http://jocg.org/index.php/jocg/issue/feedJournal of Computational Geometry2017-05-29T10:05:33-04:00Managing Editorsjocg@jocg.orgOpen Journal SystemsThe Journal of Computational Geometry (JoCG) is an international open access journal devoted to publishing original research of the highest quality in all aspects of computational geometry.<p>JoCG articles and supplementary data are freely available for download and JoCG charges no publishing fees of any kind.</p><p>All JoCG issues and articles are assigned a DOI. JoCG's data and content are safeguarded through <a href="/index.php/jocg/pages/view/backup">several backup mechanisms</a>.</p>http://jocg.org/index.php/jocg/article/view/289Approximating minimum-area rectangular and convex containers for packing convex polygons2017-05-29T10:03:43-04:00Helmut Altalt@mi.fu-berlin.deMark de Bergmdberg@win.tue.nlChristian Knauerchristian.knauer@uni-bayreuth.deWe investigate the problem of finding a minimum-area container for the disjoint packing of a set of convex polygons by translations. In particular, we consider axis-parallel rectangles or arbitrary convex sets as containers. For both optimization problems which are NP-hard we develop efficient constant factor approximation algorithms.2017-02-18T14:30:53-05:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/295Towards plane spanners of degree 32017-05-29T10:03:43-04:00Ahmad Biniazahmad.biniaz@gmail.comProsenjit Bosejit@scs.carleton.caJean-Lou De Carufeljdecaruf@uottawa.caCyril Gavoillegavoille@labri.frAnil Maheshwarianil@scs.carleton.caMichiel Smidmichiel@scs.carleton.ca<p>Let $S$ be a finite set of points in the plane. In this paper we consider the problem of computing plane spanners of degree at most three for $S$.</p><ol><li>If $S$ is in convex position, then we present an algorithm that constructs a plane $\frac{3+4\pi}{3}$-spanner for $S$ whose vertex degree is at most 3. </li><li>If $S$ is the vertex set of a non-uniform rectangular lattice, then we present an algorithm that constructs a plane $3\sqrt{2}$-spanner for $S$ whose vertex degree is at most 3. </li><li>If $S$ is in general position, then we show how to compute plane degree-3 spanners for $S$ with a linear number of Steiner points.</li></ol>2017-03-13T11:48:39-04:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/297On interference among moving sensors and related problems2017-05-29T10:03:43-04:00Jean-Lou De Carufeljdecaruf@uottawa.caMatthew J. Katzmatya@cs.bgu.ac.ilMatias Kormanmati@dais.is.tohoku.ac.jpAndré van Renssenandre@nii.ac.jpMarcel Roeloffzenmarcel@nii.ac.jpShakhar Smorodinskyshakhar@math.bgu.ac.il<p>We show that for any set of $n$ moving points in $\Re^d$ and any parameter $2 \le k \le n$, one can select a fixed non-empty subset of the points of size $O(k \log k)$, such that the Voronoi diagram of this subset is ``balanced'' at any given time (i.e., it contains $O(n/k)$ points per cell). We also show that the bound $O(k \log k)$ is near optimal even for the one dimensional case in which points move linearly in time. As an application, we show that one can assign communication radii to the sensors of a network of $n$ moving sensors so that at any given time, their interference is $O(\sqrt{n\log n})$. This is optimal up to an $O(\sqrt{\log n})$ factor. In order to obtain these results, we extend well-known results from $\varepsilon$-net theory to kinetic environments.</p>2017-04-25T09:08:54-04:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/280Counting and enumerating crossing-free geometric graphs2017-05-29T10:03:43-04:00Manuel Wettsteinmw@inf.ethz.ch<p>We describe a framework for constructing data structures which allow fast counting and enumeration of various types of crossing-free geometric graphs on a planar point set. The framework generalizes ideas of Alvarez and Seidel, who used them to count triangulations in time $O(2^nn^2)$ where $n$ is the number of points. The main idea is to represent geometric graphs as source-sink paths in a directed acyclic graph.</p><p>The following results will emerge. The number of all crossing-free geometric graphs can be computed in time $O(c^nn^4)$ for some $c < 2.83929$. The number of crossing-free convex partitions can be computed in time $O(2^nn^4)$. The number of crossing-free perfect matchings can be computed in time $O(2^nn^4)$. The number of convex subdivisions can be computed in time $O(2^nn^4)$. The number of crossing-free spanning trees can be computed in time $O(c^nn^4)$ for some $c < 7.04313$. The number of crossing-free spanning cycles can be computed in time $O(c^nn^4)$ for some $c < 5.61804$.</p><p>Moreover, after a preprocessing phase with the same time bounds as above, we can enumerate the respective classes efficiently. For example, after $O(2^nn^4)$ time of preprocessing we can enumerate the set of all crossing-free perfect matchings using polynomial time per enumerated object. For crossing-free perfect matchings and convex partitions we further obtain enumeration algorithms where the time delay for each (in particular, the first) output is bounded by a polynomial in $n$.