Advanced Computational Applications of Geometric Algebra

David William Honorio Araujo Da Silva

ISBN 10: 3031559843 / ISBN 13: 9783031559846

Published by Springer Nature Switzerland, Springer Nature Switzerland Jun 2024, 2024

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.

Seller Inventory # 9783031559846

Bibliographic Details

• Title: Advanced Computational Applications of Geometric Algebra
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland Jun 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 3031559843
• ISBN 13: 9783031559846
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.