{"product_id":"deep-learn-method-mathe-phy-v1-9789819827237","title":"Deep Learn Method Mathe Phy (V1)","description":"\u003cp\u003e • Author(s): Calin Ovidiu\u003cbr\u003e • Publisher: World Scientific Publishing Company\u003cbr\u003e • Publisher Imprint: World Scientific Publishing Company\u003cbr\u003e • BISAC: Physics - Mathematical \u0026amp; Computational\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","brand":"World Scientific Publishing Company","offers":[{"title":"Hardcover","offer_id":47592653979799,"sku":"9789819827237","price":17286.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789819827237.webp?v=1774978700","url":"https:\/\/atlanticbooks.com\/products\/deep-learn-method-mathe-phy-v1-9789819827237","provider":"Atlantic Books","version":"1.0","type":"link"}