Dorst / Fontijne / Mann | Geometric Algebra for Computer Science (Revised Edition) | Buch | 978-0-12-374942-0 | sack.de

Buch, Englisch, 664 Seiten, Format (B × H): 194 mm x 241 mm, Gewicht: 1473 g

Dorst / Fontijne / Mann

Geometric Algebra for Computer Science (Revised Edition)

An Object-Oriented Approach to Geometry

Buch, Englisch, 664 Seiten, Format (B × H): 194 mm x 241 mm, Gewicht: 1473 g

ISBN: 978-0-12-374942-0
Verlag: Elsevier Science


Geometric Algebra for Computer Science (Revised Edition) presents a compelling alternative to the limitations of linear algebra.

Geometric algebra (GA) is a compact, time-effective, and performance-enhancing way to represent the geometry of 3D objects in computer programs. This book explains GA as a natural extension of linear algebra and conveys its significance for 3D programming of geometry in graphics, vision, and robotics. It systematically explores the concepts and techniques that are key to representing elementary objects and geometric operators using GA. It covers in detail the conformal model, a convenient way to implement 3D geometry using a 5D representation space. Numerous drills and programming exercises are helpful for both students and practitioners. A companion web site includes links to GAViewer, a program that will allow you to interact with many of the 3D figures in the book; and Gaigen 2, the platform for the instructive programming exercises that conclude each chapter.

The book will be of interest to professionals working in fields requiring complex geometric computation such as robotics, computer graphics, and computer games. It is also be ideal for students in graduate or advanced undergraduate programs in computer science.
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Zielgruppe


Professionals working in fields requiring complex geometric computation such as robotics, computer graphics, and computer games. Students in graduate or advanced undergraduate programs in computer science.

Weitere Infos & Material


CHAPTER 1. WHY GEOMETRIC ALGEBRA?

PART I GEOMETRIC ALGEBRA

CHAPTER 2. SPANNING ORIENTED SUBSPACES

CHAPTER 3. METRIC PRODUCTS OF SUBSPACES

CHAPTER 4. LINEAR TRANSFORMATIONS OF

SUBSPACES

CHAPTER 5. INTERSECTION AND UNION OF

SUBSPACES

CHAPTER 6. THE FUNDAMENTAL PRODUCT OF

GEOMETRIC ALGEBRA

CHAPTER 7. ORTHOGONAL TRANSFORMATIONS AS

VERSORS

CHAPTER 8. GEOMETRIC DIFFERENTIATION

PART II MODELS OF GEOMETRIES

CHAPTER 9. MODELING GEOMETRIES

CHAPTER 10. THE VECTOR SPACE MODEL: THE

ALGEBRA OF DIRECTIONS

CHAPTER 11. THE HOMOGENEOUS MODEL

CHAPTER 12. APPLICATIONS OF THE

HOMOGENEOUS MODEL

CHAPTER 13. THE CONFORMAL MODEL:

OPERATIONAL EUCLIDEAN GEOMETRY

CHAPTER 14. NEW PRIMITIVES FOR EUCLIDEAN

GEOMETRY

CHAPTER 15. CONSTRUCTIONS IN EUCLIDEAN

GEOMETRY

CHAPTER 16. CONFORMAL OPERATORS

CHAPTER 17. OPERATIONAL MODELS FOR

GEOMETRIES

PART III IMPLEMENTING GEOMETRIC ALGEBRA

CHAPTER 18. IMPLEMENTATION ISSUES

CHAPTER 19. BASIS BLADES AND OPERATIONS

CHAPTER 20. THE LINEAR PRODUCTS AND

OPERATIONS

CHAPTER 21. FUNDAMENTAL ALGORITHMS FOR

NONLINEAR PRODUCTS

CHAPTER 22. SPECIALIZING THE STRUCTURE FOR

EFFICIENCY

CHAPTER 23. USING THE GEOMETRY IN A RAY-

TRACING APPLICATION

PART IV APPENDICES

A METRICS AND NULL VECTORS

B CONTRACTIONS AND OTHER INNER PRODUCTS

C SUBSPACE PRODUCTS RETRIEVED

D COMMON EQUATIONS

BIBLIOGRAPHY

INDEX


Fontijne, Daniel
Daniel Fontijne holds a Master's degree in artificial Intelligence and a Ph.D. in Computer Science, both from the University of Amsterdam. His main professional interests are computer graphics, motion capture, and computer vision.


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