PS Computational Geometry Homework Assignment Sheet I (Due 16-March-2018)

Similar documents
CS S Lecture February 13, 2017

Voronoi Diagrams and Delaunay Triangulation slides by Andy Mirzaian (a subset of the original slides are used here)

CS 532: 3D Computer Vision 14 th Set of Notes

Chapter 8. Voronoi Diagrams. 8.1 Post Oce Problem

3. Voronoi Diagrams. 3.1 Definitions & Basic Properties. Examples :

Week 8 Voronoi Diagrams

2 Geometry Solutions

CS133 Computational Geometry

Voronoi Diagrams and Delaunay Triangulations. O Rourke, Chapter 5

Other Voronoi/Delaunay Structures

Voronoi diagram and Delaunay triangulation

Lifting Transform, Voronoi, Delaunay, Convex Hulls

Polygon Triangulation. (slides partially by Daniel Vlasic )

Polygon Partitioning. Lecture03

6.854J / J Advanced Algorithms Fall 2008

Acute Triangulations of Polygons

Lecture 16: Voronoi Diagrams and Fortune s Algorithm

High-Dimensional Computational Geometry. Jingbo Shang University of Illinois at Urbana-Champaign Mar 5, 2018

Triangulation and Convex Hull. 8th November 2018

Art Gallery, Triangulation, and Voronoi Regions

CHAPTER 2 REVIEW COORDINATE GEOMETRY MATH Warm-Up: See Solved Homework questions. 2.2 Cartesian coordinate system

Section 12.1 Translations and Rotations

Computational Geometry

Voronoi Diagrams in the Plane. Chapter 5 of O Rourke text Chapter 7 and 9 of course text

In what follows, we will focus on Voronoi diagrams in Euclidean space. Later, we will generalize to other distance spaces.

MATH 113 Section 8.2: Two-Dimensional Figures

Objectives: (What You ll Learn) Identify and model points, lines, planes Identify collinear and coplanar points, intersecting lines and planes

FIGURES FOR SOLUTIONS TO SELECTED EXERCISES. V : Introduction to non Euclidean geometry

Module Four: Connecting Algebra and Geometry Through Coordinates

ON THE EMPTY CONVEX PARTITION OF A FINITE SET IN THE PLANE**

Geometry R. Unit 12 Coordinate Geometry. Day Classwork Day Homework Wednesday 3/7 Thursday 3/8 Friday 3/9

Voronoi diagrams Delaunay Triangulations. Pierre Alliez Inria

VORONOI DIAGRAM PETR FELKEL. FEL CTU PRAGUE Based on [Berg] and [Mount]

Computational Geometry: Lecture 5

Fortune s Algorithm. Notes from the book by de Berg, Van Krevald, Overmars, and Schwarzkpf

Advanced Algorithms Computational Geometry Prof. Karen Daniels. Fall, 2012

Polygon Triangulation. (slides partially by Daniel Vlasic )

Flavor of Computational Geometry. Voronoi Diagrams. Shireen Y. Elhabian Aly A. Farag University of Louisville

arxiv: v1 [cs.cg] 8 Jan 2018

Lecture 3: Art Gallery Problems and Polygon Triangulation

DEFINITIONS. Perpendicular Two lines are called perpendicular if they form a right angle.

Computational Geometry

Computational Geometry

Combinatorics and Combinatorial Geometry by: Adrian Tang math.ucalgary.ca

The Cut Locus and the Jordan Curve Theorem

Course Number: Course Title: Geometry

EQUATIONS OF ALTITUDES, MEDIANS, and PERPENDICULAR BISECTORS

Unit Activity Correlations to Common Core State Standards. Geometry. Table of Contents. Geometry 1 Statistics and Probability 8

Notes in Computational Geometry Voronoi Diagrams

Connected Components of Underlying Graphs of Halving Lines

CMPS 3130/6130 Computational Geometry Spring Voronoi Diagrams. Carola Wenk. Based on: Computational Geometry: Algorithms and Applications

Voronoi Diagrams. A Voronoi diagram records everything one would ever want to know about proximity to a set of points

Delaunay Triangulations

NAEP Released Items Aligned to the Iowa Core: Geometry

Welcome to Pre-AP Geometry. Summer Homework

Preferred directions for resolving the non-uniqueness of Delaunay triangulations

Mathematics High School Geometry An understanding of the attributes and relationships of geometric objects can be applied in diverse contexts

