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Numerical Approximations of Stochastic Maxwell Equations: via Structure-Preserving Algorithms
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Provides the study of intrinsic properties possessed by stochastic Maxwell equations Constructs structure-preserving algorithms of stochastic Maxwell equations Presents the analysis on regularities and error estimates for the stochastic structure-preserving algorithms
Provides the study of intrinsic properties possessed by stochastic Maxwell equations Constructs structure-preserving algorithms of stochastic Maxwell equations Presents the analysis on regularities and error estimates for the stochastic structure-preserving algorithms
Additional information
| Book Format | Hardcover, Softcover |
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Book information
Edition
1st Edition
ISBN [Softcover]
9789819966851
Publisher
Springer
Year
2023
Pages
XVII, 284 p.
Series Title
Lecture Notes in Mathematics
Language
English

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