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Книга DEEP LEARN METHOD MATHE PHY (V1) CALIN OVIDIU

DEEP LEARN METHOD MATHE PHY (V1)

Автор: CALIN OVIDIU
Език: Английски език
Корици: С меки корици
Издател: World Scientific Publishing Co Pte Ltd
Наличност: Външен склад
Изпращаме след 9-15 дни
90.16 € 176.34 лв
This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physi...

Информация за книгата

Автор
CALIN OVIDIU
Език
Английски език
Корици
Книга - С меки корици
Издадена
2026
страници
554
EAN
9789819827923
ISBN
9819827922
Enbook ID
51430762
Издател
World Scientific Publishing Co Pte Ltd
Теглоt
733
Размери
152 x 229 x 29

Пълно описание

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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