Springer Proceedings in Mathematics & Statistics: ICACGA 2022, Denver, CO, USA, October 2–5

Araujo Da Silva, David William Honorio; Hildenbrand, Dietmar; Hitzer, Eckhard

How Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few. Moreover, there is ample evidence that further research on GA and related areas can significantly expand the number of real-world applications in a wide variety of areas. A mathematical system that is very easy to handle, highly robust and superior performance for engineering applications. Good thematic introduction for engineers and researchers new to the subject. Extensive illustrations and code examples. Thematically well structured with many hands on examples. Learning about GA and how to use it for daily tasks in engineering research and development.

Details

Published by: Springer

Publication Date: 2024-06-04

Format: Hardcover

ISBN-13: 9783031559846

DOI: 10.1007/978-3-031-55985-3

Dimensions: 235cm x155cm

Pages: 257