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Geometric Algebra for Computer Science (Revised Edition)

An Object-Oriented Approach to Geometry

Specificaties
Gebonden, blz. | Engels
Elsevier Science | e druk, 2009
ISBN13: 9780123749420
Rubricering
Elsevier Science e druk, 2009 9780123749420
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780123749420
Taal:Engels
Bindwijze:Gebonden

Inhoudsopgave

CHAPTER 1. WHY GEOMETRIC ALGEBRA? <br>PART I GEOMETRIC ALGEBRA <br>CHAPTER 2. SPANNING ORIENTED SUBSPACES <br>CHAPTER 3. METRIC PRODUCTS OF SUBSPACES <br>CHAPTER 4. LINEAR TRANSFORMATIONS OF <br>SUBSPACES <br>CHAPTER 5. INTERSECTION AND UNION OF <br>SUBSPACES <br>CHAPTER 6. THE FUNDAMENTAL PRODUCT OF <br>GEOMETRIC ALGEBRA <br>CHAPTER 7. ORTHOGONAL TRANSFORMATIONS AS <br>VERSORS <br>CHAPTER 8. GEOMETRIC DIFFERENTIATION <br>PART II MODELS OF GEOMETRIES <br>CHAPTER 9. MODELING GEOMETRIES <br>CHAPTER 10. THE VECTOR SPACE MODEL: THE <br>ALGEBRA OF DIRECTIONS <br>CHAPTER 11. THE HOMOGENEOUS MODEL <br>CHAPTER 12. APPLICATIONS OF THE <br>HOMOGENEOUS MODEL <br>CHAPTER 13. THE CONFORMAL MODEL: <br>OPERATIONAL EUCLIDEAN GEOMETRY <br>CHAPTER 14. NEW PRIMITIVES FOR EUCLIDEAN <br>GEOMETRY <br>CHAPTER 15. CONSTRUCTIONS IN EUCLIDEAN <br>GEOMETRY <br>CHAPTER 16. CONFORMAL OPERATORS <br>CHAPTER 17. OPERATIONAL MODELS FOR <br>GEOMETRIES <br>PART III IMPLEMENTING GEOMETRIC ALGEBRA <br>CHAPTER 18. IMPLEMENTATION ISSUES <br>CHAPTER 19. BASIS BLADES AND OPERATIONS <br>CHAPTER 20. THE LINEAR PRODUCTS AND <br>OPERATIONS <br>CHAPTER 21. FUNDAMENTAL ALGORITHMS FOR <br>NONLINEAR PRODUCTS <br>CHAPTER 22. SPECIALIZING THE STRUCTURE FOR <br>EFFICIENCY <br>CHAPTER 23. USING THE GEOMETRY IN A RAY- <br>TRACING APPLICATION <br>PART IV APPENDICES <br>A METRICS AND NULL VECTORS <br>B CONTRACTIONS AND OTHER INNER PRODUCTS <br>C SUBSPACE PRODUCTS RETRIEVED <br>D COMMON EQUATIONS <br>BIBLIOGRAPHY <br>INDEX

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        Geometric Algebra for Computer Science (Revised Edition)