£152.42

World Scientific Publishing Company Scientific Publishing - Deep Learning Methods of Math Physics I

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Description

Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems provides a specialized look into the intersection of advanced computational techniques and physical sciences. Published by World Scientific Publishing Co Pte Ltd, this volume focuses on the application of deep learning within the framework of direct and inverse problems in mathematical physics. This book is designed for those working in the fields of AI and machine learning who require a deep understanding of how these technologies apply to complex mathematical structures. By exploring the relationship between neural networks and physical models, the text serves as a resource for understanding how modern computing can solve traditional physics challenges. It is an essential addition to any academic or professional library focused on the evolution of computational science and machine learning applications.

Key Features

Focuses on the application of deep learning methods specifically for direct and inverse problems in mathematical physics.

Published by World Scientific Publishing Co Pte Ltd to ensure high academic standards for scientific study.

Covers essential concepts at the intersection of AI, machine learning, and mathematical physics.

Provides a structured approach to understanding how computational models interact with physical systems.

Serves as a technical resource for researchers and students in computer science and physics-based computing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 March 2026
Listed Since
13 January 2026

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