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Numerical Evaluation of Fractional-Order Forced Duffing Equation with Non-Classical Boundary Conditions via Reproducing Kernel Hilbert Method

  • Nadir Djeddi
  • , Mohammed Al-Smadi
  • , Shaher Momani
  • , Nesrine Harrouche
  • University of Tebessa
  • Lusail University
  • University of Jijel

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

1 Scopus citations

Abstract

In this work, we aim to propose a reliable numerical scheme for the numerical investigation of solutions to the fractional forced Duffing equation with non-classical boundary conditions. The solution methodology in this scheme is mainly founded on the reproducing kernel theory, whereby an orthonormal basis is generated from the reproducing kernel functions which correspond to the non-classical constraint conditions of the proposed equation, to finally formulate the solution in the form of a uniformly convergent expansion series on the desired reproducing Hilbert space. Convergence analysis is obtained in a preferred reproducing Hilbert space. Finally, to ensure the structural integrity and reliability of the offered algorithm, we scrutinize the approximate solutions to a meaningful numerical example.

Original languageEnglish
Title of host publication2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350321685
DOIs
StatePublished - 2023
Event2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023 - Ajman, United Arab Emirates
Duration: 14 Mar 202316 Mar 2023

Publication series

Name2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023

Conference

Conference2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023
Country/TerritoryUnited Arab Emirates
CityAjman
Period14/03/2316/03/23

Keywords

  • Fractional forced Duffing equation
  • non-classical boundary conditions
  • orthonormal function system
  • reproducing kernel Hilbert space method

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