Cubic Planar Graphs That Cannot Be Drawn on Few Lines David Eppstein Computer Science Department, University of California, Irvine, USA [email protected]
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Geometric Algorithms for Optimal Airspace Design and Air Traffic
Geometric Algorithms for Optimal Airspace Design and Air Traffic Controller Workload Balancing AMITABH BASU Carnegie Mellon University JOSEPH S. B. MITCHELL Stony Brook University and GIRISHKUMAR SABHNANI Stony Brook University The National Airspace System (NAS) is designed to accommodate a large number of flights over North America. For purposes of workload limitations for air traffic controllers, the airspace is partitioned into approximately 600 sectors; each sector is observed by one or more controllers. In order to satisfy workload limitations for controllers, it is important that sectors be designed carefully according to the traffic patterns of flights, so that no sector becomes overloaded. We formulate and study the airspace sectorization problem from an algorithmic point of view, model- ing the problem of optimal sectorization as a geometric partition problem with constraints. The novelty of the problem is that it partitions data consisting of trajectories of moving points, rather than static point set partitioning that is commonly studied. First, we formulate and solve the 1D version of the problem, showing how to partition a line into “sectors” (intervals) according to historical trajectory data. Then, we apply the 1D solution framework to design a 2D sectoriza- tion heuristic based on binary space partitions. We also devise partitions based on balanced “pie partitions” of a convex polygon. We evaluate our 2D algorithms experimentally, applying our algorithms to actual historical flight track data for the NAS. We compare the workload balance of our methods to that of the existing set of sectors for the NAS and find that our resectorization yields competitive and improved workload balancing. -
Coloring Copoints of a Planar Point Set
Coloring Copoints of a Planar Point Set Walter Morris Department of Mathematical Sciences George Mason University 4400 University Drive, Fairfax, VA 22030, USA Abstract To a set of n points in the plane, one can associate a graph that has less than n2 vertices and has the property that k-cliques in the graph correspond vertex sets of convex k-gons in the point set. We prove an upper bound of 2k¡1 on the size of a planar point set for which the graph has chromatic number k, matching the bound con- jectured by Szekeres for the clique number. Constructions of Erd}os and Szekeres are shown to yield graphs that have very low chromatic number. The constructions are carried out in the context of pseudoline arrangements. 1 Introduction Let X be a ¯nite set of points in IR2. We will assume that X is in general position, that is, no three points of X are on a line. A subset C of X is called closed if C = K \ X for some convex subset K of IR2. The set C of closed subsets of X, partially ordered by inclusion, is a lattice. If x 2 X and A is a closed subset of X that does not contain x and is inclusion-maximal among all closed subsets of X that do not contain x, then A is called a copoint of X attached to x. In the more general context of antimatroids, or convex geometries, co- points have been studied in [1], [2] and [3]. It is shown in these references that every copoint is attached to a unique point of X, and that the copoints are the meet-irreducible elements of the lattice of closed sets. -
30 ARRANGEMENTS Dan Halperin and Micha Sharir
30 ARRANGEMENTS Dan Halperin and Micha Sharir INTRODUCTION Given a finite collection of geometric objects such as hyperplanes or spheres in Rd, the arrangement ( S) is the decomposition of Rd into connected open cells of dimensions 0, 1,...,d AinducedS by . Besides being interesting in their own right, ar- rangements of hyperplanes have servedS as a unifying structure for many problems in discrete and computational geometry. With the recent advances in the study of arrangements of curved (algebraic) surfaces, arrangements have emerged as the underlying structure of geometric problems in a variety of “physical world” applica- tion domains such as robot motion planning and computer vision. This chapter is devoted to arrangements of hyperplanes and of curved surfaces in low-dimensional Euclidean space, with an emphasis on combinatorics and algorithms. In the first section we introduce basic terminology and combinatorics of ar- rangements. In Section 30.2 we describe substructures in arrangements and their combinatorial complexity. Section 30.3 deals with data structures for representing arrangements and with special refinements of arrangements. The following two sections focus on algorithms: algorithms for constructing full arrangements are described in Section 30.4, and algorithms for constructing substructures in Sec- tion 30.5. In Section 30.6 we discuss the relation between arrangements and other structures. Several applications of arrangements are reviewed in Section 30.7. Sec- tion 30.8 deals with robustness issues when implementing algorithms and data structures for arrangements and Section 30.9 surveys software implementations. We conclude in Section 30.10 with a brief review of Davenport-Schinzel sequences, a combinatorial structure that plays an important role in the analysis of arrange- ments. -
