1,465 research outputs found
Upper and Lower Bounds for Competitive Online Routing on Delaunay Triangulations
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
We consider the problem of counting straight-edge triangulations of a given
set of points in the plane. Until very recently it was not known
whether the exact number of triangulations of can be computed
asymptotically faster than by enumerating all triangulations. We now know that
the number of triangulations of can be computed in time,
which is less than the lower bound of 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 the output of our
algorithm, and by the exact number of triangulations of , for some
positive constant , we prove that . This is the first algorithm that in sub-exponential time computes a
-approximation of the base of the number of triangulations, more
precisely, . Our algorithm can be
adapted to approximately count other crossing-free structures on , 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
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
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
Let be a finite set of points in the Euclidean plane. Let be a
Delaunay triangulation of . The {\em stretch factor} (also known as {\em
dilation} or {\em spanning ratio}) of is the maximum ratio, among all
points and in , of the shortest path distance from to in
over the Euclidean distance . 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 , 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
(I) We exhibit a set of 23 points in the plane that has dilation at least
, improving the previously best lower bound of for the
worst-case dilation of plane spanners.
(II) For every integer , there exists an -element point set
such that the degree 3 dilation of denoted by in the domain of plane geometric spanners. In the
same domain, we show that for every integer , there exists a an
-element point set such that the degree 4 dilation of denoted by
The
previous best lower bound of holds for any degree.
(III) For every integer , there exists an -element point set
such that the stretch factor of the greedy triangulation of is at least
.Comment: Revised definitions in the introduction; 23 pages, 15 figures; 2
table
Simplified Emanation Graphs: A Sparse Plane Spanner with Steiner Points
Emanation graphs of grade , introduced by Hamedmohseni, Rahmati, and
Mondal, are plane spanners made by shooting 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 ,
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
- …