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Journal Science Intensive Technologies №1 for 2022 г.
Article in number:
Algebraically controlled method and algorithm for software-based solid-state multivariable modeling of computer system designs
Type of article: scientific article
DOI: https://doi.org/10.18127/j19998465-202201-07
UDC: 004.925.84
Authors:

R.V. Rudensky1, О.N. Andreeva2

1 Concern Morinsis-Agat JSC (Moscow, Russia)
2 MIREA – Russian Technological University (Moscow, Russia)
 

Abstract:

Currently, there is a need to develop and implement methods and algorithms for implementing multivariable software solid-state modeling of computer system designs. To solve this problem, it is necessary to consider in depth the structure of a 3D model using set theory.

Target. To develop an algebraically controlled method and algorithm for software solid-state multivariable modeling of computer system designs, which determines the organization of the structure of relationships between elements of the 3D model, and show their application.

Algebraically controlled methods and algorithms are considered. It is shown that their use minimizes the number of controlling numerical parameters for rebuilding the model while preserving geometric ideology. An example of their use in designing the design of an electronic device is given. Software tools are presented, with the help of which the practical implementation of the developed method and algo-rhythm was carried out.

The use of the developed method and algorithm in multivariable modeling made it possible to significantly reduce the time spent on obtaining the basic multivariable design model by up to 26%, compared to modeling without using the developed methods and algorithms of the PTMMK technique.

Pages: 51-56
For citation

Rudensky R.V., Andreeva О.N. Algebraically controlled method and algorithm for software-based solid-state multivariable modeling of computer system designs. Science Intensive Technologies. 2022. V. 23. № 1. P. 51−56. DOI: https://doi.org/10.18127/j19998465-202201-07 (in Russian)

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Date of receipt: 10.12.2021
Approved after review: 27.12.2021
Accepted for publication: 17.01.2022