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

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樓主
發(fā)表于 2025-3-21 16:22:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Numerical Approximations of Stochastic Maxwell Equations
副標(biāo)題via Structure-Preser
編輯Chuchu Chen,Jialin Hong,Lihai Ji
視頻videohttp://file.papertrans.cn/669/668961/668961.mp4
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
叢書名稱Lecture Notes in Mathematics
圖書封面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
關(guān)鍵詞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
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沙發(fā)
發(fā)表于 2025-3-21 22:36:50 | 只看該作者
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
板凳
發(fā)表于 2025-3-22 03:22:07 | 只看該作者
Numerical Approximations of Stochastic Maxwell Equationsvia Structure-Preser
地板
發(fā)表于 2025-3-22 07:37:51 | 只看該作者
5#
發(fā)表于 2025-3-22 10:38:03 | 只看該作者
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
6#
發(fā)表于 2025-3-22 14:59:25 | 只看該作者
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
7#
發(fā)表于 2025-3-22 18:47:02 | 只看該作者
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.
8#
發(fā)表于 2025-3-22 22:08:54 | 只看該作者
9#
發(fā)表于 2025-3-23 03:47:04 | 只看該作者
https://doi.org/10.1007/978-981-99-6686-8Stochastic Maxwell equations; Stochastic symplectic and multi-symplectic structures; Stochastic energy
10#
發(fā)表于 2025-3-23 09:31:00 | 只看該作者
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
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