Illuminating Triangles and Quadrilaterals with Vertex Floodlights
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Studies on Kernels of Simple Polygons
UNLV Theses, Dissertations, Professional Papers, and Capstones 5-1-2020 Studies on Kernels of Simple Polygons Jason Mark Follow this and additional works at: https://digitalscholarship.unlv.edu/thesesdissertations Part of the Computer Sciences Commons Repository Citation Mark, Jason, "Studies on Kernels of Simple Polygons" (2020). UNLV Theses, Dissertations, Professional Papers, and Capstones. 3923. http://dx.doi.org/10.34917/19412121 This Thesis is protected by copyright and/or related rights. It has been brought to you by Digital Scholarship@UNLV with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in UNLV Theses, Dissertations, Professional Papers, and Capstones by an authorized administrator of Digital Scholarship@UNLV. For more information, please contact [email protected]. STUDIES ON KERNELS OF SIMPLE POLYGONS By Jason A. Mark Bachelor of Science - Computer Science University of Nevada, Las Vegas 2004 A thesis submitted in partial fulfillment of the requirements for the Master of Science - Computer Science Department of Computer Science Howard R. Hughes College of Engineering The Graduate College University of Nevada, Las Vegas May 2020 © Jason A. Mark, 2020 All Rights Reserved Thesis Approval The Graduate College The University of Nevada, Las Vegas April 2, 2020 This thesis prepared by Jason A. -
Second Rapport Intermédiaire
Compte-rendu intermédiaire 01/04/2016-31/03/2107 Projet ANR- AA-PPPP-000 Cirmath Circulations des mathématiques dans et par les journaux : histoire, territoires et publics Programme xxxxx 200x A IDENTIFICATION ................................................................ 3 B LIVRABLES ET JALONS ......................................................... 4 C RAPPORT D’AVANCEMENT SUR LA PERIODE CONCERNEE (01/04/16- 31/03/17) .................................................................... 6 C.1 Description des travaux effectués ............................................. 6 C.1.1 Rappel : Une présentation rapide du programme de recherche de Cirmath 6 C.1.2 Le séminaire Cirmath 7 C.1.3 Les colloques Cirmath 7 C.1.4 La base de données des journaux mathématiques - Cirmath-data 8 C.1.5 Conclusion 11 C.2 Résultats marquants (si applicable) ........................................ 11 C.3 Réunions du consortium (si applicable) ................................... 11 C.4 Commentaires libres............................................................. 12 D IMPACT DU PROJET DEPUIS LE DEBUT ...................................... 13 D.1 Indicateurs d’impact ............................................................. 13 D.2 Liste des publications et communications ................................ 14 Référence du formulaire : ANR-FORM-090601-02-01 D.2.1 Liste des publications et communications directement liées au projet Cirmath. 14 D.2.2 Liste des publications et communications des membres du projet Cirmath ayant trait à la thématique de la circulation -
Simple Polygons Scribe: Michael Goldwasser
CS268: Geometric Algorithms Handout #5 Design and Analysis Original Handout #15 Stanford University Tuesday, 25 February 1992 Original Lecture #6: 28 January 1991 Topics: Triangulating Simple Polygons Scribe: Michael Goldwasser Algorithms for triangulating polygons are important tools throughout computa- tional geometry. Many problems involving polygons are simplified by partitioning the complex polygon into triangles, and then working with the individual triangles. The applications of such algorithms are well documented in papers involving visibility, motion planning, and computer graphics. The following notes give an introduction to triangulations and many related definitions and basic lemmas. Most of the definitions are based on a simple polygon, P, containing n edges, and hence n vertices. However, many of the definitions and results can be extended to a general arrangement of n line segments. 1 Diagonals Definition 1. Given a simple polygon, P, a diagonal is a line segment between two non-adjacent vertices that lies entirely within the interior of the polygon. Lemma 2. Every simple polygon with jPj > 3 contains a diagonal. Proof: Consider some vertex v. If v has a diagonal, it’s party time. If not then the only vertices visible from v are its neighbors. Therefore v must see some single edge beyond its neighbors that entirely spans the sector of visibility, and therefore v must be a convex vertex. Now consider the two neighbors of v. Since jPj > 3, these cannot be neighbors of each other, however they must be visible from each other because of the above situation, and thus the segment connecting them is indeed a diagonal. -
EUROPEAN MATHEMATICAL SOCIETY EDITOR-IN-CHIEF ROBIN WILSON Department of Pure Mathematics the Open University Milton Keynes MK7 6AA, UK E-Mail: [email protected]
