Analysis and Numerics of Design, Control and Inverse Problems: 63 - Rilegato

Rilegato

ISBN 10: 9819661811 ISBN 13: 9789819661817

Casa editrice: Springer Nature, 2025

Riassunto

This book originates from the INdAM Workshop “Analysis and Numerics of Design, Control, and Inverse Problems”and explores a broad spectrum of cutting-edge topics in Applied Mathematics, including Control of Partial Differential Equations (PDEs), Shape Optimization, Inverse Problems and Numerical Analysis.
At the heart of many real-world applications lies the challenge of steering a system toward a desired configuration—often in the most efficient way possible. Whether it involves optimizing the shape of a structure, controlling the behavior of a physical system, or designing high-precision numerical methods, these challenges share a common mathematical framework.
This book brings together powerful techniques from functional analysis, PDEs, and numerical methods, offering both theoretical insights and practical implementations. Moreover, it delves into the fascinating field of inverse problems, where mathematical tools help extract hidden information from data—a crucial approach in fields such as climate science and biomedical modeling.
Ideal for researchers,  and advanced students, this book provides a comprehensive and accessible introduction to modern optimization and control methodologies with direct applications to science and engineering.

Su questo libro

Informazioni sull?autore

Giuseppe Floridia (Avola, SR, Italy)  is, since September 2022, an associate professor of Mathematical Analysis at the Department of Basic and Applied Sciences for Engineering of Sapienza Università di Roma in Italy.

Since 2023, he has been the coordinator of the "CliMath" working group of the Italian Mathematical Union (UMI), titled "Mathematical Modeling for the Study of Climate, Climate Change, and Its Impacts”.

In 2024, he was elected as a member of the Scientific Committee of the UMI and appointed coordinator of the UMI Prizes Committee for the 2024–2027 term.

Enrique Zuazua (Eibar, Basque Country–Spain)  holds, since September 2019, the chair for Dynamics, Control, Machine Learning and Numerics—Alexander von Humboldt Professorship, at the Department of Mathematics of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) in Germany and part-time appointments at Universidad Autónoma de Madrid (UAM) and the University of Deusto, Bilbao. 

Dalla quarta di copertina

This book originates from the INdAM Workshop “Analysis and Numerics of Design, Control, and Inverse Problems”and explores a broad spectrum of cutting-edge topics in Applied Mathematics, including Control of Partial Differential Equations (PDEs), Shape Optimization, Inverse Problems and Numerical Analysis.
At the heart of many real-world applications lies the challenge of steering a system toward a desired configuration—often in the most efficient way possible. Whether it involves optimizing the shape of a structure, controlling the behavior of a physical system, or designing high-precision numerical methods, these challenges share a common mathematical framework.
This book brings together powerful techniques from functional analysis, PDEs, and numerical methods, offering both theoretical insights and practical implementations. Moreover, it delves into the fascinating field of inverse problems, where mathematical tools help extract hidden information from data—a crucial approach in fields such as climate science and biomedical modeling.
Ideal for researchers,  and advanced students, this book provides a comprehensive and accessible introduction to modern optimization and control methodologies with direct applications to science and engineering.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 9819661811
• ISBN 13: 9789819661817
• Rilegatura: Copertina rigida
• Numero di pagine: 205
• Redattore: Floridia Giuseppe, Zuazua Enrique
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania