Crossing Angles of Geometric Graphs Karin Arikushi 1 Csaba D
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Final Report (Sections B and C)
EuroGIGA Final report (Sections B and C) Deadline: 01/12/2014 Section B. Progress report B1. CRP progress and scientific highlights (max. 1500 words) 1. The collaborative work (c.400‐750 words) a. With reference to the CRP objectives and work plan, describe the work undertaken by the CRP and the contribution of each Individual Project to the collaboration in terms of its specific expertise and tasks/responsibilities. How closely did the partners work together? The work plan was divided into 13 work‐packages, each being supervised by one IP (some IPs were responsible for more work‐packages, these were those whose teams consisted of more sites – IP1‐CZ was responsible for WP01 (Prague) and WP08 (Brno) and IP2‐DE was responsible for WP02 (Wurzburg), WP10 (Berlin), WP11 (Dortmund) and WP12 (Tubingen)). The original work plan from the project proposal contained only 12 work‐packages, the last one was added during the life of the project when a new AP4 (Munster) was added. All teams responsible for particular work‐packages actively worked in their areas of proposed research, achieved many new results and published many scientific papers. But most importantly, mainly as a result of extensive networking activities, researchers from all IPs and APs actively collaborated and achieved results for different work‐packages. For instance, WP01 received contributions from IP1‐CZ, IP2‐DE, IP5‐PL and AP1‐IT, WP03 received contributions from IP2‐DE, IP3‐CH, AP1‐IT and AP3‐DE, and WP07 received contributions from IP1‐CZ, IP2‐DE, IP3‐CH and AP2‐NL. Each Individual Project contributed to at least two work‐packages. -
Lipics-Socg-2017-9.Pdf (0.9
A Universal Slope Set for 1-Bend Planar Drawings Patrizio Angelini1, Michael A. Bekos2, Giuseppe Liotta3, and Fabrizio Montecchiani4 1 Wilhelm-Schickhard-Institut für Informatik, Universität Tübingen, Tübingen, Germany [email protected] 2 Wilhelm-Schickhard-Institut für Informatik, Universität Tübingen, Tübingen, Germany [email protected] 3 Universitá degli Studi di Perugia, Perugia, Italy [email protected] 4 Universitá degli Studi di Perugia, Perugia, Italy [email protected] Abstract We describe a set of ∆−1 slopes that are universal for 1-bend planar drawings of planar graphs of maximum degree ∆ ≥ 4; this establishes a new upper bound of ∆ − 1 on the 1-bend planar slope number. By universal we mean that every planar graph of degree ∆ has a planar drawing with at most one bend per edge and such that the slopes of the segments forming the edges belong to the given set of slopes. This improves over previous results in two ways: Firstly, the best previously 3 known upper bound for the 1-bend planar slope number was 2 (∆ − 1) (the known lower bound 3 being 4 (∆ − 1)); secondly, all the known algorithms to construct 1-bend planar drawings with O(∆) slopes use a different set of slopes for each graph and can have bad angular resolution, while our algorithm uses a universal set of slopes, which also guarantees that the minimum angle π between any two edges incident to a vertex is (∆−1) . 1998 ACM Subject Classification G.2.1 Combinatorics, G.2.2 Graph Theory Keywords and phrases Slope number, 1-bend drawings, planar graphs, angular resolution Digital Object Identifier 10.4230/LIPIcs.SoCG.2017.9 1 Introduction This paper is concerned with planar drawings of graphs such that each edge is a poly-line with few bends, each segment has one of a limited set of possible slopes, and the drawing has good angular resolution, i.e. -
Visualizing Graphs: Optimization and Trade-Offs
Visualizing Graphs: Optimization and Trade-offs by Debajyoti Mondal A Thesis submitted to the Faculty of Graduate Studies of The University of Manitoba in partial fulfilment of the requirements of the degree of DOCTOR OF PHILOSOPHY Department of Computer Science University of Manitoba Winnipeg Copyright c 2016 by Debajyoti Mondal Thesis advisor Author Dr. Stephane Durocher Debajyoti Mondal Abstract Effective visualization of graphs is a powerful tool to help understand the rela- tionships among the graph’s underlying objects and to interact with them. Sev- eral styles for drawing graphs have emerged over the last three decades. Polyline drawing is a widely used style for drawing graphs, where each node is mapped to a distinct point in the plane and each edge is mapped to a polygonal chain between their corresponding nodes. Some common optimization criteria for such a drawing are defined in terms of area requirement, number of bends per edge, angular resolution, number of distinct line segments, edge crossings, and number of planar layers. In this thesis we develop algorithms for drawing graphs that optimize different aesthetic qualities of the drawing. Our algorithms seek to simultaneously opti- mize multiple drawing aesthetics, reveal potential trade-offs among them, and improve many previous graph drawing algorithms. We start by exploring probable trade-offs in the context of planar graphs. We prove that every n-vertex planar triangulation G with maximum degree D can be drawn with at most 2n + t 3 segments and O(8t D2t) area, where t is the − · number of leaves in a Schnyder tree of G. -
