19th Annual IEEE Conference on Computational Complexity (CCC'04) Lower Bounds for Testing Bipartiteness in Dense Graphs Amherst, Massachusetts June 21-June 24 ISBN: 0-7695-2120-7
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 ∊-far from bipartite using \mathop 0\limits^ \sim (1/\varepsilon ^2 ) queries. We show that this is optimal for non-adaptive algorithms, up to polylogarithmic factors. We also show a lower bound of \Omega (1/\varepsilon ^{3/2} ) for adaptive algorithms.
Citation:
Andrej Bogdanov, Luca Trevisan, "Lower Bounds for Testing Bipartiteness in Dense Graphs," ccc, pp.75-81, 19th Annual IEEE Conference on Computational Complexity (CCC'04), 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||