{"product_id":"9783031559877","title":"Springer Proceedings in Mathematics \u0026 Statistics: ICACGA 2022, Denver, CO, USA, October 2–5","description":"\u003ch1\u003eSpringer Proceedings in Mathematics \u0026amp; Statistics: ICACGA 2022, Denver, CO, USA, October 2–5\u003c\/h1\u003e \u003ch2\u003eAraujo Da Silva, David William Honorio; Hildenbrand, Dietmar; Hitzer, Eckhard\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eHow 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.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-06-05\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031559877\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-55985-3\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 257\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44395426447500,"sku":"9783031559877","price":224.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031559877.jpg?v=1775820488","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783031559877","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}