书目名称 | Numerical Approximations of Stochastic Maxwell Equations | 副标题 | via Structure-Preser | 编辑 | Chuchu Chen,Jialin Hong,Lihai Ji | 视频video | | 概述 | Provides the study of intrinsic properties possessed by stochastic Maxwell equations.Constructs structure-preserving algorithms of stochastic Maxwell equations.Presents the analysis on regularities an | 丛书名称 | Lecture Notes in Mathematics | 图书封面 |  | 描述 | .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.. | 出版日期 | Book 2023 | 关键词 | Stochastic Maxwell equations; Stochastic symplectic and multi-symplectic structures; Stochastic energy | 版次 | 1 | doi | https://doi.org/10.1007/978-981-99-6686-8 | isbn_softcover | 978-981-99-6685-1 | isbn_ebook | 978-981-99-6686-8Series ISSN 0075-8434 Series E-ISSN 1617-9692 | issn_series | 0075-8434 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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