Geometric Computations for Simulation

Planar Graphs. 1 Graphs and maps. 1.1 Planarity and duality

GEOMETRY CURRICULUM MAP

Computational Geometry. Geometry Cross Product Convex Hull Problem Sweep Line Algorithm

GEOMETRY HONORS COORDINATE GEOMETRY PACKET

Geometry. Cluster: Experiment with transformations in the plane. G.CO.1 G.CO.2. Common Core Institute

Common Core Specifications for Geometry

Section Congruence Through Constructions

2-1 Transformations and Rigid Motions. ENGAGE 1 ~ Introducing Transformations REFLECT

CS3621 Midterm Solution (Fall 2005) 150 points

VI GEOMETRICAL OLYMPIAD IN HONOUR OF I.F.SHARYGIN THE CORRESPONDENCE ROUND. SOLUTIONS

Mathematics High School Geometry

Unit 13: Periodic Functions and Trig

7. The Gauss-Bonnet theorem

Computational Geometry. Algorithm Design (10) Computational Geometry. Convex Hull. Areas in Computational Geometry

MATH 890 HOMEWORK 2 DAVID MEREDITH

Chapter 1. Linear Equations and Straight Lines. 2 of 71. Copyright 2014, 2010, 2007 Pearson Education, Inc.

Name. Geometry Honors. Unit 1 Coordinate Geometry. Practice Packet

WHAT YOU SHOULD LEARN

PS Geometric Modeling Homework Assignment Sheet I (Due 20-Oct-2017)

The equal tangents property

Get Ready. Solving Equations 1. Solve each equation. a) 4x + 3 = 11 b) 8y 5 = 6y + 7

Computational Geometry

TOURNAMENT OF THE TOWNS, Glossary

CS 373: Combinatorial Algorithms, Fall Name: Net ID: Alias: U 3 / 4 1

Optimal Compression of a Polyline with Segments and Arcs

Constrained Delaunay Triangulations (CDT)

CURRICULUM GUIDE. Honors Geometry

Math 460: Homework # 6. Due Monday October 2

2D Geometry. Pierre Alliez Inria Sophia Antipolis

Polygon decomposition. Motivation: Art gallery problem

Computational Geometry

Angles of Polygons. Essential Question What is the sum of the measures of the interior angles of a polygon?

EXTREME POINTS AND AFFINE EQUIVALENCE

7 Voronoi Diagrams. The Post Office Problem

Standards to Topics. Common Core State Standards 2010 Geometry

Math 308, Section 101 Solutions to Study Questions for Final Exam (Thursday, December 16, 2004)

Chapter 2 Similarity and Congruence

Geometry Common Core State Standard (CCSS) Math

The Farthest Point Delaunay Triangulation Minimizes Angles

BMO Round 1 Problem 6 Solutions

Algorithmische Geometrie Voronoi Diagram

Prof. Gill Barequet. Center for Graphics and Geometric Computing, Technion. Dept. of Computer Science The Technion Haifa, Israel

Transcription:

Homework Assignment Sheet I (Due 16-March-2018) Assignment 1 Let f, g : N R with f(n) := 8n + 4 and g(n) := 1 5 n log 2 n. Prove explicitly that f O(g) and f o(g). Assignment 2 How can you generalize the sweep-line approach (for line-segment intersection) to full lines rather than just line segments? Does it make sense from a complexity point of view? Assignment 3 We consider two line segments ab and cd in R 2. We say that ab an cd have a proper intersection if there exists exactly one point q {a, b, c, d} such that q ab and q cd. Prove that ab and cd have a proper intersection if and only if and where sign(det(a, b, c)) sign(det(a, b, d)) = 1 sign(det(c, d, a)) sign(det(c, d, b)) = 1, det(u, v, w) := det u x u y 1 v x v y 1 w x w y 1 denotes the signed area of the triangle (u, v, w), and sign(x) denotes the sign of a real number x. (Recall: The signed area of (u, v, w) is positive if and only if the points u, v, w are oriented in a counter-clockwise manner.)

