Description: Applications of Geometric Algebra in Computer Science and Engineering, Paperback by Dorst, Leo (EDT); Doran, Chris (EDT); Lasenby, Joan (EDT), ISBN 1461266068, ISBN-13 9781461266068, Brand New, Free shipping in the US Geometric algebra has established itself as a powerful and valuable mathematical tool for solving problems in computer science, engineering, physics, and mathematics. The articles in this volume, written by experts in various fields, reflect an interdisciplinary approach to the subject, and highlight a range of techniques and applications. Relevant ideas are introduced in a self-contained manner and only a knowledge of linear algebra and calculus is assumed. Features and Topics: * The mathematical foundations of geometric algebra are explored * Applications in computational geometry include models of reflection and ray-tracing and a new and concise characterization of the crystallographic groups * Applications in engineering include robotics, image geometry, control-pose estimation, inverse kinematics and dynamics, control and visual navigation * Applications in physics include rigid-body dynamics, elasticity, and electromagnetism * Chapters dedicated to quantum information theory dealing with multi- particle entanglement, MRI, and relativistic generalizations Practitioners, professionals, and researchers working in computer science, engineering, physics, and mathematics will find a wide range of useful applications in this state-of-the-art survey and referenc. Additionally, advanced graduate students interested in geometric algebra will find the most current applications and methods discussed.
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Book Title: Applications of Geometric Algebra in Computer Science and Enginee
Number of Pages: Xxv, 478 Pages
Language: English
Publication Name: Applications of Geometric Algebra in Computer Science and Engineering
Publisher: Birkhäuser Boston
Item Height: 0.4 in
Publication Year: 2012
Subject: Engineering (General), Cad-Cam, Applied, Geometry / Algebraic, Physics / Mathematical & Computational, Discrete Mathematics
Type: Textbook
Item Weight: 27.2 Oz
Author: Chris Doran
Subject Area: Mathematics, Computers, Technology & Engineering, Science
Item Length: 9.3 in
Item Width: 6.1 in
Format: Trade Paperback
