Scinovex
article Open Access

Iterative method for solving fractional mathematical physics model

Journal of Mathematical Problems Equations and Statistics · 2024 · Vol. 5(2) · pp. 106–113

Abstract

This paper will solve one of the fractional mathematical physics models, a one-dimensional time-fractional differential equation, by utilizing the second-order quarter-sweep finite-difference scheme and the preconditioned accelerated over-relaxation method. The proposed numerical method offers an efficient solution to the time-fractional differential equation by applying the computational complexity reduction approach by the quarter-sweep technique. The finite-difference approximation equation will be formulated based on the Caputo’s time-fractional derivative and quarter-sweep central difference in space. The developed approximation equation generates a linear system on a large scale and has sparse coefficient in terms of the number of iterations and computation time. The quarter-sweep computes a quarter of the total mesh points using the preconditioned iterative method while maintaining the solution’s accuracy. A numerical example will demonstrate the efficiency of the proposed quarter-sweep preconditioned accelerated over-relaxation method against the half-sweep preconditioned accelerated over-relaxation, and the full-sweep preconditioned accelerated over-relaxation method. The numerical finding showed that the quarter sweep finite difference scheme and preconditioned accelerated over-relaxation method can serve as an efficient numerical method to solve fractional differential equations.

Fractional Differential Equations SolutionsApplied mathematicsIterative methodFractional calculusCalculus (dental)MathematicsComputer scienceMathematical optimization
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
23%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

Iterative method for solving fractional mathematical physics model · Scinovex