Accurate error estimation is crucial in model order reduction, both to o...
When repeated evaluations for varying parameter configurations of a
high...
A non-intrusive model order reduction (MOR) method that combines feature...
Model order reduction usually consists of two stages: the offline stage ...
We develop a compact, reliable model order reduction approach for fast
f...
A reliable model order reduction process for parametric analysis in
elec...
The basis generation in reduced order modeling usually requires multiple...
We present a subsampling strategy for the offline stage of the Reduced B...
The Poisson-Boltzmann equation (PBE) is a fundamental implicit solvent
c...
Motivated by a recently proposed error estimator for the transfer functi...
Interpolatory methods offer a powerful framework for generating reduced-...
An adaptive scheme to generate reduced-order models for parametric nonli...
The offline time of the reduced basis method can be very long given a la...
An adaptive parametric reduced-order modeling method based on interpolat...