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2020, arXiv: Computational Geometry
Lightness and sparsity are two natural parameters for Euclidean $(1+\epsilon)$-spanners. Classical results show that, when the dimension $d\in \mathbb{N}$ and $\epsilon>0$ are constant, every set $S$ of $n$ points in $d$-space admits an $(1+\epsilon)$-spanners with $O(n)$ edges and weight proportional to that of the Euclidean MST of $S$. Tight bounds on the dependence on $\epsilon>0$ for constant $d\in \mathbb{N}$ have been established only recently. Le and Solomon (FOCS 2019) showed that Steiner points can substantially improve the lightness and sparsity of a $(1+\epsilon)$-spanner. They gave upper bounds of $\tilde{O}(\epsilon^{-(d+1)/2})$ for the minimum lightness in dimensions $d\geq 3$, and $\tilde{O}(\epsilon^{-(d-1))/2})$ for the minimum sparsity in $d$-space for all $d\geq 1$. They obtained lower bounds only in the plane ($d=2$). Le and Solomon (ESA 2020) also constructed Steiner $(1+\epsilon)$-spanners of lightness $O(\epsilon^{-1}\log\Delta)$ in the plane, where $\De...
Discrete & Computational Geometry, 2010
We show that for every n-point metric space M and positive integer k, there exists a spanning tree T with unweighted diameter O(k) and weight w(T ) = O(k · n 1/k ) · w(M ST (M )), and a spanning tree T ′ with weight w(T ′ ) = O(k) · w(M ST (M )) and unweighted diameter O(k · n 1/k ). These trees also achieve an optimal maximum degree. Furthermore, we demonstrate that these trees can be constructed efficiently.
Discrete Optimization, 2014
Let P = {P 1 , P 2 ,. .. , P n } be a set of n points in R d. For every 1 ≤ i ≤ n, define the star rooted at P i as the union of all straight line segments joining P i to all the other points in the set P. A Steiner star is the union of all straight line segments connecting some point in R d to each point of P. The length of a star is defined as the total Euclidean length of its edges. We consider the problem of estimating the supremum of the ratio between the rooted star of minimal length and the Steiner star of minimal length, taken over all n point configurations in R d. This is known as the Steiner ratio in R d. It is conjectured that this ratio is 4/π when d = 2 and 4/3 when d = 3. Fekete and Meijer proved that for every d, this ratio is bounded from above by √ 2. Very recently, Dumitrescu, Tóth and Xu proved better upper bounds: 1.3631 for d = 2 and 1.3833 for d = 3. By a refinement of their approach we further improve these bounds to 1.3546 in the plane and 1.3801 in 3-space. These estimates yield improved upper bounds on the maximum ratio between the minimum star and the maximum matching in two and three dimensions.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013
A classical result in metric geometry asserts that any n-point metric admits a linear-size spanner of dilation O(log n) [PS89]. More generally, for any c > 1, any metric space admits a spanner of size O(n 1+1/c), and dilation at most c. This bound is tight assuming the well-known girth conjecture of Erdős [Erd63]. We show that for a metric induced by a set of n points in high-dimensional Euclidean space, it is possible to obtain improved dilation/size trade-offs. More specifically, we show that any n-point Euclidean metric admits a near-linear size spanner of dilation O(√ log n). Using the LSH scheme of Andoni and Indyk [AI06] we further show that for any c > 1, there exist spanners of size roughly O(n 1+1/c 2) and dilation O(c). Finally, we also exhibit super-linear lower bounds on the size of spanners with constant dilation.
arXiv (Cornell University), 2010
Given a directed graph G = (V, E) and an integer k ≥ 1, a k-transitive-closure-spanner (k-TCspanner) of G is a directed graph H = (V, E H) that has (1) the same transitive-closure as G and (2) diameter at most k. In some applications, the shortcut paths added to the graph in order to obtain small diameter can use Steiner vertices, that is, vertices not in the original graph G. The resulting spanner is called a Steiner transitive-closure spanner (Steiner TC-spanner). Motivated by applications to property reconstruction and access control hierarchies, we concentrate on Steiner TC-spanners of directed acyclic graphs or, equivalently, partially ordered sets. In these applications, the goal is to find a sparsest Steiner k-TC-spanner of a poset G for a given k and G. The focus of this paper is the relationship between the dimension of a poset and the size of its sparsest Steiner TCspanner. The dimension of a poset G is the smallest d such that G can be embedded into a d-dimensional directed hypergrid via an order-preserving embedding. We present a nearly tight lower bound on the size of Steiner 2-TC-spanners of d-dimensional directed hypergrids. It implies better lower bounds on the complexity of local reconstructors of monotone functions and functions with low Lipschitz constant. The proof of the lower bound constructs a dual solution to a linear programming relaxation of the Steiner 2-TC-spanner problem. We also show that one can efficiently construct a Steiner 2-TC-spanner, of size matching the lower bound, for any low-dimensional poset. Finally, we present a lower bound on the size of Steiner k-TC-spanners of d-dimensional posets that shows that the best-known construction, due to De Santis et al., cannot be improved significantly.
