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

Publish Year: 1401
Type: Journal paper
Language: English
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JR_CMCMA-1-2_010

Index date: 30 June 2024

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

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.

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

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

Aida Pakniyat

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