Model Reduction of Parametrized Systems

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Éditeur :

Springer


Collection :

MS&A

Paru le : 2017-09-05

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Description

The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems.
The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effort, carried out over the last 12 years, to build a growing research community in this field.


Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).
Pages
504 pages
Collection
MS&A
Parution
2017-09-05
Marque
Springer
EAN papier
9783319587851
EAN PDF
9783319587868

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
18524 Ko
Prix
137,14 €
EAN EPUB
9783319587868

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
9738 Ko
Prix
137,14 €