</p><p>All described algorithms are comparatively simple, both in terms of their analysis and implementation.</p>2017-04-25T09:51:07-04:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/244The projection median as a weighted average2017-05-29T10:03:43-04:00Stephane Durocherdurocher@cs.umanitoba.caAlexandre Leblancalex.leblanc@umanitoba.caMatthew Skalamskala@ansuz.sooke.bc.caThe projection median of a set $P$ of $n$ points in $\mathbb{R}^d$ is a robust geometric generalization of the notion of univariate median to higher dimensions. In its original definition, the projection median is expressed as a normalized integral of the medians of the projections of $P$ onto all lines through the origin. We introduce a new definition in which the projection median is expressed as a weighted mean of $P$, and show the equivalence of the two definitions. In addition to providing a definition whose form is more consistent with those of traditional statistical estimators of location, this new definition for the projection median allows many of its geometric properties to be established more easily, as well as enabling new randomized algorithms that compute approximations of the projection median with increased accuracy and efficiency, reducing computation time from $O(n^{d+\epsilon})$ to $O(mnd)$, where $m$ denotes the number of random projections sampled. Selecting $m \in \Theta(\epsilon^{-2} d^2 \log n)$ or $m \in \Theta(\min ( d + \epsilon^{-2} \log n, \epsilon^{-2} n))$, suffices for our algorithms to return a point within relative distance $\epsilon$ of the true projection median with high probability, resulting in running times $O(d^3 n \log n)$ and $O(\min(d^2 n, d n^2))$ respectively, for any fixed $\epsilon$.2017-05-01T13:30:31-04:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/307Time-space trade-offs for triangulating a simple polygon2017-05-29T10:03:43-04:00Boris Aronovaronov.boris@gmail.comMatias Kormankorman@nii.ac.jpSimon PrattSimon.Pratt@uwaterloo.caAndré van Renssenandre@nii.ac.jpMarcel Roeloffzenmarcel@nii.ac.jp<p>An $s$-workspace algorithm is an algorithm that has read-only access to the values of the input, write-only access to the output, and only uses $O(s)$ additional words of space. We present a randomized $s$-workspace algorithm for triangulating a simple polygon $P$ of $n$ vertices that runs in $O(n^2/s+n \log n \log^{5} (n/s))$ expected time using $O(s)$ variables, for any $s \leq n$. In particular, when $s \leq \frac{n}{\log n\log^{5}\log n}$ the algorithm runs in $O(n^2/s)$ expected time.</p>2017-05-01T13:32:08-04:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/288Competitive local routing with constraints2017-05-29T10:03:43-04:00Prosenjit Bosejit@scs.carleton.caRolf Fagerbergrolf@imada.sdu.dkAndré van Renssenandre@nii.ac.jpSander Verdonschotsander@cg.scs.carleton.caLet $P$ be a set of $n$ vertices in the plane and $S$ a set of non-crossing line segments between vertices in $P$, called constraints. Two vertices are visible if the straight line segment connecting them does not properly intersect any constraints. The constrained $\Theta_m$-graph is constructed by partitioning the plane around each vertex into $m$ disjoint cones, each with aperture $\theta = 2 \pi/m$, and adding an edge to the `closest' visible vertex in each cone. We consider how to route on the constrained $\Theta_6$-graph. We first show that no deterministic 1-local routing algorithm is $o(\sqrt{n})$-competitive on all pairs of vertices of the constrained $\Theta_6$-graph. After that, we show how to route between any two visible vertices of the constrained $\Theta_6$-graph using only 1-local information. Our routing algorithm guarantees that the returned path has length at most 2 times the Euclidean distance between the source and destination. Additionally, we provide a 1-local 18-competitive routing algorithm for visible vertices in the constrained half-$\Theta_6$-graph, a subgraph of the constrained $\Theta_6$-graph that is equivalent to the Delaunay graph where the empty region is an equilateral triangle. To the best of our knowledge, these are the first local routing algorithms in the constrained setting with guarantees on the length of the returned path.2017-05-15T06:44:12-04:00Copyright (c) 2017 Journal of Computational Geometryhttp://jocg.org/index.php/jocg/article/view/271A new drawing for simple Venn diagrams based on algebraic construction2017-05-29T10:05:33-04:00Arnaud Bannierbannier@esiea.frNicolas Bodinbodin@esiea.frVenn diagrams are used to display all relations between a finite number of sets. Recent researches in this domain concern the mathematical aspects of these constructions, but are not directed towards the readability of the diagram. This article presents a new way to draw easy-to-read Venn diagrams, in which each region tends to be drawn with the same size when the number of sets grows, and tends to draw a grid. Finally, using linear algebra, we prove that this construction gives a simple Venn diagram for any number of sets.2017-05-29T10:02:04-04:00Copyright (c) 2017 Journal of Computational Geometry