CONTENTS EDITORIAL TEAM EUROPEAN MATHEMATICAL SOCIETY EDITOR-IN-CHIEF ROBIN WILSON Department of Pure Mathematics The Open University Milton Keynes MK7 6AA, UK e-mail: [email protected] ASSOCIATE EDITORS VASILE BERINDE Department of Mathematics, University of Baia Mare, Romania e-mail: [email protected] NEWSLETTER No. 47 KRZYSZTOF CIESIELSKI Mathematics Institute March 2003 Jagiellonian University Reymonta 4 EMS Agenda ................................................................................................. 2 30-059 Kraków, Poland e-mail: [email protected] Editorial by Sir John Kingman .................................................................... 3 STEEN MARKVORSEN Department of Mathematics Executive Committee Meeting ....................................................................... 4 Technical University of Denmark Building 303 Introducing the Committee ............................................................................ 7 DK-2800 Kgs. Lyngby, Denmark e-mail: [email protected] An Answer to the Growth of Mathematical Knowledge? ............................... 9 SPECIALIST EDITORS Interview with Vagn Lundsgaard Hansen .................................................. 15 INTERVIEWS Steen Markvorsen [address as above] Interview with D V Anosov .......................................................................... 20 SOCIETIES Krzysztof Ciesielski [address as above] Israel Mathematical Union ......................................................................... 25 EDUCATION Tony Gardiner -
HENRI BROCARD (1865) UN INGÉNIEUR SAVANT DU Xixe SIÈCLE
OCTOBRE 2015 • LA JAUNE ET LA ROUGE 36 PARCOURS TRAJECTOIRES PAULINE ROMERA-LEBRET chercheur associé au Groupe d’histoire et diffusion des sciences d’Orsay (GHDSO) HENRI BROCARD (1865) UN INGÉNIEUR SAVANT DU XIXe SIÈCLE Dans une nécrologie d’Henri Brocard 1, on peut lire que sa curiosité s’étendait « à de nombreux domaines : sciences naturelles, économie rurale, météorologie », même si « c’est surtout comme mathématicien qu’il s’est fait un nom » et s’il vouait une passion à la bibliographie. Henri Brocard 2 est un exemple d’ingénieur-savant du XIXe siècle, à savoir un polytechnicien à la charnière entre la théorie et la pratique mais aussi entre les mathématiques et la physique. DR Brocard fournit sur son temps libre une importante production mathématique, en particulier sur la nouvelle géométrie du triangle. ENRI BROCARD est né le 12 mai au 2e régiment de Montpellier, il fait 1845 dans une petite commune ensuite un bref passage dans l’armée H de la Meuse, à quarante kilo- du Rhin. Il participe à ses premières mètres de Bar-le-Duc. Il entre à campagnes pendant la guerre franco- l’École polytechnique allemande de 1870. en 1865 puis rejoint le Il est fait prison- Corps des ingénieurs « Durant trente-sept ans nier lors de la de l’armée française. défaite de Sedan. En 1869, après deux dans l’armée, il participe Il fait aussi par- années d’études à à onze campagnes » tie de la colonne l’École d’application, de Sétif lors de il est nommé lieute- la révolte des nant en second du Génie. -
Maximum-Area Rectangles in a Simple Polygon∗
Maximum-Area Rectangles in a Simple Polygon∗ Yujin Choiy Seungjun Leez Hee-Kap Ahnz Abstract We study the problem of finding maximum-area rectangles contained in a polygon in the plane. There has been a fair amount of work for this problem when the rectangles have to be axis-aligned or when the polygon is convex. We consider this problem in a simple polygon with n vertices, possibly with holes, and with no restriction on the orientation of the rectangles. We present an algorithm that computes a maximum-area rectangle in O(n3 log n) time using O(kn2) space, where k is the number of reflex vertices of P . Our algorithm can report all maximum-area rectangles in the same time using O(n3) space. We also present a simple algorithm that finds a maximum-area rectangle contained in a convex polygon with n vertices in O(n3) time using O(n) space. 1 Introduction Computing a largest figure of a certain prescribed shape contained in a container is a fundamental and important optimization problem in pattern recognition, computer vision and computational geometry. There has been a fair amount of work for finding rectangles of maximum area contained in a convex polygon P with n vertices in the plane. Amenta showed that an axis-aligned rectangle of maximum area can be found in linear time by phrasing it as a convex programming problem [3]. Assuming that the vertices are given in order along the boundary of P , stored in an array or balanced binary search tree in memory, Fischer and Höffgen gave O(log2 n)-time algorithm for finding an axis-aligned rectangle of maximum area contained in P [9]. -
University of Houston – Math Contest Project Problem, 2012 Simple Equilateral Polygons and Regular Polygonal Wheels School
