Journal of Automation and Information Sciences
Publicou 12 edições por ano
ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Geometric and Variational Model Order Reduction Methods. Comparative Analysis
Volume 50,
Edição 1, 2018,
pp. 39-53
DOI: 10.1615/JAutomatInfScien.v50.i1.30
RESUMO
Numerical methods for solving model order reduction problem of complex system of large-scale dimension based on geometric and variational approaches are considered and studied. Methods comparative analysis is performed and recommendations for their practical applications are made.
CITADO POR
-
Gubarev V. F., Salnikov N. N., Melnychuk S. V., Identification of Regularized Models in the Linear Regression Class, Cybernetics and Systems Analysis, 57, 4, 2021. Crossref
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