Homework Assignment Sheet II (Due 23-March-2018) Assignment 4 Let L be a set of n line segments in the plane which may share common endpoints but do not intersect otherwise. Let V denote the set of m endpoints of the segments of L and suppose that they are indexed according to lexicographic order. An endpoint v j V is regarded as dead end relative to L if there do not exist indices i and k such that (1) i < j < k and (2) v i v j L and v j v k L. Your task is to add a set L of additional line segments such that 1. all endpoints of L belong to V, 2. no v j V is a dead end relative to L L for all 1 < j < m, 3. no line segment of L L intersects another line segment of L L, except for possibly sharing a common endpoint, 4. L is minimum. Try to devise an algorithm that solves this problem in O(n log n) time and O(n) space. (You are welcome to make reasonable GPA assumptions, such as that no two endpoints of V have the same y-coordinate.) Assignment 5 Prove that the vertical distance between two parallel lines g and h equals the length of the line segment g h. Assignment 6 Consider the parabola y = x2 2 is the tangent to the parabola at p. and a point p on this parabola. Prove that p

Homework Assignment Sheet III (Due 20-April-2018) Assignment 7 For a vector v := (v x, v y ) R 2 we define its (canonical) normal vector as n(v) := ( v y, v x ). Consider two points a, b R 2, with a b, and let ab be the direction vector from a to b of the oriented line through a, b. We say that a point c lies left of this oriented line if it lies in the half-space into which n(ab) points. Prove that c lies left of this oriented line if and only if det(a, b, c) > 0. Assignment 8 Prove constructively that the convex hull of a y-monotone polygonal chain P := (p 1, p 2,..., p n ), with n vertices in R 2, can be computed in O(n) time. (Please do try not resort to general-purpose O(n) algorithms for computing the convex hull of an arbitrary polygon!) Assignment 9 Let P be a set of n d + 2 points in R d. Prove that there exists a partition of P into sets P 1, P 2 such that CH(P 1 ) and CH(P 2 ) intersect. (Hint: You may want to recall that any set of (d + 1) vectors in R d admits a non-trivial linear combination that yields the zero vector. This allows to construct a partition of P into P 1 and P 2 such that CH(P 1 ) and CH(P 2 ) intersect.)

Homework Assignment Sheet IV (Due 27-April-2018) Assignment 10 Let L be a set of n line segments in the plane. Let V denote the set of m endpoints of the segments of L and suppose that they are indexed according to lexicographic order. An endpoint v j V is regarded as dead end relative to L if there do not exist indices i and k such that (1) i < j < k and (2) v i v j L and v j v k L. Your task is to add a set L of additional line segments such that 1. all endpoints of L belong to V, 2. no v j V is a dead end relative to L L for all 1 < j < m, 3. L is minimum. Please make sure that your algorithm solves this problem in O(n) time and O(n) space. (You are welcome to make reasonable GPA assumptions.) Assignment 11 Let L be a set of n line segments in the plane which may share common endpoints but do not intersect otherwise. Let V denote the set of m endpoints of the segments of L and suppose that they are indexed according to lexicographic order. An endpoint v j V is regarded as dead end relative to L if there do not exist indices i and k such that (1) i < j < k and (2) v i v j L and v j v k L. Your task is to add a set L of additional line segments such that 1. all endpoints of L belong to V, 2. no v j V is a dead end relative to L L for all 1 < j < m, 3. no line segment of L L intersects another line segment of L L, except for possibly sharing a common endpoint, 4. L 2 OP T, where OP T is the minimum number of line segments that need to be added in order to fulfill the first three requirements. Please make sure that your algorithm solves this problem in O(n log n) time and O(n) space. (You are welcome to make reasonable GPA assumptions.) Assignment 12 Show that a point can be the nearest neighbor of at most six other points in R 2.

Homework Assignment Sheet V (Due 04-May-2018) Assignment 13 Explain how VD(S) can be obtained from DT (S) and how DT (S) can be obtained from VD(S) in O(n) time, for every set S of n points in the plane. (You don t need to come up with actual formulas, say for the Voronoi nodes, but should be able to explain how one could compute the Voronoi nodes and obtain an appropriate (graph) representation of DT (S) and VD(S).) Assignment 14 A polygonal chain P (in the plane) is called monotone with respect to a straight line l if every line orthogonal to l intersects P in at most one point. Devise an O(n) algorithm to check whether there exists a line l such that a given chain P with n vertices is monotone relative to l. If P is monotone then your algorithm should also determine a suitable line l. Assignment 15 Consider Fortune s sweep-line algorithm for computing the Voronoi diagram of point sites: What is the maximum number of disjoint parabolic arcs in the beach line that are defined by the same site? (The exact number is sought, no O-term!)

