{"product_id":"deep-learn-method-mathe-phy-v1-paperback-2","title":"Deep Learn Method Mathe Phy (V1) - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCalin Ovidiu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book \u003cstrong\u003eexplores how Artificial Intelligence and Deep Learning are transforming Mathematical Physics\u003c\/strong\u003e, offering modern data-driven tools where traditional analytical and numerical methods fall short. As physical systems grow more complex or chaotic, deep learning provides efficient surrogates and physics-informed models capable of capturing dynamics and uncovering governing laws directly from data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book introduces \u003cstrong\u003eNeural ODEs, Physics-Informed Neural Networks (PINNs), and Hamiltonian and Lagrangian Neural Networks\u003c\/strong\u003e, showing how they enhance classical mechanics and PDE solvers for both forward and inverse problems. With \u003cstrong\u003eKeras code examples, Google Colab notebooks, and practical exercises\u003c\/strong\u003e, this book serves researchers and students in physics, mathematics, and engineering seeking a concise, hands-on guide to applying deep learning in physical systems.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 550\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.12 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 08, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48320849641721,"sku":"9789819827923","price":142.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/NKoTlHY06F9789819827923_85cca447-81f8-49ce-b6a0-c97000fe7502.webp?v=1777114636","url":"https:\/\/bookscloud.io\/products\/deep-learn-method-mathe-phy-v1-paperback-2","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}