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Numerical Approximations of Stochastic Maxwell Equations via Structure-Preserving Algorithms

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Free Download Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms by Chuchu Chen , Jialin Hong , Lihai Ji
English | PDF EPUB (True) | 2024 | 293 Pages | ISBN : 981996685X | 40.8 MB
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.


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