Homework Assignment Sheet VI (Due 18-May-2018) Assignment 16 In the lecture we discussed how the Voronoi diagram of points in R 2 can be computed by regarding R 2 as the xy-plane of R 3 and doing computations in R 3. (Recall Slides 185 187.) Your task is to mimic these approaches in R 1 and compute VD(S) by regarding R 1 as the x-axis of R 2, for S := { 1, 0, 2, 4}. (Of course, in this setting the Voronoi diagram consists only of some isolated Voronoi nodes.) Assignment 17 Draw the bisectors in the L 2, L 1 and L metric of the following pairs of points: (0, 2) and (4, 0); (4, 0) and (8, 0); (8, 0) and (12, 4). Draw also the Voronoi diagram of all points for the L 2 metric. (Of course, the bisectors for L 1 and L are defined as in the L 2 case, just with another interpretation of the distance d(, ).) Assignment 18 Consider a set S of n points in R 2 and suppose that all inter-point distances are distinct. A point q S is an east-northeast neighbor of p S, with p q, if 1. the y coordinate of q is greater than or equal to the y-coordinate of p, 2. the supporting line of the edge (p, q) has a slope between 0 and 1. Define a graph G with vertex set S by adding an edge between each point and its nearest east-northeast neighbor. Now add edges to G between each point and its nearest neighbor to the north-northeast, north-northwest, west-northwest, etc. (for all eight possibilities). Prove that G contains all edges of the EMST of S. (Of course, you are welcome to make a reasonable general-position assumption.)

Homework Assignment Sheet VII (Due 25-May-2018) Assignment 19 Consider the computation of a straight skeleton based on wavefront propagation and a kinetic triangulation, and prove that it suffices to solve a second-degree polynomial equation in order to obtain the collapse times of a kinetic triangle. Assignment 20 Sketch the Voronoi regions of s 1, s 2 and p for the two settings depicted on Slide 226. No need to derive precise formulas, but you should be able to explain your sketch. In particular, I expect you to be able to argue why no two-dimensional bisectors or similar oddities can occur. Assignment 21 Prove that all bisectors between (a) two lines, (b) a line and a circle, and (c) two circles are (possibly degenerate) conics. (The sites are allowed to intersect.)

Homework Assignment Sheet VIII (Due 08-June-2018) Assignment 22 Consider a set S of n points in the plane and prove that no pair of edges of its Euclidean minimum spanning tree intersect (except for possibly sharing a point of S as common end point). Assignment 23 Prove that there exists a linear mapping f that maps R 2 to R 2 such that d (p, q) = d 1 (f(p), f(q)) for every pair of points p, q R 2, where d 1 (, ) denotes the L 1 distance and d (, ) denotes the L distance. Assignment 24 Offsetting a polygon seems to smooth out the polygon by eliminating small concave features. Prove or disprove for both constant-radius and mitered offsets: Offsetting turns every simple polygon into a convex polygon. (That is, you are to argue whether or not for every given polygon there exists a finite offset distance such that the corresponding offset of the polygon is convex.)

Homework Assignment Sheet IX (Due 15-June-2018) Assignment 25 Consider a convex quadrilateral (a, b, c, d) and suppose that it is partitioned into two triangles (a, b, c) and (a, c, d) such that d is contained in the interior of the circumcircle of (a, b, c). Prove that replacing the edge ac by the edge bd and, thus, partitioning the quadrilateral (a, b, c, d) into (a, b, d) and (b, c, d), will increase the minimum angle among the two pairs of triangles. Assignment 26 Prove that every polygon with n vertices, for all n 4, can be split by a diagonal into two sub-polygons such that each sub-polygon has at most 2(n 2) + 2 3 vertices. Assignment 27 Chazelle s triangulation algorithm can be used to check whether a given list of n vertices constitutes a simple polygon in time O(n). Using this result as a black box, explain how one can check in time O( P + Q ) whether a simple polygon P intersects a simple polygon Q.