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DOI: 10.4230/LIPIcs.FSTTCS.2018.39
URN: urn:nbn:de:0030-drops-99383
URL: http://drops.dagstuhl.de/opus/volltexte/2018/9938/
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Tirodkar, Sumedh

Deterministic Algorithms for Maximum Matching on General Graphs in the Semi-Streaming Model

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LIPIcs-FSTTCS-2018-39.pdf (0.5 MB)


Abstract

We present an improved deterministic algorithm for Maximum Cardinality Matching on general graphs in the Semi-Streaming Model. In the Semi-Streaming Model, a graph is presented as a sequence of edges, and an algorithm must access the edges in the given sequence. It can only use O(n polylog n) space to perform computations, where n is the number of vertices of the graph. If the algorithm goes over the stream k times, it is called a k-pass algorithm. In this model, McGregor [McGregor, 2005] gave the currently best known randomized (1+epsilon)-approximation algorithm for maximum cardinality matching on general graphs, that uses (1/epsilon)^{O(1/epsilon)} passes. Ahn and Guha [Ahn and Guha, 2013] later gave the currently best known deterministic (1+epsilon)-approximation algorithms for maximum cardinality matching: one on bipartite graphs that uses O(log log(1/epsilon)/epsilon^2) passes, and the other on general graphs that uses O(log n *poly(1/epsilon)) passes (note that, for general graphs, the number of passes is dependent on the size of the input). We present the first deterministic algorithm that achieves a (1+epsilon)-approximation on general graphs in only a constant number ((1/epsilon)^{O(1/epsilon)}) of passes.

BibTeX - Entry

@InProceedings{tirodkar:LIPIcs:2018:9938,
  author =	{Sumedh Tirodkar},
  title =	{{Deterministic Algorithms for Maximum Matching on General Graphs in the Semi-Streaming Model}},
  booktitle =	{38th IARCS Annual Conference on Foundations of Software  Technology and Theoretical Computer Science (FSTTCS 2018)},
  pages =	{39:1--39:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-093-4},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{122},
  editor =	{Sumit Ganguly and Paritosh Pandya},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9938},
  URN =		{urn:nbn:de:0030-drops-99383},
  doi =		{10.4230/LIPIcs.FSTTCS.2018.39},
  annote =	{Keywords: Semi Streaming, Maximum Matching}
}

Keywords: Semi Streaming, Maximum Matching
Seminar: 38th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2018)
Issue Date: 2018
Date of publication: 23.11.2018


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