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https://doi.org/10.1109/lmwc.2018.2811255
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Cite Publication Date: Apr 1, 2018 | |
 Citations: 4 |
Affiliation: Gdańsk University of Technology
An automatic reduction-order selection algorithm for macromodels in finite-element analysis is presented. The algorithm is based on a goal-oriented a posteriori error estimator that operates on low-order reduced blocks of matrices, and hence, it can be evaluated extremely quickly.
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