Annotation
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.
© 2016 Publisher M.V.Lomonosov Moscow State University
Authors
N.N. Negulyaev
Department of Computer Methods of Physics, Faculty of Physics, Moscow State University, Leninskie Gory, Moscow, 119992, Russia
Department of Computer Methods of Physics, Faculty of Physics, Moscow State University, Leninskie Gory, Moscow, 119992, Russia