Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences

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Бібліографічні деталі
Дата:2024
Автор: A. Kuzmychov
Формат: Стаття
Мова:Англійська
Опубліковано: 2024
Назва видання:System Research in Energy
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0001481359
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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spelling open-sciencenbuvgovua-1131552024-12-23T18:46:15Z Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences A. Kuzmychov 2786-7102 2024 en System Research in Energy http://jnas.nbuv.gov.ua/article/UJRN-0001481359 Article
spellingShingle System Research in Energy
A. Kuzmychov
Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
title Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
title_full Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
title_fullStr Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
title_full_unstemmed Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
title_short Quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
title_sort quantitative assessment of the network structures functional efficiency by analyzing of sensitivity optimization model to external influences
url http://jnas.nbuv.gov.ua/article/UJRN-0001481359
work_keys_str_mv AT akuzmychov quantitativeassessmentofthenetworkstructuresfunctionalefficiencybyanalyzingofsensitivityoptimizationmodeltoexternalinfluences