Dynamic data driven methodologies for multiphysics system modeling and simulation

dc.creator	Michopoulos, J.	en
dc.creator	Farhat, C.	en
dc.creator	Houstis, E.	en
dc.creator	Tsompanopoulou, P.	en
dc.creator	Zhang, H.	en
dc.creator	Gullaud, T.	en
dc.date.accessioned	2015-11-23T10:39:37Z
dc.date.available	2015-11-23T10:39:37Z
dc.date.issued	2005
dc.identifier.isbn	3-540-26043-9
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/11615/31014
dc.description.abstract	We are presenting a progress overview associated with our work on a data-driven environment for multiphysics applications (DDEMA). In this paper, we emphasize the dynamic-data-driven adaptive modeling and simulation aspects. Adaptive simulation examples of sensor-originating data-driven precomputed solution synthesis are given for two applications. Finally, some of the computational implementation details are presented.	en
dc.source.uri	<Go to ISI>://WOS:000230023800080
dc.subject	ENVIRONMENT	en
dc.subject	Computer Science, Theory & Methods	en
dc.title	Dynamic data driven methodologies for multiphysics system modeling and simulation	en
dc.type	bookChapter	en

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