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Implementation of an Optimization Algorithm for a New General Class of Two-Dimensional Fractional PDEs

Author

Listed:
  • Zakieh Avazzadeh

    (Stony Brook Institute at Anhui University, Anhui University
    University of South Africa)

  • Hossein Hassani

    (Anand International College of Engineering)

  • Mohammad Javad Ebadi

    (Chabahar Maritime University)

  • Ali Bayati Eshkaftaki

    (Shahrekord University)

  • Ahmed Hendy

    (Benha University)

Abstract

In recent years, the inherent numerical difficulties in the study of two-dimensional fractional differential equations (T-FDEs) make them challenging for investigation. In the present contribution, we introduce a new general class of T-FDEs to be solved. Their solution is addressed by the use of unique polynomials of the generalized shifted Legendre functions. For this purpose, we evaluate the association of new fractional and ordinary operational matrices using the Lagrange multipliers algorithm. The analysis of the convergence is done and the existence of a unique solution for the T-FDEs is proved. Three problems are considered to test the proposed methodology. It is pointed out that our methodology can be considered as a promising strategy to solve two-dimensional variable-order fractional differential equations and 2D variable-order fractional optimal control problems.

Suggested Citation

  • Zakieh Avazzadeh & Hossein Hassani & Mohammad Javad Ebadi & Ali Bayati Eshkaftaki & Ahmed Hendy, 2025. "Implementation of an Optimization Algorithm for a New General Class of Two-Dimensional Fractional PDEs," Journal of Optimization Theory and Applications, Springer, vol. 205(2), pages 1-22, May.
  • Handle: RePEc:spr:joptap:v:205:y:2025:i:2:d:10.1007_s10957-025-02643-2
    DOI: 10.1007/s10957-025-02643-2
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    References listed on IDEAS

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    1. Hesameddini, Esmail & Shahbazi, Mehdi, 2018. "Two-dimensional shifted Legendre polynomials operational matrix method for solving the two-dimensional integral equations of fractional order," Applied Mathematics and Computation, Elsevier, vol. 322(C), pages 40-54.
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