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Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data

Author
GUNZBURGER, Max D1 ; PETERSON, Janet S1 ; SHADID, John N2
[1] School of Computational Science, Florida State University, Tallahassee, FL 32306-4120, United States
[2] Computational Sciences Department, Sandia National Laboratories, P. O. Box 5800, MS 0316, Albuquerque, NM 87185-0316, United States
Source

Computer methods in applied mechanics and engineering. 2007, Vol 196, Num 4-6, pp 1030-1047, 18 p ; ref : 50 ref

CODEN
CMMECC
ISSN
0045-7825
Scientific domain
Computer science; Mechanics acoustics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Multiple parameters Nonlinear partial differential equations Reduced-order modeling
Keyword (fr)
Béton Effet non linéaire Equation Navier Stokes Modélisation Problème Dirichlet Problème valeur limite Système ordre réduit Transformation Karhunen Loeve
Keyword (en)
Concretes Non linear effect Navier-Stokes equations Modelling Dirichlet problem Boundary-value problems Reduced order systems Karhunen-Loeve transforms
Keyword (es)
Efecto no lineal
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00B Mathematical methods in physics / 001B00B70 Computational techniques

Pascal
001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40G Fluid dynamics / 001B40G10 General theory

Discipline
Mathematics Physics : fluid mechanics Theoretical physics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18389703

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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