New approximation algorithms for minimum cycle bases of graphs

• Authors: Telikepalli Kavitha;Kurt Mehlhorn;Dimitrios Michail
• Venue: STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
• Year: 2007

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 F2 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 O(kmn1+2/k + mn(1+1/k)(ω-1)) and deterministic running time O(n3+2/k), respectively. Here ω is the best exponent of matrix multiplication. It is presently known that ω o(mω) for dense graphs. This is the first time that any algorithm which computes sparse cycle bases with a guarantee drops below the Θ(mω) bound. We also present a 2-approximation algorithm with O(mω√nlogn) expected running time, a linear time 2-approximation algorithm for planar graphs and an O(n3) time 2.42-approximation algorithm for the complete Euclidean graph in the plane.