Shahid Beheshti UniversityComputational Mathematics and Computer Modeling with Applications (CMCMA)2783-48591220221201Numerical solution for solving magnetohydrodynamic (MHD) flow of nanofluid by least squares support vector regression10412110363010.52547/CMCMA.1.2.104ENAidaPakniyatDepartment of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, IranJournal Article20230510This 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.https://cmcma.sbu.ac.ir/article_103630_82223eb2e1c99c9ffd046d302c15d050.pdf