Multilevel Monte Carlo FDTD Method for Uncertainty Quantification
Author:
Affiliation:
1. State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China
2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
Funder
National Natural Science Foundation of China
China Scholarship Council
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/7727/9911776/09822199.pdf?arnumber=9822199
Reference29 articles.
1. Uncertainty Analyses in the Finite-Difference Time-Domain Method
2. Uncertainty analysis in EMC simulation based on Stochastic Collocation Method
3. Time-dependent generalized polynomial chaos
4. Analysis of Electromagnetic Wave Propagation in Variable Magnetized Plasma via Polynomial Chaos Expansion
5. Stochastic FDTD;smith,2011
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1. A Stochastic FDTD Algorithm for Uncertainty Quantification of Electromagnetic-Thermal Simulation;IEEE Transactions on Microwave Theory and Techniques;2024
2. Coordinated Planning of Power Systems under Uncertain Characteristics Based on the Multilinear Monte Carlo Method;Energies;2023-11-24
3. Enhanced Multilevel Monte Carlo Method Applied to FDTD for Probability Distribution Estimation;IEEE Transactions on Antennas and Propagation;2023-10
4. Probability Density Function Estimation in Multilevel Monte Carlo FDTD Method;2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC);2022-10-24
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