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Book Details

Cover of Discrete and Computational Geometry

Discrete and Computational Geometry : An essential introduction to discrete and computational geometry

ISBN 9780691145532
Pages 272
Year 2011
Edition 1
Rs 4620.00 Rs 3696.00
Description
Discrete geometry is a relatively new development in pure mathematics, while computational geometry is an emerging area in applications-driven computer science. Their intermingling has yielded exciting advances in recent years, yet what has been lacking until now is an undergraduate textbook that bridges the gap between the two. Discrete and Computational Geometry offers a comprehensive yet accessible introduction to this cutting-edge frontier of mathematics and computer science.

This book covers traditional topics such as convex hulls, triangulations, and Voronoi diagrams, as well as more recent subjects like pseudotriangulations, curve reconstruction, and locked chains. It also touches on more advanced material, including Dehn invariants, associahedra, quasigeodesics, Morse theory, and the recent resolution of the Poincaré conjecture. Connections to real-world applications are made throughout, and algorithms are presented independently of any programming language. This richly illustrated textbook also features numerous exercises and unsolved problems.

The essential introduction to discrete and computational geometry

Covers traditional topics as well as new and advanced material

Features numerous full-color illustrations, exercises, and unsolved problems

Suitable for sophomores in mathematics, computer science, engineering, or physics

Rigorous but accessible

An online solutions manual is available (for teachers only).

About Author(s)
 Joseph O'Rourke is the Olin Professor of Computer Science and professor of mathematics at Smith College. His books include Geometric Folding Algorithms: Linkages, Origami, Polyhedra.
Content
Preface

1 POLYGONS

1.1 Diagonals and Triangulations

1.2 Basic Combinatorics

1.3 The Art Gallery Theorem

1.4 Scissors Congruence in 2D

1.5 Scissors Congruence in 3D

2 CONVEX HULLS

2.1 Convexity

2.2 The Incremental Algorithm

2.3 Analysis of Algorithms

2.4 Gift Wrapping and Graham Scan

2.5 Lower Bound

2.6 Divide-and-Conquer

2.7 Convex Hull in 3D

3 TRIANGULATIONS

3.1 Basic Constructions

3.2 The Flip Graph

3.3 The Associahedron

3.4 Delaunay Triangulations

3.5 Special Triangulations

4 VORONOI DIAGRAMS

4.1 Voronoi Geometry

4.2 Algorithms to Construct the Diagram

4.3 Duality and the Delaunay Triangulation

4.4 Convex Hull Revisited

5 CURVES

5.1 Medial Axis

5.2 Straight Skeleton

5.3 Minkowski Sums

5.4 Convolution of Curves

5.5 Curve Shortening

5.6 The Heat Equation

5.7 Curve Reconstruction

6 POLYHEDRA

6.1 Platonic Solids

6.2 Euler’s Polyhedral Formula

6.3 The Gauss-Bonnet Theorem

6.4 Cauchy Rigidity

6.5 Shortest Paths

6.6 Geodesics

7 CONFIGURATION SPACES

7.1 Motion Planning

7.2 Polygonal Chains

7.3 Rulers and Locked Chains

7.4 Polygon Spaces

7.5 Particle Collisions

Appendix: Computational Complexity

Permissions

Index

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