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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms (Lecture Notes in Mathematics) - Softcover
- PublisherSpringer
- Publication date2024
- ISBN 10 981996685X
- ISBN 13 9789819966851
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages304
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NUMERICAL APPROXIMATIONS OF STOCHASTIC MAXWELL EQUATIONS
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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms (Lecture Notes in Mathematics)
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Numerical Approximations of Stochastic Maxwell Equations: Via Structure-Preserving Algorithms
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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms (Lecture Notes in Mathematics)
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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms (Lecture Notes in Mathematics)
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Numerical Approximations of Stochastic Maxwell Equations
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Springer Nature Singapore Jan 2024, 2024
ISBN 10: 981996685X
ISBN 13: 9789819966851
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The stochastic Maxwell equations play an essential role in many fields, including fluctuational electrodynamics, statistical radiophysics, integrated circuits, and stochastic inverse problems. This book provides some recent advances in the investigation of numerical approximations of the stochastic Maxwell equations via structure-preserving algorithms. It presents an accessible overview of the construction and analysis of structure-preserving algorithms with an emphasis on the preservation of geometric structures, physical properties, and asymptotic behaviors of the stochastic Maxwell equations. A friendly introduction to the simulation of the stochastic Maxwell equations with some structure-preserving algorithms is provided using MATLAB for the reader's convenience.The objects considered in this book are related to several fascinating mathematical fields: numerical analysis, stochastic analysis, (multi-)symplectic geometry, large deviations principle, ergodic theory, partial differential equation, probability theory, etc. This book will appeal to researchers who are interested in these topics. 304 pp. Englisch. Seller Inventory # 9789819966851
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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms (Lecture Notes in Mathematics)
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Numerical Approximations of Stochastic Maxwell Equations : via Structure-Preserving Algorithms
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Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 981996685X
ISBN 13: 9789819966851
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Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The stochastic Maxwell equations play an essential role in many fields, including fluctuational electrodynamics, statistical radiophysics, integrated circuits, and stochastic inverse problems. This book provides some recent advances in the investigation of numerical approximations of the stochastic Maxwell equations via structure-preserving algorithms. It presents an accessible overview of the construction and analysis of structure-preserving algorithms with an emphasis on the preservation of geometric structures, physical properties, and asymptotic behaviors of the stochastic Maxwell equations. A friendly introduction to the simulation of the stochastic Maxwell equations with some structure-preserving algorithms is provided using MATLAB for the reader's convenience.The objects considered in this book are related to several fascinating mathematical fields: numerical analysis, stochastic analysis, (multi-)symplectic geometry, large deviations principle, ergodic theory, partial differential equation, probability theory, etc. This book will appeal to researchers who are interested in these topics. Seller Inventory # 9789819966851
Quantity: 1 available
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Numerical Approximations of Stochastic Maxwell Equations
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Paperback. Condition: Brand New. 301 pages. 9.26x6.10x0.64 inches. In Stock. Seller Inventory # x-981996685X
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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms (Lecture Notes in Mathematics)
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