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Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high dimensional input/output spaces

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Figure

Figure 1. ESGPMR algorithm for code implementation.
Table 1. Relative errors between the true and reduced-rank approximation REtrue-red and between and the true and the predictedconcentration fields REtrue-pred for three different tolerances ε
Figure 4. Permeability field used for the prediction of the concentration and streamfunction fields shown in figures 5 and 6.
Figure 5. True (input (a), reduced rank (b) and predicted (c) concentration fields for the permeability shown in figure 4
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