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

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…