DocumentCode :
3182656
Title :
Lower bounds for testing bipartiteness in dense graphs
Author :
Bogdanov, Andrej ; Trevisan, Luca
Author_Institution :
Comput. Sci. Div., California Univ., Berkeley, CA, USA
fYear :
2004
fDate :
21-24 June 2004
Firstpage :
75
Lastpage :
81
Abstract :
We consider the problem of testing bipartiteness in the adjacency matrix model. The best known algorithm, due to Alon and Krivelevich, distinguishes between bipartite graphs and graphs that are ε-far from bipartite using 0(1/ε2) queries. We show that this is optimal for non-adaptive algorithms, up to polylogarithmic factors. We also show a lower bound of Ω(1/ε32/) for adaptive algorithms.
Keywords :
computational complexity; graph theory; 0(1/ε2) queries; adaptive algorithm; adjacency matrix model; bipartite graphs; dense graph; graph bipartiteness testing; lower bound; nonadaptive algorithm; polylogarithmic factor; Adaptive algorithm; Bipartite graph; Computational complexity; Computer errors; Computer science; Polynomials; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Complexity, 2004. Proceedings. 19th IEEE Annual Conference on
ISSN :
1093-0159
Print_ISBN :
0-7695-2120-7
Type :
conf
DOI :
10.1109/CCC.2004.1313803
Filename :
1313803
Link To Document :
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