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Geometric Algebra for Computer Science : An Object-Oriented Approach to Geometry

ISBN: 9780123749420 | 0123749425
Format: Hardcover
Publisher: Elsevier Science Ltd
Pub. Date: 3/23/2009

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SummaryTable of Contents
Until recently, all of the interactions between objects in virtual 3D worlds have been based on calculations performed using linear algebra. Linear algebra relies heavily on coordinates, however, which can make many geometric programming tasks very specific and complex-often a lot of effort is required to bring about even modest performance enhancements. Although linear algebra is an efficient way to specify low-level computations, it is not a suitable high-level language for geometric programming. Geometric Algebra for Computer Science presents a compelling alternative to the limitations of linear algebra. Geometric algebra, or GA, is a compact, time-effective, and performance-enhancing way to represent the geometry of 3D objects in computer programs. In this book you will find an introduction to GA that will give you a strong grasp of its relationship to linear algebra and its significance for your work. You will learn how to use GA to represent objects and perform geometric operations on them. And you will begin mastering proven techniques for making GA an integral part of your applications in a way that simplifies your code without slowing it down.*Explains GA as a natural extension of linear algebra and conveys its significance for 3D programming of geometry in graphics, vision, and robotics. *Systematically explores the concepts and techniques that are key to representing elementary objects and geometric operators using GA. *Covers in detail the conformal model, a convenient way to implement 3D geometry using a 5D representation space. *Presents effective approaches to making GA an integral part of your programming. *Includes numerous drills and programming exercises helpful for both students and practitioners. *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.
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Why Geometric Algebra?
Geometric Algebra
Spanning Oriented Subspaces
Metric Products Of Subspaces
Linear Transformations Of Subspaces
Intersection And Union Of Subspaces
The Fundamental Product Of Geometric Algebra
Orthogonal Transformations As Versors
Geometric Differentiation
Models Of Geometries
Modeling Geometries
The Vector Space Model: The Algebra Of Directions
The Homogeneous Model
Applications Of The Homogeneous Model
The Conformal Model: Operational Euclidean Geometry
New Primitives For Euclidean Geometry
Constructions In Euclidean Geometry
Conformal Operators
Operational Models For Geometries
Implementing Geometric Algebra
Implementation Issues
Basis Blades And Operations
The Linear Products And Operations
Fundamental Algorithms For Nonlinear Products
Specializing The Structure For Efficiency
Using The Geometry In A Ray- Tracing Application
Appendices A Metrics And Null Vectors
Contractions And Other Inner Products
Subspace Products Retrieved
Common Equations
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.


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