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

The computational approximation of solutions to nonlinear partial differential equations (PDEs) such as the Navier–Stokes equations is often a formidable task. For this reason, there is significant interest in the development of very low-dimensional models that can be used to determine reasonably ac...

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Bibliographic Details
Published in:	Computer methods in applied mechanics and engineering Vol. 196; no. 4; pp. 1030 - 1047
Main Authors:	Gunzburger, Max D., Peterson, Janet S., Shadid, John N.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 2007 Elsevier
Subjects:	Computational techniques Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) General theory Mathematical methods in physics Multiple parameters Nonlinear partial differential equations Physics Reduced-order modeling Nonlinear partial differential equations Reduced-order modeling Multiple parameters Concretes Dirichlet problem Boundary-value problems Modelling Reduced order systems Karhunen-Loeve transforms Non linear effect Navier-Stokes equations
Online Access:	Get full text
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