Kavitha, Telikepalli and Mehlhorn, Kurt and Michail, Dimitrios
(2007)
*New approximation algorithms for minimum cycle bases of graphs.*
In: 24th Annual Symposium on Theoretical Aspects of Computer Science, FEB 22-24, 2007, Aachen.

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## Abstract

We consider the problem of computing an approximate minimum cycle basis of an undirected edge-weighted graph G with m edges and n vertices; the extension to directed graphs is also discussed. In this problem, a {0,1} incidence vector is associated with each cycle and the vector space over F-2 generated by these vectors is the cycle space of G. A set of cycles is called a cycle basis of G if it forms a basis for its cycle space. A cycle basis where the sum of the weights of the cycles is minimum is called a minimum cycle basis of G. Cycle bases of low weight are useful in a number of contexts, e.g. the analysis of electrical networks, structural engineering, chemistry, and surface reconstruction. We present two new algorithms to compute an approximate minimum cycle basis. For any integer k >= 1, we give (2k - 1)-approximation algorithms with expected running time 0(kmn(1+2/k) + mn((1+1/k)(omega-1))) and deterministic running time 0(n(3+2/k)), respectively. Here omega is the best exponent of matrix multiplication. It is presently known that omega < 2.376. Both algorithms are o(m(omega)) for dense graphs. This is the first time that any algorithm which computes sparse cycle bases with a guarantee drops below the Theta(m(omega)) bound. We also present a 2-approximation algorithm with O(m(omega) root n log n) expected running time, a linear time 2-approximation algorithm for planar graphs and an O(n(3)) time 2.42-approximation algorithm for the complete Euclidean graph in the plane.

Item Type: | Conference Paper |
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Publisher: | Springer |

Additional Information: | Copyright of this article belongs to Springer. |

Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |

Date Deposited: | 29 Mar 2010 06:30 |

Last Modified: | 19 Sep 2010 05:58 |

URI: | http://eprints.iisc.ac.in/id/eprint/26578 |

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