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188宝金博页面版: 【精品】Abstract

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内容提示: Lower-Stretch Spanning TreesMichael Elkin?Department of Computer ScienceBen-Gurion University of the NegevY. EmekWeizmann Institute of Science,Department of Computer Scienceand MathematicsShang-Hua Teng?Department of Computer ScienceBoston University andAkamai Technologies Inc.Daniel A. Spielman?Department of MathematicsMassachusetts Institute of TechnologyFebruary 6, 2005AbstractIn 1991, Alon, Karp, Peleg, and West proved that every weighted connected graph G containsas a subgraph a spanning tree into ...

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Lower-Stretch Spanning TreesMichael Elkin∗Department of Computer ScienceBen-Gurion University of the NegevY. EmekWeizmann Institute of Science,Department of Computer Scienceand MathematicsShang-Hua Teng‡Department of Computer ScienceBoston University andAkamai Technologies Inc.Daniel A. Spielman†Department of MathematicsMassachusetts Institute of TechnologyFebruary 6, 2005AbstractIn 1991, Alon, Karp, Peleg, and West proved that every weighted connected graph G containsas a subgraph a spanning tree into which the edges of G can be embedded with average stretchexpO(√log n loglogn), and that there exists an n-vertex graph G such that all its spanningtrees have average stretch ?(log n).Closing the exponential gap between these upper andlower bounds is listed as one of the long-standing open questions in the area of low-distortionembeddings of metrics (Matousek 2002).We significantly reduce this gap by constructing a spanning tree in G of average stretchO((log n loglogn)2). Moreover, we show that this tree can be constructed in time O(m log2n)in general, and in time O(m log n) if the input graph is unweighted. The main ingredient in ourconstruction is a novel graph decomposition technique.Our new algorithm can be immediately used to improve the running time of the recent solverfor diagonally dominant linear systems of Spielman and Teng fromm2(O(√log n log log n))log(1/)tom logO(1)n log(1/),and to O(n(log n log logn)2log(1/)) when the system is planar. Applying a recent reduction ofBoman, Hendrickson and Vavasis, this provides an O(n(log n log logn)2log(1/)) time algorithmfor solving the linear systems that arise when applying the finite element method to solve two-dimensional elliptic partial differential equations. Our result can also be used to improve severalearlier approximation algorithms that use low-stretch spanning trees.∗Part of this work was done in Yale University, and was was supported by the DoD University Research Initiative(URI) administered by the Office of Naval Research under Grant N00014-01-1-0795. The work was also partiallysupported by the Lynn and William Frankel Center for Computer Sciences.†Partially supported by NSF grant CCR-0324914. Part of this work was done at Yale University.‡Partially supported by NSF grants CCR-0311430 and ITR CCR-0325630.

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