University of Houston – Math Contest Project Problem, 2012 Simple Equilateral Polygons and Regular Polygonal Wheels School Name: _____________________________________ Team Members The Project is due at 8:30am (during onsite registration) on the day of the contest. Each project will be judged for precision, presentation, and creativity. Place the team solution in a folder with this page as the cover page, a table of contents, and the solutions. Solve as many of the problems as possible. A polygon is said to be simple if its boundary does not cross itself. A polygon is equilateral if all of its sides have the same length. The sides of a polygon are line segments joining particular vertices of the polygon, and quite often, it is necessary to specify the vertices of a polygon, even if a figure is given. For example, consider the simple polygon shown below. In the absence of additional information, we naturally assume that this simple polygon has 4 vertices and 4 sides. However, it is possible that there are more vertices and sides. Consider the two views below of figures with the same shape, with the vertices showing. The first of these has an additional vertex, and consequently an additional side (it really is possible for 2 sides to be adjacent and collinear). For this reason, whenever referring to a simple polygon, we will either clearly plot the vertices, or list them. We assume the reader understands the difference between the interior and the exterior of a simple polygon, as well as the idea of traversing the boundary of a simple polygon in a counter- clockwise orientation . -
6A. Mathematics
19-th Century ROMANTIC AGE Mathematics Collected and edited by Prof. Zvi Kam, Weizmann Institute, Israel The 19th century is called “Romantic” because of the romantic trend in literature, music and arts opposing the rationalism of the 18th century. The romanticism adored individualism, folklore and nationalism and distanced itself from the universality of humanism and human spirit. Coming back to nature replaced the superiority of logics and reasoning human brain. In Literature: England-Lord byron, Percy Bysshe Shelly Germany –Johann Wolfgang von Goethe, Johann Christoph Friedrich von Schiller, Immanuel Kant. France – Jean-Jacques Rousseau, Alexandre Dumas (The Hunchback from Notre Dam), Victor Hugo (Les Miserable). Russia – Alexander Pushkin. Poland – Adam Mickiewicz (Pan Thaddeus) America – Fennimore Cooper (The last Mohican), Herman Melville (Moby Dick) In Music: Germany – Schumann, Mendelsohn, Brahms, Wagner. France – Berlioz, Offenbach, Meyerbeer, Massenet, Lalo, Ravel. Italy – Bellini, Donizetti, Rossini, Puccini, Verdi, Paganini. Hungary – List. Czech – Dvorak, Smetana. Poland – Chopin, Wieniawski. Russia – Mussorgsky. Finland – Sibelius. America – Gershwin. Painters: England – Turner, Constable. France – Delacroix. Spain – Goya. Economics: 1846 - The American Elias Howe Jr. builds the general purpose sawing machine, launching the clothing industry. 1848 – The communist manifest by Karl Marks & Friedrich Engels is published. Describes struggle between classes and replacement of Capitalism by Communism. But in the sciences, the Romantic era was very “practical”, and established in all fields the infrastructure for the modern sciences. In Mathematics – Differential and Integral Calculus, Logarithms. Theory of functions, defined over Euclidian spaces, developed the field of differential equations, the quantitative basis of physics. Matrix Algebra developed formalism for transformations in space and time, both orthonormal and distortive, preparing the way to Einstein’s relativity. -
Areas and Shapes of Planar Irregular Polygons
Forum Geometricorum b Volume 18 (2018) 17–36. b b FORUM GEOM ISSN 1534-1178 Areas and Shapes of Planar Irregular Polygons C. E. Garza-Hume, Maricarmen C. Jorge, and Arturo Olvera Abstract. We study analytically and numerically the possible shapes and areas of planar irregular polygons with prescribed side-lengths. We give an algorithm and a computer program to construct the cyclic configuration with its circum- circle and hence the maximum possible area. We study quadrilaterals with a self-intersection and prove that not all area minimizers are cyclic. We classify quadrilaterals into four classes related to the possibility of reversing orientation by deforming continuously. We study the possible shapes of polygons with pre- scribed side-lengths and prescribed area. In this paper we carry out an analytical and numerical study of the possible shapes and areas of general planar irregular polygons with prescribed side-lengths. We explain a way to construct the shape with maximum area, which is known to be the cyclic configuration. We write a transcendental equation whose root is the radius of the circumcircle and give an algorithm to compute the root. We provide an algorithm and a corresponding computer program that actually computes the circumcircle and draws the shape with maximum area, which can then be deformed as needed. We study quadrilaterals with a self-intersection, which are the ones that achieve minimum area and we prove that area minimizers are not necessarily cyclic, as mentioned in the literature ([4]). We also study the possible shapes of polygons with prescribed side-lengths and prescribed area. -
A Linear Time Algorithm for the Minimum Area Rectangle Enclosing a Convex Polygon
