| Finding paths and cycles of superpolylogarithmic length |
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Annual ACM Symposium on Theory of Computing
archive
Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
table of contents
Chicago, IL, USA
SESSION: Session 11A
table of contents
Pages: 407 - 416
Year of Publication: 2004
ISBN:1-58113-852-0
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Downloads (6 Weeks): 9, Downloads (12 Months): 42, Citation Count: 8
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ABSTRACT
Let l be the number of edges in a longest cycle containing a given vertex v in an undirected graph. We show how to find a cycle through v of length (Ω(√ log l, log log l)) in polynomial time. This implies the same bound for the longest cycle, longest vw-path and longest path. The previous best bound for longest path is length Ω((log l )2/, log log l) due to Björklund and Husfeldt. Our approach, which builds on Björklund and Husfeldt's, uses cycles to enlarge cycles. This self-reducibility allows the approximation method to be iterated.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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B. Monien, How to find long paths efficiently, Annals Disc. Math., 25 (1985), pp. 239--254.
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R. E. Tarjan, Depth-first search and linear graph algorithms, SIAM J. Comput., 1 (1972), pp. 146--160.
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D. B. West, Introduction to Graph Theory, 2nd Ed., Prentice Hall (2001).
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CITED BY 8
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Esther M. Arkin , Sándor P. Fekete , Kamrul Islam , Henk Meijer , Joseph S. B. Mitchell , Yurai Núòez-Rodríguez , Valentin Polishchuk , David Rappaport , Henry Xiao, Not being (super)thin or solid is hard: A study of grid Hamiltonicity, Computational Geometry: Theory and Applications, v.42 n.6-7, p.582-605, August, 2009
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