Litcius/Paper detail

Iterative method for solving one-dimensional fractional mathematical physics model via quarter-sweep and PAOR

Andang Sunarto, Praveen Agarwal, Jumat Sulaiman, Jackel Vui Lung Chew, Elayaraja Aruchunan

2021Advances in Difference Equations25 citationsDOIOpen Access PDF

Abstract

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 coefficients. With the quarter-sweep technique and the preconditioned iterative method, computing the time-fractional differential equation solutions can be more efficient 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 solutions’ 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 methods. 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.

Topics & Concepts

MathematicsRelaxation (psychology)Partial differential equationDifferential equationOrdinary differential equationApplied mathematicsIterative methodFractional calculusFinite differenceFinite difference methodMathematical analysisMathematical optimizationPsychologySocial psychologyFractional Differential Equations SolutionsDifferential Equations and Numerical MethodsNumerical methods in engineering