The relation between the error of the data obtained as a result of a stochastic computer experiment and the quality of their smooth approximation is investigated. It is suggested that reliability should be used as a measure of closeness of agreement (approximation accuracy). The description of the electron energy liberation density function computed by the Monte Carlo simulation technique as a sum of two three-dimensional Gaussian functions is considered as an example. The computation results of reliability as a function of the modeling parameters are presented.
Department of Computer Methods of Physics, Faculty of Physics, Moscow State University, Leninskie Gory, Moscow, 119992, Russia
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