55 GRAPH DRAWING Emilio Di Giacomo, Giuseppe Liotta, Roberto Tamassia
55 GRAPH DRAWING Emilio Di Giacomo, Giuseppe Liotta, Roberto Tamassia INTRODUCTION Graph drawing addresses the problem of constructing geometric representations of graphs, and has important applications to key computer technologies such as soft- ware engineering, database systems, visual interfaces, and computer-aided design. Research on graph drawing has been conducted within several diverse areas, includ- ing discrete mathematics (topological graph theory, geometric graph theory, order theory), algorithmics (graph algorithms, data structures, computational geometry, vlsi), and human-computer interaction (visual languages, graphical user interfaces, information visualization). This chapter overviews aspects of graph drawing that are especially relevant to computational geometry. Basic definitions on drawings and their properties are given in Section 55.1. Bounds on geometric and topological properties of drawings (e.g., area and crossings) are presented in Section 55.2. Sec- tion 55.3 deals with the time complexity of fundamental graph drawing problems. An example of a drawing algorithm is given in Section 55.4. Techniques for drawing general graphs are surveyed in Section 55.5. 55.1 DRAWINGS AND THEIR PROPERTIES TYPES OF GRAPHS First, we define some terminology on graphs pertinent to graph drawing. Through- out this chapter let n and m be the number of graph vertices and edges respectively, and d the maximum vertex degree (i.e., number of edges incident to a vertex). GLOSSARY Degree-k graph: Graph with maximum degree d k. ≤ Digraph: Directed graph, i.e., graph with directed edges. Acyclic digraph: Digraph without directed cycles. Transitive edge: Edge (u, v) of a digraph is transitive if there is a directed path from u to v not containing edge (u, v). -
Drawing Graphs on Few Lines and Few Planes∗
Journal of Computational Geometry jocg.org DRAWING GRAPHS ON FEW LINES AND FEW PLANES∗ Steven Chaplick,yz Krzysztof Fleszar,§ Fabian Lipp,y{ Alexander Ravsky,k Oleg Verbitsky,∗∗ and Alexander Wolffyyy Abstract. We investigate the problem of drawing graphs in 2D and 3D such that their edges (or only their vertices) can be covered by few lines or planes. We insist on straight- line edges and crossing-free drawings. This problem has many relations to other challenging graph-drawing problems such as small-area or small-volume drawings, layered or track draw- ings, and drawing graphs with low visual complexity. While some facts about our problem are implicit in previous work, this is the first treatment of the problem in its full generality. Our contribution is as follows. – We show lower and upper bounds for the numbers of lines and planes needed for covering drawings of graphs in certain graph classes. In some cases our bounds are asymptotically tight; in some cases we are able to determine exact values. – We relate our parameters to standard combinatorial characteristics of graphs (such as the chromatic number, treewidth, or arboricity) and to parameters that have been studied in graph drawing (such as the track number or the number of segments ap- pearing in a drawing). – We pay special attention to planar graphs. For example, we show that there are planar graphs that can be drawn in 3-space on asymptotically fewer lines than in the plane. 1 Introduction It is well known that any graph admits a crossing-free straight-line drawing in 3-space. -
On the Complexity of the Planar Slope Number Problem Udo Hoffmann
Journal of Graph Algorithms and Applications http://jgaa.info/ vol. 21, no. 2, pp. 183{193 (2017) DOI: 10.7155/jgaa.00411 On the Complexity of the Planar Slope Number Problem Udo Hoffmann Universit´elibre de Bruxelles (ULB) Abstract The planar slope number of a planar graph G is defined as the min- imum number of slopes that is required for a crossing-free straight-line drawing of G. We show that determining the planar slope number is hard in the existential theory of the reals. We discuss consequences for drawings that minimize the planar slope number. Submitted: Reviewed: Revised: Accepted: Final: October 2016 December 2016 January 2017 January 2017 January 2017 Published: January 2017 Article type: Communicated by: Concise paper G. Liotta The results in this paper are part of the authors dissertation at TU Berlin [11], supported by the Deutsche Forschungsgemeinschaft within the research training group 'Methods for Discrete Structure' (GRK 1408). The results were presented at the Canadian Conference on Computational Geometry 2016. E-mail address: hoff[email protected] (Udo Hoffmann) 184 Udo Hoffmann On the Complexity of the Planar Slope Number Problem 1 Introduction The slope number of a non-degenerate straight-line drawing D of a graph G is defined to be the number of distinct slopes that is used to draw the edges of G in D. The minimum slope number of all straight-line drawings of G is the slope number of G. Similarly, the planar slope number of a planar graph G is the minimum slope number over all planar straight-line drawings of G. -
