Computational Geometry: An Introduction / Edition 1

by Franco P. Preparata, Michael I. Shamos

Overview

From the reviews: "This book offers a coherent treatment, at the graduate textbook level, of the field that has come to be known in the last decade or so as computational geometry. ... ... The book is well organized and lucidly written; a timely contribution by two founders of the field. It clearly demonstrates that computational geometry in the plane is now a fairly well-understood branch of computer science and mathematics. It also points the way to the solution of the more challenging problems in dimensions higher than two." #Mathematical Reviews#1 "... This remarkable book is a comprehensive and systematic study on research results obtained especially in the last ten years. The very clear presentation concentrates on basic ideas, fundamental combinatorial structures, and crucial algorithmic techniques. The plenty of results is clever organized following these guidelines and within the framework of some detailed case studies. A large number of figures and examples also aid the understanding of the material. Therefore, it can be highly recommended as an early graduate text but it should prove also to be essential to researchers and professionals in applied fields of computer-aided design, computer graphics, and robotics." #Biometrical Journal#2

Product Details

ISBN-13:	9780387961316
Publisher:	Springer New York
Publication date:	08/23/1985
Series:	Monographs in Computer Science
Edition description:	1985
Pages:	398
Product dimensions:	6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

1 Introduction.- 1.1 Historical Perspective.- 1.2 Algorithmic Background.- 1.3 Geometric Preliminaries.- 1.4 Models of Computation.- 2 Geometric Searching.- 2.1 Introduction to Geometric Searching.- 2.2 Point-Location Problems.- 2.3 Range-Searching Problems.- 2.4 Iterated Search and Fractional Cascading.- 2.5 Notes and Comments.- 2.6 Exercises.- 3 Convex Hulls: Basic Algorithms.- 3.1 Preliminaries.- 3.2 Problem Statement and Lower Bounds.- 3.3 Convex Hull Algorithms in the Plane.- 3.4 Convex Hulls in More Than Two Dimensions.- 3.5 Notes and Comments.- 3.6 Exercises.- 4 Convex Hulls: Extensions and Applications.- 4.1 Extensions and Variants.- 4.2 Applications to Statistics.- 4.3 Notes and Comments.- 4.4 Exercises.- 5 Proximity: Fundamental Algorithms.- 5.1 A Collection of Problems.- 5.2 A Computational Prototype: Element Uniqueness.- 5.3 Lower Bounds.- 5.4 The Closest Pair Problem: A Divide-and-Conquer Approach.- 5.5 The Locus Approach to Proximity Problems: The Voronoi Diagram.- 5.6 Proximity Problems Solved by the Voronoi Diagram.- 5.7 Notes and Comments.- 5.8 Exercises.- 6 Proximity: Variants and Generalizations.- 6.1 Euclidean Minimum Spanning Trees.- 6.2 Planar Triangulations.- 6.3 Generalizations of the Voronoi Diagram.- 6.4 Gaps and Covers.- 6.5 Notes and Comments.- 6.6 Exercises.- 7 Intersections.- 7.1 A Sample of Applications.- 7.2 Planar Applications.- 7.3 Three-Dimensional Applications.- 7.4 Notes and Comments.- 7.5 Exercises.- 8 The Geometry of Rectangles.- 8.1 Some Applications of the Geometry of Rectangles.- 8.2 Domain of Validity of the Results.- 8.3 General Considerations on Static-Mode Algorithms.- 8.4 Measure and Perimeter of a Union of Rectangles.- 8.5 The Contour of a Union of Rectangles.- 8.6 The Closure of a Union of Rectangles.- 8.7 The External Contour of a Union of Rectangles.- 8.8 Intersections of Rectangles and Related Problems.- 8.9 Notes and Comments.- 8.10 Exercises.- References.- Author Index.