Combinatorica, 2014
Given a directed graph G = (V, E) and an integer k ≥ 1, a k-transitive-closure-spanner (k-TCspanner) of G is a directed graph H = (V, E H) that has (1) the same transitive closure as G and (2) diameter at most k. In some applications, the shortcut paths added to the graph in order to obtain small diameter can use Steiner vertices, that is, vertices not in the original graph G. The resulting spanner is called a Steiner transitive-closure spanner (Steiner TC-spanner). Motivated by applications to property reconstruction and access control hierarchies, we concentrate on Steiner TC-spanners of directed acyclic graphs or, equivalently, partially ordered sets. In these applications, the goal is to find a sparsest Steiner k-TC-spanner of a poset G for a given k and G. The focus of this paper is the relationship between the dimension of a poset and the size of its sparsest Steiner TC-spanner. The dimension of a poset G is the smallest d such that G can be embedded into a d-dimensional directed hypergrid via an order-preserving embedding. We present a nearly tight lower bound on the size of Steiner 2-TC-spanners of d-dimensional directed hypergrids. It implies better lower bounds on the complexity of local reconstructors of monotone functions and functions with small Lipschitz constant. The lower bound is derived from an explicit dual solution to a linear programming relaxation of the Steiner 2-TC-spanner problem. We also give an efficient construction of Steiner 2-TC-spanners, of size matching the lower bound, for all low-dimensional posets. Finally, we present a lower bound on the size of Steiner k-TC-spanners of d-dimensional posets. It shows that the best-known construction, due to De Santis et al., cannot be improved significantly.
IAEME Publications, 2017
For a connected graph G=(V,E) of order at least 3 and a nonempty subset the minimum size of a connected subgraph containing , if the subgraph a tree with the distance then the tree is called Steiner . A set is called Steiner set of if every vertex of is contained in a Steiner W-tree of . The Minimum cardinality of its Steiner set called the Steiner number denoted as . We present some classes of graphs for which Steiner numberis known. We have estimated the Sharpe bound for the Steiner number of some classes of graphs such as wheel Fan , KmKn,, , .
Algorithmica, 2009
New tight bounds are presented on the minimum length of planar straight line graphs connecting n given points in the plane and having convex faces. Specifically, we show that the minimum length of a convex Steiner partition for n points in the plane is at most O(log n/ log log n) times longer than a Euclidean minimum spanning tree (EMST), and this bound is the best possible. Without Steiner points, the corresponding bound is known to be Θ(log n), attained for n vertices of a pseudo-triangle. We also show that the minimum length convex Steiner partition of n points along a pseudo-triangle is at most O(log log n) times longer than an EMST, and this bound is also the best possible. Our methods are constructive and lead to O(n log n) time algorithms for computing convex Steiner partitions having O(n) Steiner points and weight within the above worst-case bounds in both cases.
In this work we study more questions about spanners in the l 1 -metric. Concretely, we will see that adding some Steiner points to a set of sites the metrically complete graph of the new set has a linear number of edges. We will also characterize the free dilation trees. Finally, inspired in the work for the l 1 -metric, we will study points in general position for other metrics, the λ-metrics.
Mathematics
In 1989, Chartrand, Oellermann, Tian and Zou introduced the Steiner distance for graphs. This is a natural generalization of the classical graph distance concept. Let Γ be a connected graph of order at least 2, and S\V(Γ). Then, the minimum size among all the connected subgraphs whose vertex sets contain S is the Steiner distancedΓ(S) among the vertices of S. The Steiner k-eccentricity ek(v) of a vertex v of Γ is defined by ek(v)=max{dΓ(S)|S\V(Γ),|S|=k,andv∈S}, where n and k are two integers, with 2≤k≤n, and the Steiner k-diameter of Γ is defined by sdiamk(Γ)=max{ek(v)|v∈V(Γ)}. In this paper, we present an algorithm to derive the Steiner distance of a graph; in addition, we obtain a relationship between the Steiner k-diameter of a graph and its line graph. We study various properties of the Steiner diameter through a combinatorial approach. Moreover, we characterize graph Γ when sdiamk(Γ) is given, and we determine sdiamk(Γ) for some special graphs. We also discuss some of the appli...
