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  5. Average-case analysis of incremental topological ordering
 
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Average-case analysis of incremental topological ordering

Author(s)
Ajwani, Deepak  
Friedrich, Tobias  
Uri
http://hdl.handle.net/10197/10132
Date Issued
2010-02-28
Date Available
2019-04-24T13:00:26Z
Abstract
Many applications like pointer analysis and incremental compilation require maintaining a topological ordering of the nodes of a directed acyclic graph (DAG) under dynamic updates. All known algorithms for this problem are either only analyzed for worst-case insertion sequences or only evaluated experimentally on random DAGs. We present the first average-case analysis of incremental topological ordering algorithms. We prove an expected runtime of O(n2polylog(n)) under insertion of the edges of a complete DAG in a random order for the algorithms of Alpern et al. (1990) [4], Katriel and Bodlaender (2006) [18], and Pearce and Kelly.
Type of Material
Journal Article
Publisher
Elsevier
Journal
Discrete Applied Mathematics
Volume
158
Issue
4
Start Page
240
End Page
250
Copyright (Published Version)
2009 Elsevier
Subjects

Dynamic graph algorit...

Average-case analysis...

Random graphs

DOI
10.1016/j.dam.2009.07.006
Language
English
Status of Item
Peer reviewed
ISSN
0166-218X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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ajwani_dam10_before_copyright.pdf

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Format

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Checksum (MD5)

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Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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