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An efficient analytical approach for nonlinear fractional Swift-Hohenberg model involving conformable operator

  • Rasha Amryeen
  • , Fatimah Noor Harun
  • , Mohammed Al-Smadi
  • , Azwani Alias
  • Universiti Malaysia Terengganu
  • Al-Balqa Applied University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The pivotal aim of the present work is to obtain analytical and approximate solution for nonlinear time-fractional Swift-Hohenberg equations (FS-HEs) using the conformable residual series method (CRSM). The fractional derivative is proposed within a conformable concept. The proposed method is graceful amalgamations of the conformable residual error functions and generalized Talyor series in the sense of conformable operator. The truncated approximate solution is substituted in the nonlinear fractional model where the conformable derivative to the residual function is equal to zero. The convergence analysis is discussed to show the accuracy and efficiency of the CRSM to obtain approximate solutions for the FS-HEs. Numerical simulation with graphical representation is also given to validate and illustrate the proposed method. The obtained results indicate that the CRS technique is effective, simple, and systematic for analyzing the behavior of nonlinear partial differential equations of fractional order arisen in many areas of physics and science.

Original languageEnglish
Title of host publicationInternational Uzbekistan-Malaysia Conference on Computational Models and Technologies, CMT 2020
EditorsRakhmatillo D. Aloev, Kholmat M. Shadimetov, Abdullo R. Hayotov, Mirzoali U. Khudoyberganov
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735441101
DOIs
StatePublished - 16 Jul 2021
Externally publishedYes
Event2020 International Uzbekistan-Malaysia Conference on Computational Models and Technologies, CMT 2020 - Tashkent, Uzbekistan
Duration: 24 Aug 202025 Aug 2020

Publication series

NameAIP Conference Proceedings
Volume2365
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2020 International Uzbekistan-Malaysia Conference on Computational Models and Technologies, CMT 2020
Country/TerritoryUzbekistan
CityTashkent
Period24/08/2025/08/20

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