Numerical solution for solving magnetohydrodynamic (MHD) flow of nanofluid by least squares support vector regression | ||
| Computational Mathematics and Computer Modeling with Applications (CMCMA) | ||
| دوره 1، شماره 2، اسفند 2022، صفحه 104-121 اصل مقاله (443.62 K) | ||
| نوع مقاله: Regular paper | ||
| شناسه دیجیتال (DOI): 10.52547/CMCMA.1.2.104 | ||
| نویسنده | ||
| Aida Pakniyat* | ||
| Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran | ||
| چکیده | ||
| This paper introduces a new numerical solution based on the least squares support vector machine (LS-SVR) for solving nonlinear ordinary differential equations of high dimensionality. We apply the quasilinearization method to linearize the magnetohydrodynamic (MHD) flow of nanofluid around a stretching cylinder, thereby transforming it into a linear problem. We then utilize LS-SVR with fractional Hermite functions as basis functions to solve this problem over a semi-infinite interval. Our numerical results confirm the effectiveness of this approach. | ||
| کلیدواژهها | ||
| Cylinder, Spectral methods؛ Least squares support vector machine؛ Magnetohydrodynamic (MHD)؛ Nonlinear ODE؛ fractional Hermite functions؛ Semi-infinite | ||
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آمار تعداد مشاهده مقاله: 162 تعداد دریافت فایل اصل مقاله: 226 |
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