Fig. 10
From: Enhancing CFD predictions in shape design problems by model and parameter space reduction
Sensitivity analysis of the dimension of the training set for the DMD (left) and for the response surface using GPR (right). For the DMD, we use 70 samples (of the parametric space) evolving in time in \([12, 20]~\hbox {s}\) and we measure the mean relative error at time \(30~\hbox {s}\) varying the sampling frequency; for the GPR, we build the response surface using up to 70 sampling lift coefficients at time \(20~\hbox {s}\) and computing the mean relative error over the test dataset composed by 100 test deformations