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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Document National Code:
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:
Cylinder , Spectral methods , Least squares support vector machine , Magnetohydrodynamic (MHD) , Nonlinear ODE , fractional Hermite functions , Semi-infinite
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