找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Numerical Approximations of Stochastic Maxwell Equations; via Structure-Preser Chuchu Chen,Jialin Hong,Lihai Ji Book 2023 The Editor(s) (if

[复制链接]
查看: 31435|回复: 35
发表于 2025-3-21 16:22:15 | 显示全部楼层 |阅读模式
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Titlebook: Numerical Approximations of Stochastic Maxwell Equations; via Structure-Preser Chuchu Chen,Jialin Hong,Lihai Ji Book 2023 The Editor(s) (if
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
doihttps://doi.org/10.1007/978-981-99-6686-8
isbn_softcover978-981-99-6685-1
isbn_ebook978-981-99-6686-8Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

书目名称Numerical Approximations of Stochastic Maxwell Equations影响因子(影响力)




书目名称Numerical Approximations of Stochastic Maxwell Equations影响因子(影响力)学科排名




书目名称Numerical Approximations of Stochastic Maxwell Equations网络公开度




书目名称Numerical Approximations of Stochastic Maxwell Equations网络公开度学科排名




书目名称Numerical Approximations of Stochastic Maxwell Equations被引频次




书目名称Numerical Approximations of Stochastic Maxwell Equations被引频次学科排名




书目名称Numerical Approximations of Stochastic Maxwell Equations年度引用




书目名称Numerical Approximations of Stochastic Maxwell Equations年度引用学科排名




书目名称Numerical Approximations of Stochastic Maxwell Equations读者反馈




书目名称Numerical Approximations of Stochastic Maxwell Equations读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:36:50 | 显示全部楼层
0075-8434 c Maxwell equations.Presents the analysis on regularities an.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 t
发表于 2025-3-22 03:22:07 | 显示全部楼层
Numerical Approximations of Stochastic Maxwell Equationsvia Structure-Preser
发表于 2025-3-22 07:37:51 | 显示全部楼层
发表于 2025-3-22 10:38:03 | 显示全部楼层
0075-8434 rtial differential equation, probability theory, etc. This book will appeal to researchers who are interested in these topics..978-981-99-6685-1978-981-99-6686-8Series ISSN 0075-8434 Series E-ISSN 1617-9692
发表于 2025-3-22 14:59:25 | 显示全部楼层
Introduction,erties, and numerical algorithms. With the development of technology, certain electromagnetic noises can be observed from various electric devices. Hence, the electromagnetic fields may not be deterministic but should be modeled by random fields, namely by the solution of the stochastic Maxwell equa
发表于 2025-3-22 18:47:02 | 显示全部楼层
Introduction,erties, and numerical algorithms. With the development of technology, certain electromagnetic noises can be observed from various electric devices. Hence, the electromagnetic fields may not be deterministic but should be modeled by random fields, namely by the solution of the stochastic Maxwell equations.
发表于 2025-3-22 22:08:54 | 显示全部楼层
发表于 2025-3-23 03:47:04 | 显示全部楼层
https://doi.org/10.1007/978-981-99-6686-8Stochastic Maxwell equations; Stochastic symplectic and multi-symplectic structures; Stochastic energy
发表于 2025-3-23 09:31:00 | 显示全部楼层
Chuchu Chen,Jialin Hong,Lihai JiProvides the study of intrinsic properties possessed by stochastic Maxwell equations.Constructs structure-preserving algorithms of stochastic Maxwell equations.Presents the analysis on regularities an
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-27 20:38
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表