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Purdue E-Pubs Purdue University Purdue e-Pubs Department of Computer Science Technical Reports Department of Computer Science 1983 A Linear Time Algorithm for the Minimum Area Rectangle Enclosing a Convex Polygon Dennis S. Arnon John P. Gieselmann Report Number: 83-463 Arnon, Dennis S. and Gieselmann, John P., "A Linear Time Algorithm for the Minimum Area Rectangle Enclosing a Convex Polygon" (1983). Department of Computer Science Technical Reports. Paper 382. https://docs.lib.purdue.edu/cstech/382 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. 1 A LINEAR TIME ALGORITHM FOR THE MINIMUM AREA RECfANGLE ENCLOSING A CONVEX POLYGON by Dennis S. Amon Computer Science Department Purdue University West Lafayette, Indiana 479Cf7 John P. Gieselmann Computer Science Department Purdue University West Lafayette, Indiana 47907 Technical Report #463 Computer Science Department - Purdue University December 7, 1983 ABSTRACT We give an 0 (n) algorithm for constructing the rectangle of minimum area enclosing an n-vcrtex convex polygon. Keywords: computational geometry, geomelric approximation, minimum area rectangle, enclosing rectangle, convex polygons, space planning. 2 1. introduction. The problem of finding a rectangle of minimal area that encloses a given polygon arises, for example, in algorithms for the cutting stock problem and the template layout problem (see e.g [4} and rID. In a previous paper, Freeman and Shapira [2] show that the minimum area enclosing rectangle ~or an arbitrary (simple) polygon P is the minimum area enclosing rectangle Rp of its convex hull. -
National Library •••
From the shelves of the National Library ••• The Penguin Dictionary of curios and interesting geometry, by David Wells. Penguin. ISBN 0-14-011813-6. Reviewed by Chan Sing Chun This book is out of the ordinary in the sense that we do not have to read it from cover to cover. It is a dictionary of geometrical facts. It starts off with an introduction, a chronological list of mathematicians and a bibliography, and finally the dictionary (276 pages) itself, followed by an index. For example if you are interested in knowing what the "japanese Theorem" is all about, look it up here. Let the author explain: japanese theorem. johnson records this japanese theorem, typical of its period, exhibited in a temple to the glory of the gods and the discoverer, dated about 1800. Draw a convex polygon in a circle, and divide it into triangles. Inscribe a circle in each triangle. Then the sum of the radii of all the circles is independent of the vertex from which the triangulation starts. Any triangulation will do: the sum in the second figure is the same as the sum in the first. Reference: R. A. Johnson, Advanced Euclidean Geometry, Dover, New York, 1960. The proof is not given in the book and unfortunately the reference by R. A. johnson is not available in the National Library. Next, interested in knowing what "Brocard points of a triangle" are? Here is what the author says: Brocard points of a triangle. Named after Henri Brocard, a French army officer, who described them in 1875 . However, they had been studied earlier by jacobi, and also by Crelle, in 1816, who was led to exclaim, 'It is indeed wonderful that so simple a figure as the triangle is so inexhaustible in properties. -
30 POLYGONS Joseph O’Rourke, Subhash Suri, and Csaba D
30 POLYGONS Joseph O'Rourke, Subhash Suri, and Csaba D. T´oth INTRODUCTION Polygons are one of the fundamental building blocks in geometric modeling, and they are used to represent a wide variety of shapes and figures in computer graph- ics, vision, pattern recognition, robotics, and other computational fields. By a polygon we mean a region of the plane enclosed by a simple cycle of straight line segments; a simple cycle means that nonadjacent segments do not intersect and two adjacent segments intersect only at their common endpoint. This chapter de- scribes a collection of results on polygons with both combinatorial and algorithmic flavors. After classifying polygons in the opening section, Section 30.2 looks at sim- ple polygonizations, Section 30.3 covers polygon decomposition, and Section 30.4 polygon intersection. Sections 30.5 addresses polygon containment problems and Section 30.6 touches upon a few miscellaneous problems and results. 30.1 POLYGON CLASSIFICATION Polygons can be classified in several different ways depending on their domain of application. In chip-masking applications, for instance, the most commonly used polygons have their sides parallel to the coordinate axes. GLOSSARY Simple polygon: A closed region of the plane enclosed by a simple cycle of straight line segments. Convex polygon: The line segment joining any two points of the polygon lies within the polygon. Monotone polygon: Any line orthogonal to the direction of monotonicity inter- sects the polygon in a single connected piece. Star-shaped polygon: The entire polygon is visible from some point inside the polygon. Orthogonal polygon: A polygon with sides parallel to the (orthogonal) coordi- nate axes.