Editorial for the special issue on advances in forward and inverse surrogate modeling forhigh‐frequencydesign
Author:
Affiliation:
1. Engineering Optimization & Modeling Center, Department of Engineering Reykjavik University Reykjavik Iceland
2. Faculty of Electronics, Telecommunications and Informatics Gdansk University of Technology Gdansk Poland
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnm.2813
Reference12 articles.
1. Recent advances in parametric modeling of microwave components using combined neural network and transfer function
2. Recent advances in performance‐driven surrogate modeling of high‐frequency structures;Koziel S;Int J Numer Model,2020
3. Robust adaptive least squares polynomial chaos expansions in high‐frequency applications;Loukrezis D;Int J Numer Model,2020
4. Conformally mapped polynomial chaos expansions for Maxwell's source problem with random input data
5. Statistical modeling of frequency responses using linear Bayesian vector fitting;De Ridder S;Int J Numer Model,2020
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