Fig. 1

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Comparison of the most popular interpolation methods on the log Rosenbrock function with a dataset structured as a coarse regular grid. (a) Log Rosenbrock function log R (Eq. (1)), i.e., the true function that interpolation methods are to emulate. (b) Coarse uniform grid and corresponding values of the true function. All four interpolation methods are fitted using these values only. The grid is also shown on the remaining figures. (c), (e), (g), and (i) Surrogate model obtained with each interpolation algorithm. (d), (f), (h), and (j) Absolute error (Eq. (2)) between the corresponding surrogate model and the true function.
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