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文章基本信息

  • 标题:Computational Optimization of Residual Power Series Algorithm for Certain Classes of Fuzzy Fractional Differential Equations
  • 本地全文:下载
  • 作者:Mohammad Alaroud ; Mohammed Al-Smadi ; Rokiah Rozita Ahmad
  • 期刊名称:International Journal of Differential Equations
  • 印刷版ISSN:1687-9643
  • 电子版ISSN:1687-9651
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/8686502
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This paper aims to present a novel optimization technique, the residual power series (RPS), for handling certain classes of fuzzy fractional differential equations of order under strongly generalized differentiability. The proposed technique relies on generalized Taylor formula under Caputo sense aiming at extracting a supportive analytical solution in convergent series form. The RPS algorithm is significant and straightforward tool for creating a fractional power series solution without linearization, limitation on the problem’s nature, sort of classification, or perturbation. Some illustrative examples are provided to demonstrate the feasibility of the RPS scheme. The results obtained show that the scheme is simple and reliable and there is good agreement with exact solution.
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