Arrangements of Approaching Pseudo-Lines
Arrangements of Approaching Pseudo-Lines Stefan Felsner∗1, Alexander Pilzy2, and Patrick Schnider3 1Institut f¨urMathematik, Technische Universit¨atBerlin, [email protected] 2Institute of SoftwareTechnology, Graz University of Technology, Austria, [email protected] 3Department of Computer Science, ETH Z¨urich, Switzerland, [email protected] January 24, 2020 Abstract We consider arrangements of n pseudo-lines in the Euclidean plane where each pseudo-line `i is represented by a bi-infinite connected x-monotone curve fi(x), x 2 R, s.t. for any two pseudo-lines `i and `j with i < j, the function x 7! fj (x) − fi(x) is monotonically decreasing and surjective (i.e., the pseudo-lines approach each other until they cross, and then move away from each other). We show that such arrangements of approaching pseudo-lines, under some aspects, behave similar to arrangements of lines, while for other aspects, they share the freedom of general pseudo-line arrangements. For the former, we prove: • There are arrangements of pseudo-lines that are not realizable with approaching pseudo-lines. • Every arrangement of approaching pseudo-lines has a dual generalized configura- tion of points with an underlying arrangement of approaching pseudo-lines. For the latter, we show: 2 • There are 2Θ(n ) isomorphism classes of arrangements of approaching pseudo-lines (while there are only 2Θ(n log n) isomorphism classes of line arrangements). • It can be decided in polynomial time whether an allowable sequence is realizable by an arrangement of approaching pseudo-lines. Furthermore, arrangements of approaching pseudo-lines can be transformed into each arXiv:2001.08419v1 [cs.CG] 23 Jan 2020 other by flipping triangular cells, i.e., they have a connected flip graph, and every bichromatic arrangement of this type contains a bichromatic triangular cell. -
Arrangements of Approaching Pseudo-Lines
1 Arrangements of Approaching Pseudo-Lines ∗1 †2 3 2 Stefan Felsner , Alexander Pilz , and Patrick Schnider 1 3 Institut f¨urMathematik, Technische Universit¨atBerlin, 4 [email protected] 2 5 Institute of SoftwareTechnology, Graz University of Technology, Austria, 6 [email protected] 3 7 Department of Computer Science, ETH Z¨urich, Switzerland, 8 [email protected] 9 August 23, 2020 10 Abstract 11 We consider arrangements of n pseudo-lines in the Euclidean plane where each 12 pseudo-line `i is represented by a bi-infinite connected x-monotone curve fi(x), x 2 R, 13 such that for any two pseudo-lines `i and `j with i < j, the function x 7! fj (x)−fi(x) is 14 monotonically decreasing and surjective (i.e., the pseudo-lines approach each other until 15 they cross, and then move away from each other). We show that such arrangements of 16 approaching pseudo-lines, under some aspects, behave similar to arrangements of lines, 17 while for other aspects, they share the freedom of general pseudo-line arrangements. 18 For the former, we prove: 19 • There are arrangements of pseudo-lines that are not realizable with approaching 20 pseudo-lines. 21 • Every arrangement of approaching pseudo-lines has a dual generalized configura- 22 tion of points with an underlying arrangement of approaching pseudo-lines. 23 For the latter, we show: Θ(n2) 24 • There are 2 isomorphism classes of arrangements of approaching pseudo-lines Θ(n log n) 25 (while there are only 2 isomorphism classes of line arrangements). -
5 PSEUDOLINE ARRANGEMENTS Stefan Felsner and Jacob E
5 PSEUDOLINE ARRANGEMENTS Stefan Felsner and Jacob E. Goodman INTRODUCTION Pseudoline arrangements generalize in a natural way arrangements of straight lines, discarding the straightness aspect, but preserving their basic topological and com- binatorial properties. Elementary and intuitive in nature, at the same time, by the Folkman-Lawrence topological representation theorem (see Chapter 6), they provide a concrete geometric model for oriented matroids of rank 3. After their explicit description by Levi in the 1920’s, and the subsequent devel- opment of the theory by Ringel in the 1950’s, the major impetus was given in the 1970’s by Gr¨unbaum’s monograph Arrangements and Spreads, in which a number of results were collected and a great many problems and conjectures posed about arrangements of both lines and pseudolines. The connection with oriented ma- troids discovered several years later led to further work. The theory is by now very well developed, with many combinatorial and topological results and connections to other areas as for example algebraic combinatorics, as well as a large number of applications in computational geometry. In comparison to arrangements of lines arrangements of pseudolines have the advantage that they are more general and allow for a purely combinatorial treatment. Section 5.1 is devoted to the basic properties of pseudoline arrangements, and Section 5.2 to related structures, such as arrangements of straight lines, configura- tions (and generalized configurations) of points, and allowable sequences of permu- tations. (We do not discuss the connection with oriented matroids, however; that is included in Chapter 6.) In Section 5.3 we discuss the stretchability problem. -