Proceedings of the 27th annual ACM symposium on Computational geometry - SoCG '11, 2011
We consider a geometric optimization problem that arises in network design. Given a set P of n points in the plane, source and destination points s, t ∈ P , and an integer k > 0, one has to locate k Steiner points, such that the length of the longest edge of a bottleneck path between s and t is minimized. In this paper, we present an O(n log 2 n)-time algorithm that computes an optimal solution, for any constant k. This problem was previously studied by Hou et al. , who gave an O(n 2 log n)-time algorithm. We also study the dual version of the problem, where a value λ > 0 is given (instead of k), and the goal is to locate as few Steiner points as possible, so that the length of the longest edge of a bottleneck path between s and t is at most λ.
Graph-Theoretic Concepts in Computer Science, 2021
An additive +β spanner of a graph G is a subgraph which preserves distances up to an additive +β error. Additive spanners are well-studied in unweighted graphs but have only recently received attention in weighted graphs [Elkin et al. 2019 and 2020, Ahmed et al. 2020]. This paper makes two new contributions to the theory of weighted additive spanners. For weighted graphs, [Ahmed et al. 2020] provided constructions of sparse spanners with global error β = cW , where W is the maximum edge weight in G and c is constant. We improve these to local error by giving spanners with additive error +cW (s, t) for each vertex pair (s, t), where W (s, t) is the maximum edge weight along the shortest s-t path in G. These include pairwise +(2 + ε)W (•, •) and +(6 + ε)W (•, •) spanners over vertex pairs P ⊆ V × V on Oε(n|P| 1/3) and Oε(n|P| 1/4) edges for all ε > 0, which extend previously known unweighted results up to ε dependence, as well as an all-pairs +4W (•, •) spanner on O(n 7/5) edges. Besides sparsity, another natural way to measure the quality of a spanner in weighted graphs is by its lightness, defined as the total edge weight of the spanner divided by the weight of an MST of G. We provide a +εW (•, •) spanner with Oε(n) lightness, and a +(4 + ε)W (•, •) spanner with Oε(n 2/3) lightness. These are the first known additive spanners with nontrivial lightness guarantees. All of the above spanners can be constructed in polynomial time.
Computational Geometry, 2007
In this paper we investigate the relations between spanners, weak spanners, and power spanners in R D for any dimension D and apply our results to topology control in wireless networks. For c ∈ R, a c-spanner is a subgraph of the complete Euclidean graph satisfying the condition that between any two vertices there exists a path of length at most c-times their Euclidean distance. Based on this ability to approximate the complete Euclidean graph, sparse spanners have found many applications, e.g., in FPTAS, geometric searching, and radio networks. In a weak c-spanner, this path may be arbitrarily long, but must remain within a disk or sphere of radius c-times the Euclidean distance between the vertices. Finally in a c-power spanner, the total energy consumed on such a path, where the energy is given by the sum of the squares of the edge lengths on this path, must be at most c-times the square of the Euclidean distance of the direct edge or communication link. While it is known that any c-spanner is also both a weak C1-spanner and a C2-power spanner for appropriate C1, C2 depending only on c but not on the graph under consideration, we show that the converse is not true: there exists a family of c1-power spanners that are not weak C-spanners and also a family of weak c2-spanners that are not C-spanners for any fixed C. However a main result of this paper reveals that any weak c-spanner is also a C-power spanner for an appropriate constant C. We further generalize the latter notion by considering (c, δ)-power spanners where the sum of the δ-th powers of the lengths has to be bounded; so (c, 2)-power spanners coincide with the usual power spanners and (c, 1)-power spanners are classical spanners. Interestingly, these (c, δ)-power spanners form a strict hierarchy where the above results still hold for any δ ≥ D; some even hold for δ > 1 while counterexamples exist for δ < D. We show that every self-similar curve of fractal dimension D f > δ is not a (C, δ)-power spanner for any fixed C, in general. Finally, we consider the sparsified Yao-graph (SparsY-graph or YY) that is a well-known sparse topology for wireless networks. We prove that all SparsY-graphs are weak c-spanners for a constant c and hence they allow us to approximate energy-optimal wireless networks by a constant factor.
Networks, 1992
Let Q(n) be the n-dimensional hypercube, and X, a set of points in Q(n). The Steiner problem for the hypercube is to find the smallest possible number L(n,X) of edges in any subtree of Q(n) that spans X. We obtain the following results: (1) An exact formula for L(n,X), when IXI :S 5.
