Multiscale Model Reduction / Applied Mathematical Sciences Bd.212 (PDF)
Multiscale Finite Element Methods and Their Generalizations
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (pdf)
Fr. 165.50
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Multiscale Model Reduction / Applied Mathematical Sciences Bd.212 (PDF)“
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.
Autoren-Porträt von Eric Chung, Yalchin Efendiev, Thomas Y. Hou
¿Eric Chung is a Professor in the Department of Mathematics and an Outstanding Fellow of the Faculty of Science at the Chinese University of Hong Kong. His research focuses on numerical discretizations of partial differential equations and the development of computational multiscale methods for challenging applications.Yalchin Efendiev is a Professor in the Department of Mathematics at the Texas A&M University.
Thomas Y. Hou is the Charles Lee Powell Professor of Applied and Computational Mathematics at the California Institute of Technology. His research focuses on multiscale analysis and computation, fluid interface problems, and singularity formation of 3D Euler and Navier-Stokes equations.
Bibliographische Angaben
- Autoren: Eric Chung , Yalchin Efendiev , Thomas Y. Hou
- 2023, 1st ed. 2023, 491 Seiten, Englisch
- Verlag: Springer Nature Switzerland
- ISBN-10: 3031204093
- ISBN-13: 9783031204098
- Erscheinungsdatum: 07.06.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 10 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Multiscale Model Reduction / Applied Mathematical Sciences Bd.212"
0 Gebrauchte Artikel zu „Multiscale Model Reduction / Applied Mathematical Sciences Bd.212“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Multiscale Model Reduction / Applied Mathematical Sciences Bd.212".
Kommentar verfassen