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Automatic Reduction-Order Selection for Finite-Element Macromodels

Abstract

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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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS no. 28, pages 278 - 280,
ISSN: 1531-1309
Language:
English
Publication year:
2018
Bibliographic description:
Fotyga G., Nyka K., Mrozowski M.: Automatic Reduction-Order Selection for Finite-Element Macromodels// IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS. -Vol. 28, nr. 4 (2018), s.278-280
DOI:
Digital Object Identifier (open in new tab) 10.1109/lmwc.2018.2811255
Verified by:
Gdańsk University of Technology

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