Journal of Discrete Algorithms, 2011
We study the problem of computing geometric spanners for (additively) weighted point sets. A weighted point set is a set of pairs (p, r) where p is a point in the plane and r is a real number. The distance between two points (p i , r i) and (p j , r j) is defined as |p i p j | − r i − r j. We show that in the case where all r i are positive numbers and |p i p j | ≥ r i + r j for all i, j (in which case the points can be seen as non-intersecting disks in the plane), a variant of the Yao graph is a (1 +)-spanner that has a linear number of edges. We also show that the Additively Weighted Delaunay graph (the face-dual of the Additively Weighted Voronoi diagram) has constant spanning ratio. The straight line embedding of the Additively Weighted Delaunay graph may not be a plane graph. We show how to compute a plane embedding that also has a constant spanning ratio.
Lecture Notes in Computer Science
Geometric spanner is a fundamental structure in computational geometry and plays an important role in many geometric networks design applications. In this paper, we consider the following generalized geometric spanner problem under L1 distance: Given a set of disjoint objects S, find a spanning network G with minimum size so that for any pair of points in different objects of S, there exists a path in G with length no more than t times their L1 distance, where t is the stretch factor. We specifically focus on three types of objects: rectilinear segments, axis aligned rectangles, and rectilinear polygons. By combining the ideas of t-weekly dominating set and imaginary Steiner points, we develop a 2-approximation algorithm for each type of objects. Our algorithms run in near quadratic time, and can be easily implemented for practical applications.
Časopis pro pěstování matematiky, 1989
Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This paper has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital Mathematics Library http://project.dml.cz
Discrete & Computational Geometry, 1994
We count the number of nonisomorphic geometric minimum spanning trees formed by adding a single point to an n-point set in d-dimensional space, by relating it to a family of convex decompositions of space. The O(n d log 2d2-d n) bound that we obtain significantly improves previously known bounds and is tight to within a polylogarithmic factor.
Designs, Codes and Cryptography, 2005
We introduce [k,d]-sparse geometries of cardinality n, which are natural generalizations of partial Steiner systems PS(t,k;n), with d=2(k−t+1). We will verify whether Steiner systems are characterised in the following way. (*) Let $\Gamma=(\mathcal{P},\mathcal{B})$ be a [k,2(k−t+1)]-sparse geometry of cardinality n, with $\frac{n+1}{2} \> k \> t \> 1$ . If $|\mathcal{B}| \ge {n \choose t}/{k \choose t}$ , then Γ is a S(t,k;n). If (*) holds for fixed parameters t, k and n, then we say S(t,k;n) satisfies, or has, characterisation (*). We could not prove (*) in general, but we prove the Theorems 1, 2, 3 and 4, which state conditions under which (*) is satisfied. Moreover, we verify characterisation (*) for every Steiner system appearing in list of the sporadic Steiner systems of small cardinality, and the list of infinite series of Steiner systems, both mentioned in the latest edition of the book ‘Design Theory’ by T. Beth, D. Jungnickel and H. Lenz. As an interesting application, one can use these results to build (almost) maximal binary codes in the following way. Every [k,d]-sparse geometry is associated with a [k,d]-sparse binary code of the same size (let $\mathcal{P} = \{ p_1, \ldots, p_n \}$ and link every block $B \in \mathcal{B}$ with the code word $(c_i)_{1 \le i \le n}$ where c i =1 if and only if the point p i is a member of B), so one can construct maximal [k,d]-sparse binary codes using (partial) Steiner systems. These [k,d]-sparse codes can then be used as building bricks for binary codes having a bigger variety of weights (the weight of a code word is the sum of its entries).
Information and Computation, 1997
A t-spanner of a graph G is a spanning subgraph H such that the distance between any two vertices in H is at most t times their distance in G. Spanners arise in the context of approximating the original graph by a sparse subgraph 23]. The MINIMUM t-SPANNER problem seeks to nd a t-spanner with the minimum number of edges for the given graph. In this paper, we completely settle the complexity status of this problem for various values of t, on Chordal graphs, Split graphs, Bipartite graphs and Convex Bipartite graphs. Our results settle an open question raised in 7] and also greatly simplify some of the proofs presented in 7, 8]. We also give a factor two approximation algorithm for the MINIMUM 2-SPANNER problem on interval graphs. Finally, we provide approximation algorithms for the bandwidth minimization problem on Convex Bipartite graphs and Split graphs using the notion of tree spanners.
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