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Title New approaches to circle packing in a square : with program codes / by P.G. Szábo [and others]
Published New York : Springer, ©2007


Description 1 online resource (xiv, 238 pages) : illustrations
Series Springer optimization and its applications ; v. 6
Springer optimization and its applications ; v. 6.
Contents Preface -- Glossary of Symbols -- 1. Introduction and Problem History -- 2. Problem Definitions and Formulations -- 3. Bounds for the Optimum Values -- 4. Approximate Circle Packings Using Optimization Methods -- 5. Other Methods for Finding Approximate Circle Packings -- 6. Interval Methods for Validating Optimal Solutions -- 7. The First Fully Interval-based Optimization Method -- 8. The Improved Version of the Interval Optimization Method -- 9. Interval Methods for Verifying Structural Optimality -- 10. Repeated Patterns in Circle Packings -- 11. Minimal Polynomials of Point Arrangements -- 12. About the Codes Used -- Appendix A. Currently Best Known Results for Packing Congruent Circles in a Square -- Bibliography -- Related Web Sites -- List of Figures -- List of Tables -- Index
Summary In one sense, the problem of finding the densest packing of congruent circles in a square is easy to understand: it is a matter of positioning a given number of equal circles in such a way that the circles fit fully in a square without overlapping. But on closer inspection, this problem reveals itself to be an interesting challenge of discrete and computational geometry with all its surprising structural forms and regularities. As the number of circles to be packed increases, solving a circle packing problem rapidly becomes rather difficult. To give an example of the difficulty of some problems, consider that in several cases there even exists a circle in an optimal packing that can be moved slightly while retaining the optimality. Such free circles (or "rattles") mean that there exist not only a continuum of optimal solutions, but the measure of the set of optimal solutions is positive! This book summarizes results achieved in solving the circle packing problem over the past few years, providing the reader with a comprehensive view of both theoretical and computational achievements. Typically illustrations of problem solutions are shown, elegantly displaying the results obtained. Beyond the theoretically challenging character of the problem, the solution methods developed in the book also have many practical applications. Direct applications include cutting out congruent two-dimensional objects from an expensive material, or locating points within a square in such a way that the shortest distance between them is maximal. Circle packing problems are closely related to the "obnoxious facility location" problems, to the Tammes problem, and less closely related to the Kissing Number Problem. The emerging computational algorithms can also be helpful in other hard-to-solve optimization problems like molecule conformation. The wider scientific community has already been involved in checking the codes and has helped in having the computational proofs accepted. Since the codes can be worked with directly, they will enable the reader to improve on them and solve problem instances that still remain challenging, or to use them as a starting point for solving related application problems. AudienceThis book will appeal to those interested in discrete geometrical problems and their efficient solution techniques. Operations research and optimization experts will also find it worth reading as a case study of how the utilization of the problem structure and specialities made it possible to find verified solutions of previously hopeless high-dimensional nonlinear optimization problems with nonlinear constraints
Bibliography Includes bibliographical references (pages 219-225) and index
Notes English
Print version record
In Springer e-books
Subject Circle packing -- Data processing
Discrete geometry -- Data processing
MATHEMATICS -- Geometry -- General.
Círculo-Cuadratura -- Datos-Tratamiento
Discrete geometry -- Data processing
Packung Mathematik
Pakking (natuurwetenschappen)
Numerieke wiskunde.
Form Electronic book
Author Szabó, P. G. (Péter Gábor)
ISBN 9780387456768