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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:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Preface to the first volume of Model Order Reduction
  • Contents
  • 1 Model order reduction: basic concepts and notation
  • 2 Balancing-related model reduction methods
  • 3 Model order reduction based on moment-matching
  • 4 Modal methods for reduced order modeling
  • 5 Post-processing methods for passivity enforcement
  • 6 The Loewner framework for system identification and reduction
  • 7 Manifold interpolation
  • 8 Vector fitting
  • 9 Kernel methods for surrogate modeling
  • 10 Kriging: methods and applications
  • Index