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Comparison of NOP and ANIO methods performance on noisy experimental data for polynomial approximations of different degree. Comparison is performed based on the criteria a the ability of the approximation to predict clean (noiseless) data, from the noisy version of which it was identified; b the ability of the approximation to predict brand new data obtained under new constraints; and c the difference between the approximation and original cost functions
