Model Order Reduction. Volume 1, System- and Data-Driven Methods and Algorithms /

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Benner, Peter (Contribuidor, Editor ), Feng, Lihong (Contribuidor), Gosea, Ion Victor (Contribuidor), Grivet-Talocia, Stefano (Contribuidor, Editor ), Haasdonk, Bernard (Contribuidor), Karachalios, Dimitrios S. (Contribuidor), Kleijnen, Jack P. C. (Contribuidor), Magdeburg, Luìs Miguel Silveira (Contribuidor), Mahdiabadi, Morteza Karamooz (Contribuidor), Quarteroni, Alfio (Contribuidor, Editor ), Rozza, Gianluigi (Contribuidor, Editor ), Santin, Gabriele (Contribuidor), Schilders, Wil (Contribuidor, Editor ), Silveira, Luis Miguel (Contribuidor), Silveira, Luís Miguel (Contribuidor, Editor ), Tiso, Paolo (Contribuidor), Triverio, Piero (Contribuidor), Zimmermann, Ralf (Contribuidor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter, [2021]
Colección:Model Order Reduction ; Volume 1
Temas:
Technology.
Computational physics.
Computersimulation.
Mathematisches Modell.
Ordnungsreduktion.
Technologie.
MATHEMATICS / Numerical Analysis.
Technology
Acceso en línea:Texto completo
Descripción
Sumario:An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.
Descripción Física:1 online resource (X, 378 p.).
ISBN:9783110498967
3110498960

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