The Graph Crossing Number and Its Variants: a Survey
The Graph Crossing Number and its Variants: A Survey Marcus Schaefer School of Computing DePaul University Chicago, Illinois 60604, USA [email protected] Submitted: Dec 20, 2011; Accepted: Apr 4, 2013; Published: April 17, 2013 Third edition, Dec 22, 2017 Mathematics Subject Classifications: 05C62, 68R10 Abstract The crossing number is a popular tool in graph drawing and visualization, but there is not really just one crossing number; there is a large family of crossing number notions of which the crossing number is the best known. We survey the rich variety of crossing number variants that have been introduced in the literature for purposes that range from studying the theoretical underpinnings of the crossing number to crossing minimization for visualization problems. 1 So, Which Crossing Number is it? The crossing number, cr(G), of a graph G is the smallest number of crossings required in any drawing of G. Or is it? According to a popular introductory textbook on combi- natorics [460, page 40] the crossing number of a graph is “the minimum number of pairs of crossing edges in a depiction of G”. So, which one is it? Is there even a difference? To start with the second question, the easy answer is: yes, obviously there is a differ- ence, the difference between counting all crossings and counting pairs of edges that cross. But maybe these different ways of counting don’t make a difference and always come out the same? That is a harder question to answer. Pach and Tóth in their paper “Which Crossing Number is it Anyway?” [369] coined the term pair crossing number, pcr, for the crossing number in the second definition. -
No Slide Title
The ILP approach to the layered graph drawing Ago Kuusik Veskisilla Teooriapäevad 1-3.10.2004 1 Outline Introduction Hierarchical drawing & Sugiyama algorithm Linear Programming (LP) and Integer Linear Programming (ILP) Multi-level crossing minimisation ILP Maximum level planar subgraph ILP 2 Graphs Set of vertices V (real world: entities) Set of edges E ::= pairs of vertices (real world: relations) Directed graph: E ::= set of ordered pairs of vertices 3 Graph drawing Started to grow in 1960s, aim – software understanding Now, used in number of areas, for example – Software engineering (call graphs, class diagrams, database schemas) – Social studies (relationship diagrams) – Chemistry (molecular structures) 4 Graph drawing Definition: Given a graph G=(V, E), represent the graph on a plane: – Vertices – closed shapes – Edges – Jordan curves between vertex shapes (Jordan curve = a closed curve that does not intersect itself) 5 Aesthetic criteria General Application-specific – Min. number of edge – Specific vertex crossings shapes (E-R – Uniform edge diagram) direction (directed – Specific vertex graph) locations (class – Min. number of edge hierarchy) bends – Min. area 6 Hierachical drawing Given: a directed acyclic graph (A cyclic graph can be converted acyclic by reversing some edges; minimum feedback arc set is NP hard) Objective: – Uniform edge direction – Min. Number of edge crossings 7 Sugiyama algorithm Published by Sugiyama, Tagawa, Toda 1981 Vertices are placed on discrete layers Edges have uniform direction Edges connect vertices of adjacent layers Reduced edge crossings Overall balance of vertex locations 8 0. random layout 1. layering 2. sorting on layers 3. final positioning 9 1. Layering Assign vertices to discrete layers so that the edges point to common direction – Longest path layering, shortest path layering: simple DFS algorithms – Coffman-Graham layering – constrains the width of the drawing – ILP approaches (Nikolov, 2002) 10 Proper and non-proper layering Proper Non-Proper Dummy vertex 11 2. -
Eindhoven University of Technology MASTER Lateral Stiffness Of
Eindhoven University of Technology MASTER Lateral stiffness of hexagrid structures de Meijer, J.H.M. Award date: 2012 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain ‘Lateral Stiffness of Hexagrid Structures’ - Master’s thesis – - Main report – - A 2012.03 – - O 2012.03 – J.H.M. de Meijer 0590897 July, 2012 Graduation committee: Prof. ir. H.H. Snijder (supervisor) ir. A.P.H.W. Habraken dr.ir. H. Hofmeyer Eindhoven University of Technology Department of the Built Environment Structural Design Preface This research forms the main part of my graduation thesis on the lateral stiffness of hexagrids. It explores the opportunities of a structural stability system that has been researched insufficiently. -
