Parametric/Stochastic Model Reduction: Low-Rank Representation, Non-Intrusive Bi-Fidelity Approximation, and Convergence Analysis

For practical model-based demands, such as design space exploration and uncertainty quantification (UQ), a high-fidelity model that produces accurate outputs often has high computational cost, while a low-fidelity model with less accurate outputs has low computational cost. It is often possible to c...

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Hauptverfasser:	Hampton, Jerrad, Fairbanks, Hillary, Narayan, Akil, Doostan, Alireza
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Numerical Analysis
Online-Zugang:	Volltext bestellen
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