MODEL REDUCTION FOR LARGE-SCALE SYSTEMS WITH HIGH-DIMENSIONAL PARAMETRIC INPUT SPACE

MODEL REDUCTION FOR LARGE-SCALE SYSTEMS WITH HIGH-DIMENSIONAL PARAMETRIC INPUT SPACE

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A model-constrained adaptive sampling methodology is proposed for the reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a reduced basis approach, which requires the computation of high-fidelity solutions at a number of sample points throu...

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Bibliographic Details
Main Authors: Ghattas, O., Bui-Thanh, Tan, Willcox, Karen E.
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Society for Industrial and Applied Mathematics 2010
Online Access:http://hdl.handle.net/1721.1/52410
https://orcid.org/0000-0003-2156-9338

Internet

http://hdl.handle.net/1721.1/52410
https://orcid.org/0000-0003-2156-9338

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