# Geometric Algebra for Computer Science (Revised Edition)

## 1st Edition

**An Object-Oriented Approach to Geometry**

Editors:

- Print ISBN 9780123749420
- Electronic ISBN 9780080958798

**An Object-Oriented Approach to Geometry**

Editors:

- Print ISBN 9780123749420
- Electronic ISBN 9780080958798

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.

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.

CHAPTER 1. WHY GEOMETRIC ALGEBRA?
An Example in Geometric Algebra
How It Works and How It’s Different
Vector Spaces as Modeling Tools
Subspaces as Elements of Computation
Linear Transformations Extended
Universal Orthogonal Transformations
Objects are Operators
Closed-Form Interpolation and
Perturbation
Programming Geometry
You Can Only Gain
Software Implementation
The Structure of This Book
Part I: Geometric Algebra
Part II: Models of Geometry
Part III: Implementation of Geometric
Algebra
The Structure of the Chapters
PART I GEOMETRIC ALGEBRA
CHAPTER 2. SPANNING ORIENTED SUBSPACES
Vector Spaces
Oriented Line Elements
Properties of Homogeneous Lines
Visualizing Vectors
Oriented Area Elements
Properties of Planes
Introducing the Outer Product
Visualizing Bivectors
Visualizing Bivector Addition
Oriented Volume Elements
Properties of Volumes
Associativity of the Outer Product
Visualization of Trivectors
Quadvectors in 3-D Are Zero
Scalars Interpreted Geometrically
Applications
Solving Linear Equations
Intersecting Planar Lines
Homogeneous Subspace Representation
Parallelness
Direct Representation of Oriented
Weighted Subspaces
Nonmetric Lengths, Areas, and Volumes
The Graded Algebra of Subspaces
Blades and Grades
The Ladder of Subspaces
k-Blades Versus k-Vectors
The Grassmann Algebra of Multivectors

## Details

- No. of pages:
- 664

- Language:
- English

- Copyright:
- © 2007

- Published:
- 23rd March 2009

- Imprint:
- Morgan Kaufmann

- Print ISBN:
- 9780123749420

- Electronic ISBN:
- 9780080958798

Informatics Institute, Faculty of Sciences, University of Amsterdam, The Netherlands

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.

Intelligent Autonomous Systems, University of Amsterdam, The Netherlands

University of Waterloo, Ontario, Canada

Within the last decade, Geometric Algebra (GA) has emerged as a powerful alternative to classical matrix algebra as a comprehensive conceptual language and computational system for computer science. This book will serve as a standard introduction and reference to the subject for students and experts alike. As a textbook, it provides a thorough grounding in the fundamentals of GA, with many illustrations, exercises and applications. Experts will delight in the refreshing perspective GA gives to every topic, large and small.

-David Hestenes, Distinguished research Professor, Department of Physics, Arizona State University

Geometric Algebra is becoming increasingly important in computer science. This book is a comprehensive introduction to Geometric Algebra with detailed descriptions of important applications. While requiring serious study, it has deep and powerful insights into GA’s usage. It has excellent discussions of how to actually implement GA on the computer.

-Dr. Alyn Rockwood, CTO, FreeDesign, Inc. Longmont, Colorado