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Pdes, Control and Deep Learning: Cetraro, Italy 2024
Paperback
General ComputersGeneral Mathematics
PREORDER - Expected ship date October 31, 2026
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ISBN10: 3032187427
ISBN13: 9783032187420
Publisher: Springer
Published: Oct 31 2026
Pages: 129
Language: English
ISBN13: 9783032187420
Publisher: Springer
Published: Oct 31 2026
Pages: 129
Language: English
This volume includes lectures presented at the CIME School on PDEs, Control and Deep Learning, held in Cetraro (Italy) from July 22 to 26, 2024. It provides a comprehensive and up-to-date view of the diverse and rapidly evolving field of nonlinear partial differential equations (PDEs), with an emphasis on modeling, analysis, control, and deep learning aspects.
The theory of PDEs interacts closely with almost all areas of physics and many branches of mathematics. As explicit solutions of PDEs are rarely available (except in the simplest cases), numerical approximations play a central role in their study. Machine learning, particularly through artificial neural networks, introduces powerful methods for function approximation through layered structures of interconnected units (neurons) that combine linear transformations and nonlinear activations. Deep learning (the use of neural networks with many hidden layers) has proven to be remarkably effective in a wide range of applications. At the same time, recent advances in PDEs and control theory are beginning to inform machine learning, providing new theoretical perspectives. The book will be a valuable resource for PhD students and researchers seeking to deepen their understanding of partial differential equations, control, and their connections to modern machine learning.
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