Numerical Approximations of Stochastic Maxwell Equations : via Structure-Preserving Algorithms Paperback / softback
by Chuchu Chen, Jialin Hong, Lihai Ji
Part of the Lecture Notes in Mathematics series
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:284 pages, 1 Illustrations, black and white; XVII, 284 p. 1 illus.
- Publisher:Springer Verlag, Singapore
- Publication Date:05/01/2024
- Category:
- ISBN:9789819966851
Information
-
Out of stock
- Format:Paperback / softback
- Pages:284 pages, 1 Illustrations, black and white; XVII, 284 p. 1 illus.
- Publisher:Springer Verlag, Singapore
- Publication Date:05/01/2024
- Category:
- ISBN:9789819966851
