Creating accurate multivariate rational interpolation models of microwave circuits by using efficient adaptive sampling to minimize the number of computational electromagnetic analyses
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiation
Link
http://xplorestaging.ieee.org/ielx5/22/20341/00939922.pdf?arnumber=939922
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1. AIMx: An Extended Adaptive Integral Method for the Fast Electromagnetic Modeling of Complex Structures;IEEE Transactions on Antennas and Propagation;2021-12
2. Attenuation estimation of long coaxial cable with regularization method;2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO);2020-12-07
3. An Adaptive Sampling Process for Automated Multivariate Macromodeling Based on Hamiltonian-Based Passivity Metrics;IEEE Transactions on Components, Packaging and Manufacturing Technology;2019-09
4. Fast and stable rational RBF-based partition of unity interpolation;Journal of Computational and Applied Mathematics;2019-03
5. Minimal Rational Interpolation and its Application in Fast Broadband Simulation;IEEE Access;2019
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