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Gdańsk University of Technology

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Automatic Reduction-Order Selection for Finite-Element Macromodels

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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DOI
Digital Object Identifier link open in new tab 10.1109/lmwc.2018.2811255
Category
Publikacja w czasopiśmie
Type
artykuł w czasopiśmie wyróżnionym w JCR
Language
angielski
Publication year
2018

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