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Uncertainty quantification has become a hot topic in computational sciences in the last decade. Indeed computer models (a.k.a simulators) are becoming more and more complex and demanding, yet the knowledge of the input parameters to feed into the model is usually limited. Based on the available data and possibly expert knowledge, parameters are represented by random variables. Of crucial interest...
We present a fully automated method to predict the full radiation patterns and S-parameters of antennas over a large frequency bandwidth using the knowledge of the simulated results at a few frequency points. The frequency points are adaptively selected in regions of fast variations of radiation pattern and S-parameters, as well as in large unsampled regions. The method has a built-in absolute error...
Multi-objective optimization yields indispensable information about the best possible design trade-offs of an antenna structure, yet it is challenging if full-wave electromagnetic (EM) analysis is utilized for performance evaluation. The latter is a necessity for majority of contemporary antennas as it is the only way of achieving acceptable modeling accuracy. In this paper, a procedure for accelerated...
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