Often the numerical simulations of your process can be computationally expensive (e.g. complex CFD simulations) and, depending on the computing budget, very few can be executed. In those cases, mathematical interpolation techniques called response surface methods (RSM) can be used to obtain approximate evaluations of the design response in unknown conditions. KIMEME supports several efficient algorithms for RSM (such as Kriging, RBF, Neural Networks, Adaptive Genetic Programming etc.) and guides you in the choice of the best modelling method.