Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques

no code implementations • 9 Nov 2015 • Azam Moosavi, Razvan Stefanescu, Adrian Sandu

Reduced order models are computationally inexpensive approximations that capture the important dynamical characteristics of large, high-fidelity computer models of physical systems.

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