Książka DEEP LEARN METHOD MATHE PHY (V1) CALIN OVIDIU

DEEP LEARN METHOD MATHE PHY (V1)

Autor: CALIN OVIDIU
Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 14-21 dni
731.46
This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physi...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2026
strony
554
EAN
9789819827237
ISBN
981982723X
Enbook ID
51430759
Waga
906
Wymiary
152 x 229 x 30

Pełny opis

This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physics, 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.

This book introduces Neural ODEs, Physics-Informed Neural Networks (PINNs), and Hamiltonian and Lagrangian Neural Networks, showing how they enhance classical mechanics and PDE solvers for both forward and inverse problems. With Keras code examples, Google Colab notebooks, and practical exercises, this book serves researchers and students in physics, mathematics, and engineering seeking a concise, hands-on guide to applying deep learning in physical systems.

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