Regular Totally Separable Sphere Packings Arxiv:1506.04171V1
Regular Totally Separable Sphere Packings Samuel Reid∗ September 5, 2018 Abstract The topic of totally separable sphere packings is surveyed with a focus on regular constructions, uniform tilings, and contact number problems. An enumeration of all 2 3 4 regular totally separable sphere packings in R , R , and R which are based on convex uniform tessellations, honeycombs, and tetracombs, respectively, is presented, as well d as a construction of a family of regular totally separable sphere packings in R that is not based on a convex uniform d-honeycomb for d ≥ 3. Keywords: sphere packings, hyperplane arrangements, contact numbers, separability. MSC 2010 Subject Classifications: Primary 52B20, Secondary 14H52. 1 Introduction In the 1940s, P. Erd¨osintroduced the notion of a separable set of domains in the plane, which gained the attention of H. Hadwiger in [1]. G.F. T´othand L.F. T´othextended this notion to totally separable domains and proved the densest totally separable arrangement of congruent copies of a domain is given by a lattice packing of the domains generated by the side-vectors of a parallelogram of least area containing a domain [2]. Totally separable domains are also mentioned by G. Kert´eszin [3], where it is proved that a cube of volume V contains a totally separable set of N balls of radius r with V ≥ 8Nr3. Further results and references regarding separability can be found in a manuscript of J. Pach and G. Tardos [4]. arXiv:1506.04171v1 [math.MG] 6 Jun 2015 This manuscript continues the study of separability in the context of regular unit sphere packings, i.e., infinite sets of unit spheres 1 [ d−1 P = xi + S i=1 ∗University of Calgary, Centre for Computational and Discrete Geometry (Department of Math- ematics & Statistics), and Thangadurai Group (Department of Chemistry), Calgary, AB, Canada. -
On Layered Drawings of Planar Graphs
On Layered Drawings of Planar Graphs Bachelor Thesis of Sarah Lutteropp At the Department of Informatics Institute of Theoretical Computer Science Reviewers: Prof. Dr. Maria Axenovich Prof. Dr. Dorothea Wagner Advisors: Dipl.-Inform. Thomas Bläsius Dr. Tamara Mchedlidze Dr. Torsten Ueckerdt Time Period: 28th January 2014 – 28th May 2014 KIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association www.kit.edu Acknowledgements I would like to thank my advisors Thomas Bläsius, Dr. Tamara Mchedlidze and Dr. Torsten Ueckerdt for their great support in form of many hours of discussion, useful ideas and extensive commenting on iterative versions. It was not trivial to find a topic and place for a combined mathematics and computer science thesis and I am grateful to Prof. Dr. Dorothea Wagner, who allowed me to write my thesis at her institute. I would also like to thank Prof. Dr. Dorothea Wagner and Prof. Dr. Maria Axenovich for grading my thesis. Last but not least, I would like to thank all my proofreaders (supervisors included) for giving last-minute comments on my thesis. Statement of Authorship I hereby declare that this document has been composed by myself and describes my own work, unless otherwise acknowledged in the text. Karlsruhe, 28th May 2014 iii Abstract A graph is k-level planar if it admits a planar drawing in which each vertex is mapped to one of k horizontal parallel lines and the edges are drawn as non-crossing y-monotone line segments between these lines. It is not known whether the decision problem of a graph being k-level planar is solvable in polynomial time complexity (in P) or not. -
Chapter 11 Line Arrangements
Chapter 11 Line Arrangements During the course of this lecture we encountered several situations where it was conve- nient to assume that a point set is “in general position”. In the plane, general position usually amounts to no three points being collinear and/or no four of them being cocircu- lar. This raises an algorithmic question: How can we test for n given points whether or not three of them are collinear? Obviously, we can test all triples in O(n3) time. Can we do better? Yes, we can! Using a detour through the so-called dual plane, we will see that this problem can be solved in O(n2) time. However, the exact algorithmic complexity of this innocent-looking problem is not known. In fact, to determine this complexity is one of the major open problems in theoretical computer science. We will get back to the complexity theoretic problems and ramifications at the end of this chapter. But first let us discuss how to obtain a quadratic time algorithm to test whether n given points in the plane are in general position. This algorithm is a nice ap- plication of the projective duality transform, as defined below. Such transformations are very useful because they allow us to gain a new perspective on a problem by formulating it in a different but equivalent form. Sometimes such a dual form of the problem is easier to work with and—given that it is equivalent to the original primal form—any solution to the dual problem can be translated back into a solution to the primal problem.