87 research outputs found

    Optimal Morphs of Convex Drawings

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    We give an algorithm to compute a morph between any two convex drawings of the same plane graph. The morph preserves the convexity of the drawing at any time instant and moves each vertex along a piecewise linear curve with linear complexity. The linear bound is asymptotically optimal in the worst case.Comment: To appear in SoCG 201

    Steinitz Theorems for Orthogonal Polyhedra

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    We define a simple orthogonal polyhedron to be a three-dimensional polyhedron with the topology of a sphere in which three mutually-perpendicular edges meet at each vertex. By analogy to Steinitz's theorem characterizing the graphs of convex polyhedra, we find graph-theoretic characterizations of three classes of simple orthogonal polyhedra: corner polyhedra, which can be drawn by isometric projection in the plane with only one hidden vertex, xyz polyhedra, in which each axis-parallel line through a vertex contains exactly one other vertex, and arbitrary simple orthogonal polyhedra. In particular, the graphs of xyz polyhedra are exactly the bipartite cubic polyhedral graphs, and every bipartite cubic polyhedral graph with a 4-connected dual graph is the graph of a corner polyhedron. Based on our characterizations we find efficient algorithms for constructing orthogonal polyhedra from their graphs.Comment: 48 pages, 31 figure

    A Universal Slope Set for 1-Bend Planar Drawings

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    We describe a set of Delta-1 slopes that are universal for 1-bend planar drawings of planar graphs of maximum degree Delta>=4; this establishes a new upper bound of Delta-1 on the 1-bend planar slope number. By universal we mean that every planar graph of degree Delta 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 number was 3/2(Delta-1) (the known lower bound being 3/4(Delta-1)); secondly, all the known algorithms to construct 1-bend planar drawings with O(Delta) 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 a vertex is pi/(Delta-1)

    Edge Partitions of Optimal 22-plane and 33-plane Graphs

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    A topological graph is a graph drawn in the plane. A topological graph is kk-plane, k>0k>0, if each edge is crossed at most kk times. We study the problem of partitioning the edges of a kk-plane graph such that each partite set forms a graph with a simpler structure. While this problem has been studied for k=1k=1, we focus on optimal 22-plane and 33-plane graphs, which are 22-plane and 33-plane graphs with maximum density. We prove the following results. (i) It is not possible to partition the edges of a simple optimal 22-plane graph into a 11-plane graph and a forest, while (ii) an edge partition formed by a 11-plane graph and two plane forests always exists and can be computed in linear time. (iii) We describe efficient algorithms to partition the edges of a simple optimal 22-plane graph into a 11-plane graph and a plane graph with maximum vertex degree 1212, or with maximum vertex degree 88 if the optimal 22-plane graph is such that its crossing-free edges form a graph with no separating triangles. (iv) We exhibit an infinite family of simple optimal 22-plane graphs such that in any edge partition composed of a 11-plane graph and a plane graph, the plane graph has maximum vertex degree at least 66 and the 11-plane graph has maximum vertex degree at least 1212. (v) We show that every optimal 33-plane graph whose crossing-free edges form a biconnected graph can be decomposed, in linear time, into a 22-plane graph and two plane forests

    Orthogonal Graph Drawing with Inflexible Edges

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    We consider the problem of creating plane orthogonal drawings of 4-planar graphs (planar graphs with maximum degree 4) with constraints on the number of bends per edge. More precisely, we have a flexibility function assigning to each edge ee a natural number flex(e)\mathrm{flex}(e), its flexibility. The problem FlexDraw asks whether there exists an orthogonal drawing such that each edge ee has at most flex(e)\mathrm{flex}(e) bends. It is known that FlexDraw is NP-hard if flex(e)=0\mathrm{flex}(e) = 0 for every edge ee. On the other hand, FlexDraw can be solved efficiently if flex(e)1\mathrm{flex}(e) \ge 1 and is trivial if flex(e)2\mathrm{flex}(e) \ge 2 for every edge ee. To close the gap between the NP-hardness for flex(e)=0\mathrm{flex}(e) = 0 and the efficient algorithm for flex(e)1\mathrm{flex}(e) \ge 1, we investigate the computational complexity of FlexDraw in case only few edges are inflexible (i.e., have flexibility~00). We show that for any ε>0\varepsilon > 0 FlexDraw is NP-complete for instances with O(nε)O(n^\varepsilon) inflexible edges with pairwise distance Ω(n1ε)\Omega(n^{1-\varepsilon}) (including the case where they induce a matching). On the other hand, we give an FPT-algorithm with running time O(2knTflow(n))O(2^k\cdot n \cdot T_{\mathrm{flow}}(n)), where Tflow(n)T_{\mathrm{flow}}(n) is the time necessary to compute a maximum flow in a planar flow network with multiple sources and sinks, and kk is the number of inflexible edges having at least one endpoint of degree 4.Comment: 23 pages, 5 figure

    New Algorithm for Drawings of 3-Planar Graphs

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    Graphs arise in a natural way in many applications, together with the need to be drawn. Except for very small instances, drawing a graph by hand becomes a very complex task, which must be performed by automatic tools. The field of graph drawing is concerned with finding algorithms to draw graph in an aesthetically pleasant way, based upon a certain number of aesthetic criteria that define what a good drawing, (synonyms: diagrams, pictures, layouts), of a graph should be. This problem can be found in many such as in the computer networks, data networks, class inter-relationship diagrams in object oriented databases and object oriented programs, visual programming interfaces, database design systems, software engineering…etc. Given a plane graph G, we wish to find a drawing of G in the plane such that the vertices of G are represented as grid points, and the edges are represented as straight-line segments between their endpoints without any edge-intersection. Such drawings are called planar straight-line drawings of G. An additional objective is to minimize the area of the rectangular grid in which G is drawn. In this paper we introduce a new algorithms that finds an embedding of 3-planar graph. Keywords: 3- Planar Graph; Graph Drawing; drawing on grid

    Upward and Orthogonal Planarity are W[1]-hard Parameterized by Treewidth

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    Upward planarity testing and Rectilinear planarity testing are central problems in graph drawing. It is known that they are both NP-complete, but XP when parameterized by treewidth. In this paper we show that these two problems are W[1]-hard parameterized by treewidth, which answers open problems posed in two earlier papers. The key step in our proof is an analysis of the All-or-Nothing Flow problem, a generalization of which was used as an intermediate step in the NP-completeness proof for both planarity testing problems. We prove that the flow problem is W[1]-hard parameterized by treewidth on planar graphs, and that the existing chain of reductions to the planarity testing problems can be adapted without blowing up the treewidth. Our reductions also show that the known nO(tw)n^{O(tw)}-time algorithms cannot be improved to run in time no(tw)n^{o(tw)} unless ETH fails.Comment: Appears in the Proceedings of the 31st International Symposium on Graph Drawing and Network Visualization (GD 2023

    Morphing Planar Graph Drawings Optimally

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    We provide an algorithm for computing a planar morph between any two planar straight-line drawings of any nn-vertex plane graph in O(n)O(n) morphing steps, thus improving upon the previously best known O(n2)O(n^2) upper bound. Further, we prove that our algorithm is optimal, that is, we show that there exist two planar straight-line drawings Γs\Gamma_s and Γt\Gamma_t of an nn-vertex plane graph GG such that any planar morph between Γs\Gamma_s and Γt\Gamma_t requires Ω(n)\Omega(n) morphing steps
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