Advanced Computational Applications of Geometric Algebra: ICACGA 2022, Denver, CO, USA, October 2–5: 445 - Brossura

Libro 384 di 464: Springer Proceedings in Mathematics & Statistics
 
9783031559877: Advanced Computational Applications of Geometric Algebra: ICACGA 2022, Denver, CO, USA, October 2–5: 445

Sinossi

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.

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Dalla quarta di copertina

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.

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Altre edizioni note dello stesso titolo

9783031559846: Advanced Computational Applications of Geometric Algebra: Icacga 2022, Denver, Co, USA, October 2-5: 445

Edizione in evidenza

ISBN 10:  3031559843 ISBN 13:  9783031559846
Casa editrice: Springer Nature, 2024
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