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[References: p. 437 (18 tit.)]

Stochastic differential equations (further referred to as SDEs) and the models based on SDE are widely used to describe stochastic processes in virtually any area of human activity, such as biology or finance. Unlike an analytical approach to solving SDE, the simulation methods allow to significantly increase the range of practical problems, which examples are given in the paper. Capture III describes the result of the comparative analysis of existing programming tools for SDE simulation, their advantages and shortcomings. It was shown that none of the existing tools completely meet the requirements formulated in Chapter III for the tool's functionality used for building a simulation model.