Geometric Algebra for Computer Science

Geometric Algebra for Computer Science An Object-Oriented Approach to Geometry - The Morgan Kaufmann Series in Computer Graphics

Hardback (26 Apr 2007)

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Synopsis

Until recently, almost 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.

Book information

ISBN: 9780123694652
Publisher: Elsevier Science
Imprint: Morgan Kaufmann
Pub date:
DEWEY: 006.60151257
DEWEY edition: 22
Language: English
Number of pages: 626
Weight: 1592g
Height: 235mm
Width: 191mm
Spine width: 35mm