Numerical Analysis of Time-Fractional Diffusion Equations via a Novel Approach
dc.authorid | Shah, Nehad Ali/0000-0002-1949-5643 | |
dc.authorid | saleem, Salman/0000-0001-6217-3626 | |
dc.authorid | Nonlaopon, Kamsing/0000-0002-7469-5402 | |
dc.contributor.author | Shah, Nehad Ali | |
dc.contributor.author | Saleem, S. | |
dc.contributor.author | Akgul, Ali | |
dc.contributor.author | Nonlaopon, Kamsing | |
dc.contributor.author | Chung, Jae Dong | |
dc.date.accessioned | 2024-12-24T19:29:49Z | |
dc.date.available | 2024-12-24T19:29:49Z | |
dc.date.issued | 2021 | |
dc.department | Siirt Üniversitesi | |
dc.description.abstract | The aim of this paper is a new semianalytical technique called the variational iteration transform method for solving fractional-order diffusion equations. In the variational iteration technique, identifying of the Lagrange multiplier is an essential rule, and variational theory is commonly used for this purpose. The current technique has the edge over other methods as it does not need extra parameters and polynomials. The validity of the proposed method is verified by considering some numerical problems. The solution achieved has shown that the better accuracy of the proposed technique. This paper proposes a simpler method to calculate the multiplier using the Shehu transformation, making a valuable technique to researchers dealing with various linear and nonlinear problems. | |
dc.description.sponsorship | Deanship of Scientific Research at King Khalid University [RGP.2/38/42]; Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Korea government (MOTIE) [20202020900060] | |
dc.description.sponsorship | The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through a research group program under Grant No. RGP.2/38/42. This work was supported by Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE) (20202020900060, The Development and Application of Operational Technology in Smart Farm Utilizing Waste Heat from Particulates Reduced Smokestack) | |
dc.identifier.doi | 10.1155/2021/9945364 | |
dc.identifier.issn | 2314-8896 | |
dc.identifier.issn | 2314-8888 | |
dc.identifier.scopus | 2-s2.0-85107820633 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1155/2021/9945364 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12604/7243 | |
dc.identifier.volume | 2021 | |
dc.identifier.wos | WOS:000665104700002 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Hindawi Ltd | |
dc.relation.ispartof | Journal of Function Spaces | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.snmz | KA_20241222 | |
dc.title | Numerical Analysis of Time-Fractional Diffusion Equations via a Novel Approach | |
dc.type | Article |