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Multiscale Model Reduction

Multiscale Finite Element Methods and Their Generalizations
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Éditeur :

Springer

Collection : Applied Mathematical Sciences

Paru le : 2023-06-07

This monograph is devoted to the study of multiscale model reduction methods from the point of view of multiscale finite element methods. Multiscale numerical methods have become popular tools for modeling processes with multiple scales. These methods allow reducing the degrees of freedom based...
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Description du livre

This monograph is devoted to the study of multiscale model reduction methods from the point of view of multiscale finite element methods. 


Multiscale numerical methods have become popular tools for modeling processes with multiple scales. These methods allow reducing the degrees of freedom based on local offline computations. Moreover, these methods allow deriving rigorous macroscopic equations for multiscale problems without scale separation and high contrast. Multiscale methods are also used to design efficient solvers. 


This book offers a combination of analytical and numerical methods designed for solving multiscale problems. The book mostly focuses on methods that are based on multiscale finite element methods. Both applications and theoretical developments in this field are presented. The book is suitable for graduate students and researchers, who are interested in this topic.

À propos

Auteur
Eric Chung , Yalchin Efendiev , Thomas Y. Hou
Éditeur
Springer
Collection
Applied Mathematical Sciences
Parution
2023-06-07
Pages
491 pages
EAN papier
9783031204081

Caractéristiques détaillées - droits

EAN PDF
9783031204098
Prix
147,69 €
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
11244 Ko
Ce livre est accessible aux handicaps informations d'accessibilité
EAN EPUB
9783031204098
Prix
147,69 €
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
99092 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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