1,465 research outputs found

    Upper and Lower Bounds for Competitive Online Routing on Delaunay Triangulations

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    Consider a weighted graph G where vertices are points in the plane and edges are line segments. The weight of each edge is the Euclidean distance between its two endpoints. A routing algorithm on G has a competitive ratio of c if the length of the path produced by the algorithm from any vertex s to any vertex t is at most c times the length of the shortest path from s to t in G. If the length of the path is at most c times the Euclidean distance from s to t, we say that the routing algorithm on G has a routing ratio of c.We present an online routing algorithm on the Delaunay triangulation with competitive and routing ratios of 5.90. This improves upon the best known algorithm that has competitive and routing ratio 15.48. The algorithm is a generalization of the deterministic 1-local routing algorithm by Chew on the L1-Delaunay triangulation. When a message follows the routing path produced by our algorithm, its header need only contain the coordinates of s and t. This is an improvement over the currently known competitive routing algorithms on the Delaunay triangulation, for which the header of a message must additionally contain partial sums of distances along the routing path.We also show that the routing ratio of any deterministic k-local algorithm is at least 1.70 for the Delaunay triangulation and 2.70 for the L1-Delaunay triangulation. In the case of the L1-Delaunay triangulation, this implies that even though there exists a path between two points x and y whose length is at most 2.61|[xy]| (where |[xy]| denotes the length of the line segment [xy]), it is not always possible to route a message along a path of length less than 2.70|[xy]|. From these bounds on the routing ratio, we derive lower bounds on the competitive ratio of 1.23 for Delaunay triangulations and 1.12 for L1-Delaunay triangulations

    Counting Triangulations and other Crossing-Free Structures Approximately

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    We consider the problem of counting straight-edge triangulations of a given set PP of nn points in the plane. Until very recently it was not known whether the exact number of triangulations of PP can be computed asymptotically faster than by enumerating all triangulations. We now know that the number of triangulations of PP can be computed in O(2n)O^{*}(2^{n}) time, which is less than the lower bound of Ω(2.43n)\Omega(2.43^{n}) on the number of triangulations of any point set. In this paper we address the question of whether one can approximately count triangulations in sub-exponential time. We present an algorithm with sub-exponential running time and sub-exponential approximation ratio, that is, denoting by Λ\Lambda the output of our algorithm, and by cnc^{n} the exact number of triangulations of PP, for some positive constant cc, we prove that cnΛcn2o(n)c^{n}\leq\Lambda\leq c^{n}\cdot 2^{o(n)}. This is the first algorithm that in sub-exponential time computes a (1+o(1))(1+o(1))-approximation of the base of the number of triangulations, more precisely, cΛ1n(1+o(1))cc\leq\Lambda^{\frac{1}{n}}\leq(1 + o(1))c. Our algorithm can be adapted to approximately count other crossing-free structures on PP, keeping the quality of approximation and running time intact. In this paper we show how to do this for matchings and spanning trees.Comment: 19 pages, 2 figures. A preliminary version appeared at CCCG 201

    Triangulating the Square and Squaring the Triangle: Quadtrees and Delaunay Triangulations are Equivalent

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    We show that Delaunay triangulations and compressed quadtrees are equivalent structures. More precisely, we give two algorithms: the first computes a compressed quadtree for a planar point set, given the Delaunay triangulation; the second finds the Delaunay triangulation, given a compressed quadtree. Both algorithms run in deterministic linear time on a pointer machine. Our work builds on and extends previous results by Krznaric and Levcopolous and Buchin and Mulzer. Our main tool for the second algorithm is the well-separated pair decomposition(WSPD), a structure that has been used previously to find Euclidean minimum spanning trees in higher dimensions (Eppstein). We show that knowing the WSPD (and a quadtree) suffices to compute a planar Euclidean minimum spanning tree (EMST) in linear time. With the EMST at hand, we can find the Delaunay triangulation in linear time. As a corollary, we obtain deterministic versions of many previous algorithms related to Delaunay triangulations, such as splitting planar Delaunay triangulations, preprocessing imprecise points for faster Delaunay computation, and transdichotomous Delaunay triangulations.Comment: 37 pages, 13 figures, full version of a paper that appeared in SODA 201

