Digital modeling of multidimensional dynamic systems in face of random signals

Algorithms are found for digital modeling of multidimensional stochastic dynamic systems which insure mean square convergence with a varying degree of accuracy. Solutions of the original equations or understood as a generalized stochastic integral. Specifics of modeling with a constant and variable integration step are considered. Data on FORTRAN programs developed for the purpose are given.