Numerical solution for solving magnetohydrodynamic (MHD) flow of nanofluid by least squares support vector regression

سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 73

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شناسه ملی سند علمی:

JR_CMCMA-1-2_010

تاریخ نمایه سازی: 10 تیر 1403

چکیده مقاله:

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.

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نویسندگان

Aida Pakniyat

Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran