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http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10508| Назва: | Complex Systems Modeling in Python: a Manual for Self-Study of the Discipline (in Ukrainian) |
| Інші назви: | Моделювання складних систем у Python: навчально-методичний посібник для самостійного вивчення дисципліни |
| Автори: | Соловйов, Володимир Миколайович Бєлінський, Андрій Олександрович |
| Ключові слова: | складні системи рекурентний аналіз ентропійний аналіз мультифрактали фазовий простір самоорганізація складність фрактали теорія хаосу складні мережі віконна процедура незворотність важкі хвости альфа-стабільний розподіл Леві Python Jupyter Notebook Google Colab неекстенсивність триплет Тсалліса еконофізика |
| Дата публікації: | 2024 |
| Видавництво: | Видавець Третяков О. М. |
| Бібліографічний опис: | Соловйов В. М. Моделювання складних систем у Python : навчально-методичний посібник для самостійного вивчення дисципліни / В. М. Соловйов, А. О. Бєлінський ; Міністерство освіти і науки України, Криворізький державний педагогічний університет, Південноукраїнський національний педагогічний університет імені К. Д. Ушинського, Київський національний економічний університет імені Вадима Гетьмана, Державний університет економіки і технологій. - Черкаси : Видавець Третяков О. М., 2024. - 620 с. |
| Короткий огляд (реферат): | У навчальному посібнику висвітлюються основні теоретичні та інструментальні аспекти моделювання складних систем різної природи з використанням інтерактивного веб-додатку Jupyter Notebook. Для дискретних даних у вигляді часових рядів розроблено та адаптовано сучасні міждисциплінарні методи кількісної оцінки складності: (мульти-)фрактальний, рекурентний, інформаційний, ентропійний та ін. види аналізу. Запропоновано відповідні міри складності. Показано, що більшість із них можна використовувати у якості індикаторів чи передвісників критичних або кризових явищ у складних системах. Посібником зможуть скористатися як здобувачі другого (магістр) рівня вищої освіти спеціальності 014 Середня освіта (Фізика та астрономія; Інформатика; Математика; Природничі науки), так і інших спеціальностей закладів вищої освіти, наукові працівники й особи, які цікавляться методами моделювання складних систем. The handbook covers the main theoretical and instrumental aspects of modeling complex systems of different nature using the interactive web application Jupyter Notebook. For discrete data in the form of time series, modern interdisciplinary methods for quantifying complexity are developed and adapted: (multi-)fractal, recurrence, informational, entropy, and other types of analysis. The corresponding measures of complexity are proposed. It is shown that most of them can be used as indicators or precursors of critical or crisis phenomena in complex systems. The handbook can be used by applicants for the second (master's) level of higher education in the specialty 014 Secondary Education (Physics and Astronomy; Computer Science; Mathematics; Natural Sciences) and other specialties of higher education institutions, researchers and people interested in methods of complex systems modeling. Ця книга є частиною прикладного дослідження "Моніторинг, прогнозування та запобігання кризовим явищам у складних соціально-економічних системах", яке фінансується Міністерством освіти і науки України (проєкт № 0122U001694). Автори також висловлюють подяку Збройним Силам України за забезпечення безпеки при виконанні цієї роботи. Публікація та подальший розвиток цієї книги став можливим лише завдяки стійкості та мужності української армії. |
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