9780123749420-0123749425-Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics)

Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics)

ISBN-13: 9780123749420
ISBN-10: 0123749425
Edition: 1
Author: Leo Dorst, Daniel Fontijne, Stephen Mann
Publication date: 2007
Publisher: Morgan Kaufmann
Format: Hardcover 664 pages
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ISBN-13: 9780123749420
ISBN-10: 0123749425
Edition: 1
Author: Leo Dorst, Daniel Fontijne, Stephen Mann
Publication date: 2007
Publisher: Morgan Kaufmann
Format: Hardcover 664 pages

Summary

Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics) (ISBN-13: 9780123749420 and ISBN-10: 0123749425), written by authors Leo Dorst, Daniel Fontijne, Stephen Mann, was published by Morgan Kaufmann in 2007. With an overall rating of 4.0 stars, it's a notable title among other Graphics & Design (Graphics & Multimedia, Programming) books. You can easily purchase or rent Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics) (Hardcover) from BooksRun, along with many other new and used Graphics & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $27.05.

Description

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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