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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
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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
  1. 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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