Abstract

One of the main qualitative indicators of computing tools is the accura-cy of the results of solving applied problems by them, in particular, prob-lems of modeling and control of dynamic systems. However, despite the widespread use of computer technology (CT), the problem of assessing the accuracy of calculations cannot be considered solved, and its relevance is growing due to the rapid development and spread of cybernetic tools for various purposes. The severity of the problem lies in the complexity of the analysis of calculation errors, which leads to the cumbersomeness of ana-lytical justifications and the large volume of calculations required to obtain specific numerical data.To solve many technical and research problems, both universal and specialized OT tools are widely used. The characteristic difference of the latter from universal tools of OT is a deliberately narrow class of algo-rithms that are implemented, oriented (class) to solving a limited range of applied problems. At the same time, it is naturally expected to achieve a number of certain (compared to universal OT tools) advantages, which usually include one or a group of factors, such as:increased speed, a non-analytical method of solving problems (for analog specialized OT tools), reduced mass-dimensional characteristics and cost, etc. It should be noted that the problem of accuracy is relevant for both universal and specialized OT tools, being somewhat transformed, depending on the type of tool and the principle of its action, for example, the originality of primary errors.

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