MKSOR iterative method for the Grünwald implicit finite difference solution of one-dimensional time-fractional parabolic equations

Muhiddin, Fatihah Anas; Sulaiman, Jumat; Sunarto, Andang

doi:10.1063/1.5121063

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where D, L and V are the diagonals, lower triangulation and upper triangulation matrices respectively. Then, by referring to the decomposition matrix in equation 6, the general scheme of QSKSOR iterative method can be stated as follows [9], [19]…”

Section: Family Of Ksor Iterative Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Numerical Evaluation of Quarter-Sweep KSOR Method to Solve Time-Fractional Parabolic Equations

Muhiddin¹,

Sulaiman²,

Sunarto³

2020

IJETT

Self Cite

View full text Add to dashboard Cite

We study the performance of the combination of quarter-sweep iteration concept with the Kaudd Successive Over-Relaxation (KSOR) iterative method in solving the discretized one-dimensional time-fractional parabolic equation. We called the mixed of these two concepts as QSKSOR. The time-fractional derivative in Grünwald sense, together with the implicit finite difference scheme was used to discretized the tested problems to form the quarter-sweep implicit finite difference approximation equations in the sense of Grünwald type. This approximation equation of half-sweep will then generate a linear system. Next, we used the proposed QSKSOR iterative method to the generated linear systems before comparing the effectiveness between the other family of KSOR method, FSKSOR and HSKSOR with respect to the full-and half-sweep cases respectively. To do so, three examples are included. The results of this study show the superiority of the QSKSOR iterative method in terms of iteration numbers and execution time in comparison to the other two methods.

show abstract

Section: Family Of Ksor Iterative Methodsmentioning

confidence: 99%

“…Due to the excellent performance of quarter-sweep concept, it has been extensively discussed in many areas of problem solving (see in [6], [16]- [19]). Figure 1 illustrates the ideas of the iteration processes with respect to the full-, half-and quarter-sweep concepts.…”

Section: Introductionmentioning

confidence: 99%