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Numerical Approximations of Stochastic Maxwell Equations via Structure-Preserving Algorithms /

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...

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Váldodahkkit: Chen, Chuchu (Dahkki), Hong, Jialin (Dahkki), Ji, Lihai (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Preanttus:1st ed. 2023.
Ráidu:Lecture Notes in Mathematics, 2341
Fáttát:
Numerical analysis.
Probabilities.
Differential equations.
Numerical Analysis.
Probability Theory.
Differential Equations.
Liŋkkat:https://doi.org/10.1007/978-981-99-6686-8
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Sisdoallologahallan:
  • Introduction
  • Solution Theory of Stochastic Maxwell Equations
  • Intrinsic Properties of Stochastic Maxwell Equations
  • Structure-Preserving Algorithms for Stochastic Maxwell Equations
  • Convergence Analysis of Structure-Preserving Algorithms
  • Implementation of Numerical Experiments
  • Appendix A: Basic Identities and Inequalities
  • Appendix B: Semigroup, Sobolev Space, and Differential Calculus
  • Appendix C: Estimates Related to Maxwell Operators
  • Appendix D: Some Results of Stochastic Partial Differential Equations
  • References.

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