Foundations Of Geometric Algebra Computing - Info and Reading Options
By Dietmar Hildenbrand

"Foundations Of Geometric Algebra Computing" was published by Springer in 2012 and it has 196 pages.
“Foundations Of Geometric Algebra Computing” Metadata:
- Title: ➤ Foundations Of Geometric Algebra Computing
- Author: Dietmar Hildenbrand
- Number of Pages: 196
- Publisher: Springer
- Publish Date: 2012
“Foundations Of Geometric Algebra Computing” Subjects and Themes:
- Subjects: ➤ Computer Imaging, Vision, Pattern Recognition and Graphics - Appl.Mathematics/Computational Methods of Engineering - Computer vision - Engineering mathematics - Computer science - Geometry - Computer science, mathematics - Algebras, linear - Geometry, algebraic - Clifford algebras - Data processing - Geometrische Algebra - Computeralgebra
Edition Identifiers:
- The Open Library ID: OL25956434M - OL17377183W
- Library of Congress Control Number (LCCN): 2012953093
- ISBN-13: 9783642317934
- All ISBNs: 9783642317934
AI-generated Review of “Foundations Of Geometric Algebra Computing”:
"Foundations Of Geometric Algebra Computing" Description:
The Open Library:
<p>The author defines “Geometric Algebra Computing” as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this book is to lay the foundations for the widespread use of geometric algebra as a powerful, intuitive mathematical language for engineering applications in academia and industry. The related technology is driven by the invention of conformal geometric algebra as a 5D extension of the 4D projective geometric algebra and by the recent progress in parallel processing, and with the specific conformal geometric algebra there is a growing community in recent years applying geometric algebra to applications in computer vision, computer graphics, and robotics.</p><p><p>This book is organized into three parts: in Part I the author focuses on the mathematical foundations; in Part II he explains the interactive handling of geometric algebra; and in Part III he deals with computing technology for high-performance implementations based on geometric algebra as a domain-specific language in standard programming languages such as C++ and OpenCL. The book is written in a tutorial style and readers should gain experience with the associated freely available software packages and applications.</p><p>The book is suitable for students, engineers, and researchers in computer science, computational engineering, and mathematics.
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