    Dense point sets have sparse Delaunay triangulations

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    The spread of a finite set of points is the ratio between the longest and shortest pairwise distances. We prove that the Delaunay triangulation of any set of n points in R^3 with spread D has complexity O(D^3). This bound is tight in the worst case for all D = O(sqrt{n}). In particular, the Delaunay triangulation of any dense point set has linear complexity. We also generalize this upper bound to regular triangulations of k-ply systems of balls, unions of several dense point sets, and uniform samples of smooth surfaces. On the other hand, for any n and D=O(n), we construct a regular triangulation of complexity Omega(nD) whose n vertices have spread D.Comment: 31 pages, 11 figures. Full version of SODA 2002 paper. Also available at http://www.cs.uiuc.edu/~jeffe/pubs/screw.htm

    The Stretch Factor of the Delaunay Triangulation Is Less Than 1.998

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    Let SS be a finite set of points in the Euclidean plane. Let DD be a Delaunay triangulation of SS. The {\em stretch factor} (also known as {\em dilation} or {\em spanning ratio}) of DD is the maximum ratio, among all points pp and qq in SS, of the shortest path distance from pp to qq in DD over the Euclidean distance pq||pq||. Proving a tight bound on the stretch factor of the Delaunay triangulation has been a long standing open problem in computational geometry. In this paper we prove that the stretch factor of the Delaunay triangulation of a set of points in the plane is less than ρ=1.998\rho = 1.998, improving the previous best upper bound of 2.42 by Keil and Gutwin (1989). Our bound 1.998 is better than the current upper bound of 2.33 for the special case when the point set is in convex position by Cui, Kanj and Xia (2009). This upper bound breaks the barrier 2, which is significant because previously no family of plane graphs was known to have a stretch factor guaranteed to be less than 2 on any set of points.Comment: 41 pages, 16 figures. A preliminary version of this paper appeared in the Proceedings of the 27th Annual Symposium on Computational Geometry (SoCG 2011). This is a revised version of the previous preprint [v1

    Lower bounds on the dilation of plane spanners

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    (I) We exhibit a set of 23 points in the plane that has dilation at least 1.43081.4308, improving the previously best lower bound of 1.41611.4161 for the worst-case dilation of plane spanners. (II) For every integer n13n\geq13, there exists an nn-element point set SS such that the degree 3 dilation of SS denoted by δ0(S,3) equals 1+3=2.7321\delta_0(S,3) \text{ equals } 1+\sqrt{3}=2.7321\ldots in the domain of plane geometric spanners. In the same domain, we show that for every integer n6n\geq6, there exists a an nn-element point set SS such that the degree 4 dilation of SS denoted by δ0(S,4) equals 1+(55)/2=2.1755\delta_0(S,4) \text{ equals } 1 + \sqrt{(5-\sqrt{5})/2}=2.1755\ldots The previous best lower bound of 1.41611.4161 holds for any degree. (III) For every integer n6n\geq6 , there exists an nn-element point set SS such that the stretch factor of the greedy triangulation of SS is at least 2.02682.0268.Comment: Revised definitions in the introduction; 23 pages, 15 figures; 2 table

    Simplified Emanation Graphs: A Sparse Plane Spanner with Steiner Points

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    Emanation graphs of grade kk, introduced by Hamedmohseni, Rahmati, and Mondal, are plane spanners made by shooting 2k+12^{k+1} rays from each given point, where the shorter rays stop the longer ones upon collision. The collision points are the Steiner points of the spanner. We introduce a method of simplification for emanation graphs of grade k=2k=2, which makes it a competent spanner for many possible use cases such as network visualization and geometric routing. In particular, the simplification reduces the number of Steiner points by half and also significantly decreases the total number of edges, without increasing the spanning ratio. Exact methods of simplification along with mathematical proofs on properties of the simplified graph is provided. We compare simplified emanation graphs against Shewchuk's constrained Delaunay triangulations on both synthetic and real-life datasets. Our experimental results reveal that the simplified emanation graphs outperform constrained Delaunay triangulations in common quality measures (e.g., edge count, angular resolution, average degree, total edge length) while maintain a comparable spanning ratio and Steiner point count.Comment: A preliminary and shorter version of this paper was accepted in SOFSEM 202
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