A Study on Slope Number of Certain Classes of Bipartite Graphs
International Journal of Engineering & Technology, 7 (4.10) (2018) 440-442 International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET Research paper A Study on Slope Number of Certain Classes of Bipartite Graphs A. Antony mary1*, A. Amutha , M.S. Franklin Thamil Selvi 1Assistant Professor, Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai, India. 2Assistant Professor, Department of Mathematics, The American College, Madurai, India 31Assistant Professor, Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai, India. *Corresponding author E-mail: [email protected],[email protected] Abstract Graph drawing is the most important area of mathematics and computer science which combines methods from geometric graph theory and information visualization. Generally, graphs are represented to explore some intellectual ideas. Graph drawing is the fa- miliar concept of graph theory. It has many quality measures and one among them is the slope number. Slope number problem is an optimization problem and is NP-hard to determine the slope number of any arbitrary graph. In the present paper, the investigation on slope number of bipartite graph is studied elaborately. Since the bipartite graphs creates one of the most intensively investigated clas- ses of graphs, we consider few classes of graphs and discussed structural behavior of such graphs. Keywords: crown graph; grid graph; hypercube; ladder graph; slope number; star graph; straight line drawing. 1. Introduction 2. Overview of the Paper: Graphs are objects that models social networks, communication A graph is an ordered pair G=(V(G), E(G)) where V(G) is the networks, social networks etc., and arises in other area of mathe- vertex set whose elements are vertices and E(G) is the edge set matics such as probability, geometry, number theory etc. -
Np-Completeness of Slope-Constrained Drawing of Complete Graphs
Journal of Computational Geometry jocg.org NP-COMPLETENESS OF SLOPE-CONSTRAINED DRAWING OF COMPLETE GRAPHS Cédric Pilatte∗† Abstract. We prove the NP-completeness of the following problem. Given a set S of n slopes and an integer k ≥ 1, is it possible to draw a complete graph on k vertices in the plane using only slopes from S? Equivalently, does there exist a set K of k points in general position such that the slope of every segment between two points of K is in S? We then present a polynomial-time algorithm for this question when n ≤ 2k − c, conditional on a conjecture of R.E. Jamison. For n = k, an algorithm in O(n4) was proposed by Wade and Chu. For this case, our algorithm is linear and does not rely on Jamison’s conjecture. Keywords – Computational Complexity, Discrete Geometry. 1 Introduction A straight-line drawing of an undirected graph G is a representation of G in the plane using distinct points for the vertices of G and line segments for the edges. The segments are allowed to intersect, but not to overlap, meaning that no segment may pass through a non- incident vertex. The slope of a line l is denoted by slp(l) 2 R [ f1g. If A is a set of points, we write slp(A) for the set of all slopes determined by A, i.e. slp(A) = fslp(A1A2) j A1;A2 2 A; A1 6= A2g: The number of slopes used in a straight-line drawing is the number of distinct slopes of the segments in the drawing. -
The Complexity of Drawing Graphs on Few Lines and Few Planes
The Complexity of Drawing Graphs on Few Lines and Few Planes Steven Chaplick ∗ Krzysztof Fleszary Fabian Lipp z Alexander Ravsky x Oleg Verbitsky{ Alexander Wolffk September 5, 2018 Abstract 3 It is well known that any graph admits a crossing-free straight-line drawing in R and 2 that any planar graph admits the same even in R . For a graph G and d 2 f2; 3g, 1 d let ρd(G) denote the minimum number of lines in R that together can cover all edges of a drawing of G. For d = 2, G must be planar. We investigate the complexity of computing these parameters and obtain the following hardness and algorithmic results. 1 • For d 2 f2; 3g, we prove that deciding whether ρd(G) ≤ k for a given graph G and integer k is 9R-complete. 1 • Since NP ⊆ 9R, deciding ρd(G) ≤ k is NP-hard for d 2 f2; 3g. On the positive side, we show that the problem is fixed-parameter tractable with respect to k. 1 1 • Since 9R ⊆ PSPACE, both ρ2(G) and ρ3(G) are computable in polynomial space. 1 On the negative side, we show that drawings that are optimal with respect to ρ2 1 or ρ3 sometimes require irrational coordinates. 2 3 • Let ρ3(G) be the minimum number of planes in R needed to cover a straight-line 2 drawing of a graph G. We prove that deciding whether ρ3(G) ≤ k is NP-hard for any fixed k ≥ 2. Hence, the problem is not fixed-parameter tractable with respect to k unless P = NP. -
Universal Slope Sets for 1-Bend Planar Drawings
