Fast algorithms for shortest paths in planar graphs, with applications
SIAM Journal on Computing
Dealing with higher dimensions: the well-separated pair decomposition and its applications
Dealing with higher dimensions: the well-separated pair decomposition and its applications
Davenport-Schinzel sequences and their geometric applications
Davenport-Schinzel sequences and their geometric applications
Approximating the Stretch Factor of Euclidean Graphs
SIAM Journal on Computing
Geometric Spanner Networks
Computing the Detour and Spanning Ratio of Paths, Trees, and Cycles in 2D and 3D
Discrete & Computational Geometry
Computing a minimum-dilation spanning tree is NP-hard
Computational Geometry: Theory and Applications
Improving the Stretch Factor of a Geometric Network by Edge Augmentation
SIAM Journal on Computing
Computing the Maximum Detour of a Plane Graph in Subquadratic Time
ISAAC '08 Proceedings of the 19th International Symposium on Algorithms and Computation
Computing Best and Worst Shortcuts of Graphs Embedded in Metric Spaces
ISAAC '08 Proceedings of the 19th International Symposium on Algorithms and Computation
Algorithms for graphs of bounded treewidth via orthogonal range searching
Computational Geometry: Theory and Applications
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
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Let G be a graph with n vertices which is embedded in Euclidean space R^d. For any two vertices of G, their dilation is defined to be the ratio of the length of a shortest connecting path in G to the Euclidean distance between them. In this paper, we study the spectrum of the dilation, over all pairs of vertices of G. For paths, cycles, and trees in R^2, we present O(n^3^/^2^+^@e)-time randomized algorithms that compute, for a given value @k1, the exact number of vertex pairs of dilation at most @k. Then we present deterministic algorithms that approximate the number of vertex pairs of dilation at most @k to within a factor of 1+@e. They run in O(nlog^2n) time for paths and cycles, and in O(nlog^3n) time for trees, in any constant dimension d.