Класс для численного решения стохастических дифференциальных уравнений
| Parent link: | Курзина, И. А. (химик ; 1972-). Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XX Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 25-28 апреля 2023 г..— .— Томск: Изд-во ТПУ, 2023 Т. 3 : Математика.— 2023.— С. 18-20 |
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| Summary: | Заглавие с экрана Numerical solutions of stochastic differential equations play a key role in the tasks of the financial industry. In this paper, the numerical methods of Euler and Milstein are analyzed for different discretization steps. The results obtained for the synthetic example are compared with the true value. The class sde_sim has been implemented in Python. Текстовый файл |
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2023
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| Online Access: | http://earchive.tpu.ru/handle/11683/80907 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=674328 |
| Summary: | Заглавие с экрана Numerical solutions of stochastic differential equations play a key role in the tasks of the financial industry. In this paper, the numerical methods of Euler and Milstein are analyzed for different discretization steps. The results obtained for the synthetic example are compared with the true value. The class sde_sim has been implemented in Python. Текстовый файл |
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