COMPUTATIONAL ANALYSIS OF TIME-FRACTIONAL SOBOLEV EQUATIONS USING A HYBRID METHODOLOGY WITH THE STRANG SPLITTING TECHNIQUE

The time-fractional Sobolev equations in two and three dimensions are investigated for numerical solutions using a relatively new computational methodology. The Caputo derivative is used for the time-fractional part of the problem, which is subsequently coupled with a splitting technique. For the spatial derivatives, a meshless collocation method based on Fibonacci and Lucas polynomials is utilized. These Lucas and Fibonacci polynomials are non-orthogonal and eliminate the need for interval transformations, facilitating the efficient approximation of higher-order derivatives for unknown functions. To validate the accuracy of the proposed method, various error norms are applied across both regular and irregular domains. Additionally, the results obtained using the proposed method are also compared with the exact solution and other numerical methods documented in recent studies.

Authors

Institutions

Publication Details

Journal
Fractals
Published
2026-04-17
DOI
https://doi.org/10.1142/s0218348x25402741
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COMPUTATIONAL ANALYSIS OF TIME-FRACTIONAL SOBOLEV EQUATIONS USING A HYBRID METHODOLOGY WITH THE STRANG SPLITTING TECHNIQUE

Normy Norfiza Abdul Razak, Hisham Mohammad Alkhawar, Thabet Abdeljawad, Imtiaz Ahmad et al.
Fractals
Fractional Differential Equations Solutions
article

COMPUTATIONAL ANALYSIS OF TIME-FRACTIONAL SOBOLEV EQUATIONS USING A HYBRID METHODOLOGY WITH THE STRANG SPLITTING TECHNIQUE

Normy Norfiza Abdul Razak, Hisham Mohammad Alkhawar, Thabet Abdeljawad, Imtiaz Ahmad, Aziz Khan, Rashid Jan
article en

Abstract

The time-fractional Sobolev equations in two and three dimensions are investigated for numerical solutions using a relatively new computational methodology. The Caputo derivative is used for the time-fractional part of the problem, which is subsequently coupled with a splitting technique. For the spatial derivatives, a meshless collocation method based on Fibonacci and Lucas polynomials is utilized. These Lucas and Fibonacci polynomials are non-orthogonal and eliminate the need for interval transformations, facilitating the efficient approximation of higher-order derivatives for unknown functions. To validate the accuracy of the proposed method, various error norms are applied across both regular and irregular domains. Additionally, the results obtained using the proposed method are also compared with the exact solution and other numerical methods documented in recent studies.

Fractals
Prince Sultan University (SA), Qassim University (SA), China Medical University (TW), Sefako Makgatho Health Sciences University (ZA), İstanbul Gelişim Üniversitesi (TR), Universiti Tenaga Nasional (MY), Saveetha University (IN)
Openalex Percentile: Top 15%
Fractional Differential Equations Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.