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
Category:
Algebra
,
Computers
,
Geometry
,
Mathematics

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Book details

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
Category:
Algebra
,
Computers
,
Geometry
,
Mathematics

Acknowledged author
Leo Dorst
wrote Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics)
comprising 664 pages back in 2007.
Textbook and eTextbook are published under ISBN 0123749425 and 9780123749420.
Since then Geometric Algebra for Computer Science (Revised Edition): An Object-Oriented Approach to Geometry (The Morgan Kaufmann Series in Computer Graphics) textbook
was available to sell back to BooksRun online for the top buyback price
of $ 14.86 or rent at the marketplace.

*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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