Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| Title: | Algorithms for optimizing conditions complex catalytic reactions |
| Issue Date: | May-2019 |
| Publisher: | Новая техника |
| Citation: | Koledina K.F. Algorithms for optimizing conditions complex catalytic reactions / Koledina K.F., Koledin S.N. // Сборник трудов ИТНТ-2019 [Текст]: V междунар. конф. и молодеж. шк. "Информ. технологии и нанотехнологии": 21-24 мая: в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В.А. Соболева]. – Самара: Новая техника, 2019. – Т. 3: Математическое моделирование физико-технических процессов и систем. - 2019. - С. 693-699. |
| Abstract: | The paper developed a method for studying complex catalytic reactions using optimization algorithms. At the rst stage, an inverse kinetic problem of recovering the values of unknown parameters is solved using single-purpose optimization algorithms. At the second stage, on the basis of a kinetic model, a problem of determining the optimal conditions for the reaction using multi-purpose optimization algorithms is solved. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/11461 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper107.pdf | Основная статья | 3.36 MB | Adobe PDF | View/Open |
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