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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
Author
Harold N. Gabow  University of Colorado at Boulder, Boulder, CO
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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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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A. Björklund, T. Husfeldt and S. Khanna, Approximating longest directed path, Electronic Colloq. on Comp. Complexity, Rept. No. 32, 2003.
 
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D. Karger, R. Motwani and G. D. S. Ramkumar, On approximating the longest path in a graph, Algorithmica 18 (1997), pp. 82--98.
 
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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).

CITED BY  8