Advanced Computational Applications of Geometric Algebra : ICACGA 2022, Denver, CO, USA, October 2-5

David William Honorio Araujo Da Silva

ISBN 10: 3031559843 / ISBN 13: 9783031559846

Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783031559846

Dati bibliografici

• Titolo: Advanced Computational Applications of Geometric Algebra : ICACGA 2022, Denver, CO, USA, October 2-5
• Editore: Springer Nature Switzerland, Springer Nature Switzerland
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031559843
• ISBN 13: 9783031559846
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.