research
∙
08/27/2021
Optimal piecewise linear data compression for solutions of parametrized partial differential equations
Model order reduction has been extensively studied over the last two dec...
share
research
∙
08/09/2021
Uncertainty quantification for industrial design using dictionaries of reduced order models
We consider the dictionary-based ROM-net (Reduced Order Model) framework...
research
∙
03/25/2021
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases
Nonlinear model order reduction has opened the door to parameter optimiz...
research
∙
01/12/2021
