Keywords and Synonyms
Spanning trees with low average stretch
Problem Definition
Consider a weighted connected multigraph \( { G = (V,E,\omega) } \), where ω is a function from the edge set E of G into the set of positive reals. For a path P in G, the weight of P is the sum of weights of edges that belong to the path P. For a pair of vertices \( { u,v \in V } \), the distance between them in G is the minimum weight of a path connecting u and v in G. For a spanning tree T of G, the stretch of an edge \( { (u,v) \in E } \) is defined by
and the average stretch over all edges of E is
The average stretch of a multigraph \( { G = (V,E,\omega) } \) is defined as the smallest average stretch of a spanning tree T of G, \( { \textit{avestr}(G,T) } \). The average stretch of a positive integer n, \( { \textit{avestr}(n) }...
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Alon, N., Karp, R.M., Peleg, D., West, D.: A graph-theoretic gane and its application to the k-server problem. SIAM J. Comput. 24(1), 78–100 (1995). Also available Technical Report TR-91-066, ICSI, Berkeley (1991)
Bartal, Y.: Probabilistic approximation of metric spaces and its algorithmic applications. In: Proceedings of the 37th Annual Symposium on Foundations of Computer Science, Berlington, Oct. 1996 pp. 184–193
Bartal, Y.: On approximating arbitrary metrices by tree metrics. In: Proceedings of the 30th annual ACM symposium on Theory of computing, Dallas, 23–26 May 1998, pp. 161–168
Boman, E., Hendrickson, B.: On spanning tree preconditioners. Manuscript, Sandia National Lab. (2001)
Boman, E., Hendrickson, B., Vavasis, S.: Solving elliptic finite element systems in near-linear time with suppost preconditioners. Manuscript, Sandia National Lab. and Cornell, http://arXiv.org/abs/cs/0407022 Accessed 9 July 2004
Chekuri, C., Hagiahayi, M.T., Kortsarz, G., Salavatipour, M.: Approximation Algorithms for Non-Uniform Buy-at-Bulk Network Design. In: Proceedings of the 47th Annual Symp. on Foundations of Computer Science, Berkeley, Oct. 2006, pp. 677–686
Deo, N., Prabhu, G.M., Krishnamoorthy, M.S.: Algorithms for generating fundamental cycles in a graph. ACM Trans. Math. Softw. 8, 26–42 (1982)
Elkin, M., Emek, Y., Spielman, D., Teng, S.-H.: Lower-Stretch Spanning Trees. In: Proc. of the 37th Annual ACM Symp. on Theory of Computing, STOC'05, Baltimore, May 2005, pp. 494–503
Elkin, M., Liebchen, C., Rizzi, R.: New Length Bounds for Cycle Bases. Inf. Proc. Lett. 104(5), 186–193 (2007)
Emek, Y., Peleg, D.: A tight upper bound on the probabilistic embedding of series-parallel graphs. In: Proc. of Symp. on Discr. Algorithms, SODA'06, Miami, Jan. 2006, pp. 1045–1053
Fakcharoenphol, J., Rao, S., Talwar, K.: A tight bound on approximating arbitrary metrics by tree metrics. In: Proceedings of the 35th annual ACM symposium on Theory of Computing, San Diego, June 2003, pp. 448–455
Horton, J.D.: A Polynomial-time algorithm to find the shortest cycle basis of a graph. SIAM J. Comput. 16(2), 358–366 (1987)
Spielman, D., Teng, S.-H.: Nearly-linear time algorithm for graph partitioning, graph sparsification, and solving linear systems. In: Proc. of the 36th Annual ACM Symp. on Theory of Computing, STOC'04, Chicago. USA, June 2004, pp. 81–90
Stepanec, G.F.: Basis systems of vector cycles with extremal properties in graphs. Uspekhi Mat. Nauk 19, 171–175 (1964). (In Russian)
Zykov, A.A.: Theory of Finite Graphs. Nauka, Novosibirsk (1969). (In Russian)
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Elkin, M. (2008). Low Stretch Spanning Trees. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30162-4_215
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