Search Results for author:
Found 2 papers, 0 papers with code
Active-Learning-Driven Surrogate Modeling for Efficient Simulation of Parametric Nonlinear Systems
When repeated evaluations for varying parameter configurations of a high-fidelity physical model are required, surrogate modeling techniques based on model order reduction are desired.
A Training Set Subsampling Strategy for the Reduced Basis Method
Then, for the available low-fidelity snapshots of the output variable, we apply the pivoted QR decomposition or the discrete empirical interpolation method to identify a set of sparse sampling locations in the parameter domain.
Numerical Analysis Numerical Analysis
Cannot find the paper you are looking for? You can
Submit a new open access paper.
