Advanced Computational Applications of Geometric Algebra ICACGA 2022, Denver, CO, USA, October 2-5 |
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| Editor:
| Araujo Da Silva, David William Honorio
Hildenbrand, Dietmar
Hitzer, Eckhard |
| Series title: | Springer Proceedings in Mathematics and Statistics Ser. |
| ISBN: | 978-3-031-55984-6 |
| Publication Date: | Jun 2024 |
| Publisher: | Springer
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| Book Format: | Hardback |
| List Price: | USD $219.99 |
Book Description:
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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....
More Description
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.