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Book Carleman Estimates in Mean Field Games: Stability and Uniqueness for Nonlinear PDEs and Inverse Problems PDF Download - Michael V. Klibanov, Jingzhi Li
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Carleman Estimates in Mean Field Games: Stability and Uniqueness for Nonlinear PDEs and Inverse Problems
Michael V. Klibanov, Jingzhi Li
Page: 160
Format: pdf, ePub, mobi, fb2
ISBN: 9783111722511
Publisher: De Gruyter
Download or Read Online Carleman Estimates in Mean Field Games: Stability and Uniqueness for Nonlinear PDEs and Inverse Problems Free Book (PDF ePub Mobi) by Michael V. Klibanov, Jingzhi Li
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This book provides a comprehensive exploration of Mean Field Games (MFG) theory, a mathematical framework for modeling the collective behavior of rational agents in complex systems. MFG theory can govern a range of societal phenomena, including finance, sociology, machine learning, and economics. The focus is on the system of two coupled nonlinear parabolic partial differential equations (PDEs) that define the Mean Field Games System. The book covers key theoretical topics such as solution stability and uniqueness, with a particular emphasis on Carleman estimates, which are used to estimate solution errors based on noise in the input data. It also introduces the theory of Ill-Posed and Inverse Problems within MFG theory. Both theoretical and numerical aspects of forward and inverse problems are explored through Carleman estimates, offering a rigorous foundation for researchers and practitioners in applied mathematics and related fields. This book offers a rigorous approach to Carleman estimates, a key element of Mean Field Games theory, making it an essential resource for researchers, graduate students, and professionals looking to apply this powerful framework to complex, real-world systems.
Carleman Estimates in Mean Field Games - Klibanov, Michael V.
This book offers a rigorous approach to Carleman estimates, a key element of Mean Field Games theory, making it an essential resource for researchers, graduate .
Carleman Estimates in Mean Field Games - (Inverse and Ill-Posed .
This book offers a rigorous approach to Carleman estimates, a key element of Mean Field Games theory, making it an essential resource for researchers, graduate .
Carleman Estimates in Mean Field Games: Stability and Uniqueness .
This book provides a comprehensive exploration of Mean Field Games (MFG) theory, a mathematical framework for modeling the collective behavior of rational.
Carleman Estimates in Mean Field Games - De Gruyter
About this book The book covers key theoretical topics such as solution stability and uniqueness, with a particular emphasis on Carleman estimates, which are used to estimate solution errors based on noise in the input data. It also introduces the theory of Ill-Posed and Inverse Problems within MFG theory.
(PDF) H"older Stability and Uniqueness for The Mean Field Games .
We are concerned with the mathematical study of the Mean Field Games system (MFGS). In the conventional setup, the MFGS is a system of two coupled nonlinear .
Carleman Estimates in Mean Field Games Stability and Uniqueness .
The book covers key theoretical topics such as solution stability and uniqueness, with a particular emphasis on Carleman estimates, which are used to estimate .
Carleman Estimates in Mean Field Games: Stability and Uniqueness .
This book provides a comprehensive exploration of Mean Field Games (MFG) theory, a mathematical framework for modeling the collective behavior of rational .
book: Carleman Estimates in Mean Field Games - De Gruyter
The book covers key theoretical topics such as solution stability and uniqueness, with a particular emphasis on Carleman estimates, which are used to estimate .
