2024 : 12 : 27
Farshid Mirzaee

Farshid Mirzaee

Academic rank: Professor
ORCID: 0000-0002-1429-2548
Education: PhD.
ScopusId: 6508385954
HIndex: 34/00
Faculty: Mathematical Sciences and Statistics
Address: Faculty of Mathematical Sciences and Statistics, Department of Applied Mathematics, Malayer University, 4 Km Malayer-Arak Road, P. O. Box 65719-95863, Malayer, Iran.
Phone: +98 - 81 - 32457459

Research

Title
Application of combination schemes based on radial basis functions and finite difference to solve stochastic coupled nonlinear time fractional sine-Gordon equations
Type
JournalPaper
Keywords
Fractional stochastic sine-Gordon equation; Stochastic partial differential equations; Caputo fractional derivative; Finite difference method; Brownian motion process
Year
2022
Journal Computational and Applied Mathematics
DOI
Researchers Farshid Mirzaee

Abstract

One of the most powerful tools for solving partial differential equations is approximation using the radial basis functions (RBFs). Thismethod can be very spectrally accurate because it is meshfree. This paper presents a semi-discretization numerical scheme to solve the stochastic coupled nonlinear time fractional sine-Gordon equations, which are obtained by replacing integer time derivative with the Caputo fractional time derivative of order α (1 < α ≤ 2) and adding stochastic factors. Using thismethod, the stochastic coupled nonlinear time fractional sine-Gordon equation is transformed to a system of nonlinear algebraic equations that can be solved by a suitable numerical method. This method is a combination of finite difference (FD) method and RBFs. First, time is overcome by forward FD method, then in the direction of space using the meshless method based on RBFs, the unknown function is approximated. This method is very practical, accurate and appropriate. Finally, two examples show the accuracy and efficiency of the proposed method.