullStr	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings Daniel Archambault, Csaba D. Tóth (eds.)
title_full_unstemmed	Graph drawing and network visualization 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings Daniel Archambault, Csaba D. Tóth (eds.)
title_short	Graph drawing and network visualization
title_sort	graph drawing and network visualization 27th international symposium gd 2019 prague czech republic september 17 20 2019 proceedings
title_sub	27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019 : proceedings
topic	Algorithm Analysis and Problem Complexity Mathematics of Computing Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Algorithms Computer science—Mathematics Data structures (Computer science) Optical data processing Graphenzeichnen (DE-588)4706480-8 gnd
topic_facet	Algorithm Analysis and Problem Complexity Mathematics of Computing Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Algorithms Computer science—Mathematics Data structures (Computer science) Optical data processing Graphenzeichnen Konferenzschrift 2019 Prag
url	https://doi.org/10.1007/978-3-030-35802-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031661378&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV014880109
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