Numerical Approximations of Stochastic Maxwell Equations
via Structure-Preserving Algorithms
Jialin Hong author Chuchu Chen author Lihai Ji author
Format:Paperback
Publisher:Springer Verlag, Singapore
Published:5th Jan '24
Should be back in stock very soon
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.
ISBN: 9789819966851
Dimensions: unknown
Weight: unknown
284 pages
1st ed. 2023