Вдосконалення ітераційного алгоритму з реалізації способу опису екологічного стану території
Using the method of studying the ecological state of the territory in case of man-made pollution, the software application «Computer program for implementing the method of describing the contaminated territory «Random point» was implemented. This software application is designed to create models of...
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| Datum: | 2023 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2023
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| Schlagworte: | |
| Online Zugang: | https://jais.net.ua/index.php/files/article/view/77 |
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| Назва журналу: | Problems of Control and Informatics |
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Problems of Control and Informatics| Zusammenfassung: | Using the method of studying the ecological state of the territory in case of man-made pollution, the software application «Computer program for implementing the method of describing the contaminated territory «Random point» was implemented. This software application is designed to create models of the listed areas that have been exposed to hazardous substances. It is based on an approach that allows you to describe the territory in segments. However, this causes a residual approximation, which can lead to an approximate or erroneous result. The task of the work is to improve the iteration algorithm when implementing a method for describing the ecological state of a territory for constructing models of territories contaminated with hazardous substances. A special feature of solving this problem is that when using iterative formulas based on residual decomposition, there is another additional opportunity to reduce the number of actions-calculations with variable bit depth. This is due to the fact that when using an iterative р-order formula, the accuracy increases approximately several times at р-step. The presented algorithm is implemented by finding the basic sequences of iterative formulas with a modification of the Chebyshev method for constructing higher-order iterations. The use of various methods for approximating functions to obtain coefficients of basic sequences based on known decompositions. This can be used in computer implementation of programs to build models of rugged terrain, such as water bodies, models and forecasts of pollution of man-made industrial areas, settling tanks, riverbeds, mine workings. The advanced algorithm allows you to perform description tasks with greater accuracy by minimizing errors and bringing their values closer to zero. |
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