TY - JOUR
ID - 103630
TI - Numerical solution for solving magnetohydrodynamic (MHD) flow of nanofluid by least squares support vector regression
JO - Computational Mathematics and Computer Modeling with Applications (CMCMA)
JA - CMCMA
LA - en
SN -
AU - Pakniyat, Aida
AD - Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran
Y1 - 2022
PY - 2022
VL - 1
IS - 2
SP - 104
EP - 121
KW - Cylinder, Spectral methods
KW - Least squares support vector machine
KW - Magnetohydrodynamic (MHD)
KW - Nonlinear ODE
KW - fractional Hermite functions
KW - Semi-infinite
DO - 10.52547/CMCMA.1.2.104
N2 - 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.
UR - https://cmcma.sbu.ac.ir/article_103630.html
L1 - https://cmcma.sbu.ac.ir/article_103630_82223eb2e1c99c9ffd046d302c15d050.pdf
ER -