Universal Slope Sets for 1-Bend Planar Drawings Patrizio Angelini1 Michael A. Bekos1 Giuseppe Liotta2 Fabrizio Montecchiani2 1Wilhelm-Schickhard-Institut f¨urInformatik, Universit¨atT¨ubingen,Germany fangelini,[email protected] 2Universit´adegli Studi di Perugia, Italy fgiuseppe.liotta, [email protected] September 11, 2018 Abstract We describe a set of ∆ − 1 slopes that are universal for 1-bend planar drawings of planar graphs of maximum degree ∆ ≥ 4; this establishes a new upper bound of ∆ − 1 on the 1-bend planar slope number. By universal we mean that every planar graph of degree ∆ has a planar drawing with at most one bend per edge and such that the slopes of the segments forming the edges belong to the given set of slopes. This improves over previous results in two ways: Firstly, the best previously known upper bound for the 1-bend planar slope 3 3 number was 2 (∆ − 1) (the known lower bound being 4 (∆ − 1)); secondly, all the known algorithms to construct 1-bend planar drawings with O(∆) slopes use a different set of slopes for each graph and can have bad angular resolution, while our algorithm uses a universal set of slopes, which also guarantees that the minimum angle between any two edges incident to π a vertex is (∆−1) . 1 Introduction This paper is concerned with planar drawings of graphs such that each edge is a poly-line with few bends, each segment has one of a limited set of possible slopes, and the drawing has good angular resolution, i.e. it forms large angles between consecutive edges incident on a common vertex. -
Complexity of Graph Drawing Problems in Relation to the Existential Theory of the Reals
Complexity of Graph Drawing Problems in Relation to the Existential Theory of the Reals Bachelor Thesis of Nicholas Bieker At the Department of Informatics Institute of Theoretical Informatics Reviewers: Prof. Dr. Torsten Ueckerdt Prof. Dr. Peter Sanders Advisors: Paul Jungeblut Time Period: 22nd April 2020 – 21st August 2020 KIT – The Research University in the Helmholtz Association www.kit.edu Statement of Authorship Ich versichere wahrheitsgemäß, die Arbeit selbstständig verfasst, alle benutzten Hilfsmittel vollständig und genau angegeben und alles kenntlich gemacht zu haben, was aus Arbeiten anderer unverändert oder mit Abänderungen entnommen wurde sowie die Satzung des KIT zur Sicherung guter wissenschaftlicher Praxis in der jeweils gültigen Fassung beachtet zu haben. Karlsruhe, August 20, 2020 iii Abstract The Existential Theory of the Reals consists of true sentences of formulas of polyno- mial equations and inequalities over real variables that are existentially quantified. The corresponding decision problem ETR asks if a given formula of this structure is true. Similar to the relation between SAT and NP, the complexity class ∃R is defined as the problems that are polynomially transformable into ETR. We first classify ∃R as a class inbetween NP and PSPACE and present a machine modell equivalent to ∃R. Then we take a look at multiple ∃R-complete variants of ETR that are commonly used as a basis for ∃R-completeness proofs. We investigate many of these proofs for problems from a graph drawing background and find a framework that starts at an ∃R-complete restriction of ETR called ETR-INV, or its planar variants. After that, we apply this framework to conduct our own ∃R completeness proof for the problem DrawingOnSegments where we are given a graph G and an arrangement of segments and have to draw the graph on the segments in a planar way. -
Planar and Plane Slope Number of Partial 2-Trees
Planar and Plane Slope Number of Partial 2-Trees William Lenhart1, Giuseppe Liotta2, Debajyoti Mondal3, and Rahnuma Islam Nishat4 1Department of Computer Science, Williams College, MA, USA 2Dipartimento di Ingegneria Elettronica e dell’Informazione, Universita’ degli Studi di Perugia, Italy 3Department of Computer Science, University of Manitoba, Canada 4Department of Computer Science, University of Victoria, Canada [email protected], [email protected], [email protected], [email protected] Abstract. We prove tight bounds (up to a small multiplicative or additive con- stant) for the plane and the planar slope numbers of partial 2-trees of bounded degree. As a byproduct of our techniques, we answer a long standing question by Garg and Tamassia about the angular resolution of the planar straight-line draw- ings of series-parallel graphs of bounded degree. 1 Introduction A drawing of a graph G in R2 maps each vertex of G to a point and each edge of G to a Jordan arc such that an edge does not contain a vertex other than its endpoints, no edge crosses itself, edges do not meet tangentially, and edges sharing a common end-vertex do not cross each other. A planar graph is a graph that admits a planar drawing, i.e. a drawing such that no two edges intersect except at their common end-points. A plane graph is a planar graph together with a combinatorial embedding, i.e. a prescribed set of faces including a prescribed outer face. A plane drawing of a plane graph G is a planar drawing that realizes the combinatorial embedding of G.