A short review of FDTD-based methods for uncertainty quantification in computational electromagnetics

DOI10.1155/2017/9247978zbMath1426.78035OpenAlexW2728046720WikidataQ59147879 ScholiaQ59147879MaRDI QIDQ1993301

Theodoros T. Zygiridis

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/9247978

Mathematics Subject Classification ID

Finite difference methods applied to problems in optics and electromagnetic theory (78M20) Research exposition (monographs, survey articles) pertaining to optics and electromagnetic theory (78-02)

Uses Software

• CUDA

Cites Work

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• Stochastic FDTD accuracy improvement through correlation coefficient estimation
• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
• Stochastic FDTD for Analysis of Statistical Variation in Electromagnetic Fields
• A Small-Perturbation Automatic-Differentiation Method for Determining Uncertainty in Computational Electromagnetics
• Single Realization Stochastic FDTD for Weak Scattering Waves in Biological Random Media
• A 3-D Stochastic FDTD Model of Electromagnetic Wave Propagation in Magnetized Ionosphere Plasma

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