Adaptive sampling applied to multivariate,multiple output rational interpolation models with application to microwave circuits |
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Authors: | Robert Lehmensiek,Petrie Meyer,Martinette Mü ller |
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Abstract: | A fast and efficient adaptive sampling algorithm for multivariate, multiple output rational interpolation models is presented, which is based on convergents of Thiele type branched continued fractions. The multiple output interpolation model consists of a set of rational interpolants, and each interpolant models one of the output parameters. A single global error function is defined that incorporates all the output parameters, and it is used for the selection of the same set of support points for all the interpolants. The technique is evaluated on several passive microwave structures and compared to previously published results. © 2002 Wiley Periodicals, Inc. Int J RF and Microwave CAE 12: 332–340, 2002. Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mmce10032 |
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Keywords: | multivariate adaptive sampling multivariate rational interpolation model‐based parameter estimation surrogate modeling computer‐aided design |
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