Advanced Numerical Methods for Fractional Functional Models

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Numerical and Computational Methods".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 883

Special Issue Editors


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Guest Editor
Department of Mathematics, Near East University TRNC, Mersin 10, Turkey
Interests: analytical methods; numerical methods; fractional differential equations; wave propagation; mathematical physics; nonlinear partial differential equations
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Guest Editor
Department of Mathematics, Near East University TRNC, Mersin 10, Turkey
Interests: numerical analysis; fractional integral equations; fractional partial differential equation; mathematical models
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Guest Editor
Faculty of Engineering and Natural Sciences, Istanbul Okan University, 34959 Istanbul, Turkey
Interests: fuzzy systems; fractional modelling; optical solitons; applied artificial intelligence
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Guest Editor
Department of Mathematics, Near East University TRNC, Mersin 10, Turkey
Interests: lie groups; geometry; differential geometry; pure mathematics; Riemannian geometry; fractional differential equations

Special Issue Information

Dear Colleagues,

Many powerful techniques such as partial differential equations, integral equations, and integro-differential equations have been used to model a wide variety of nonlinear phenomena from nonlinear optics to plasma physics, circuit theory, and biology. Although the usefulness of such techniques in modeling nonlinear phenomena is undeniable, researchers have faced problems in achieving the necessary efficiency to do so. Today, these problems are mitigated when such techniques are used in combination with fractional operators, which is the subject of much research. Such problems can be handled with a wide range of useful methods including finite difference methods, radial basis function methods, and spectral methods (collocation, Galerkin, and Tau). The key goal of the current Special Issue is to present the latest research on the solutions to the above problems involving fractional operators using advanced numerical methods. Original research and review articles are highly welcomed. Potential topics include but are not limited to the following:

  • Advanced numerical methods for fractional partial differential equations;
  • Advanced numerical methods for fractional integral equations;
  • Advanced numerical methods for integro-differential equations involving fractional operators;
  • Advanced numerical methods for systems of fractional differential equations;
  • Advanced numerical methods for systems of fractional functional models.

Dr. Kamyar Hosseini
Dr. Khadijeh Sadri
Prof. Dr. Evren Hınçal
Prof. Dr. Soheil Salahshour
Dr. Farzaneh Alizadeh
Guest Editors

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Keywords

  • numerical methods
  • approximation methods
  • fractional differential equations
  • fractional partial differential equations
  • fractional integral equations
  • fractional functional models

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Published Papers (1 paper)

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Research

30 pages, 2587 KiB  
Article
A Local Radial Basis Function Method for Numerical Approximation of Multidimensional Multi-Term Time-Fractional Mixed Wave-Diffusion and Subdiffusion Equation Arising in Fluid Mechanics
by Kamran, Ujala Gul, Zareen A. Khan, Salma Haque and Nabil Mlaiki
Fractal Fract. 2024, 8(11), 639; https://doi.org/10.3390/fractalfract8110639 - 29 Oct 2024
Viewed by 674
Abstract
This article develops a simple hybrid localized mesh-free method (LMM) for the numerical modeling of new mixed subdiffusion and wave-diffusion equation with multi-term time-fractional derivatives. Unlike conventional multi-term fractional wave-diffusion or subdiffusion equations, this equation features a unique time–space coupled derivative while simultaneously [...] Read more.
This article develops a simple hybrid localized mesh-free method (LMM) for the numerical modeling of new mixed subdiffusion and wave-diffusion equation with multi-term time-fractional derivatives. Unlike conventional multi-term fractional wave-diffusion or subdiffusion equations, this equation features a unique time–space coupled derivative while simultaneously incorporating both wave-diffusion and subdiffusion terms. Our proposed method follows three basic steps: (i) The given equation is transformed into a time-independent form using the Laplace transform (LT); (ii) the LMM is then used to solve the transformed equation in the LT domain; (iii) finally, the time domain solution is obtained by inverting the LT. We use the improved Talbot method and the Stehfest method to invert the LT. The LMM is used to circumvent the shape parameter sensitivity and ill-conditioning of interpolation matrices that commonly arise in global mesh-free methods. Traditional time-stepping methods achieve accuracy only with very small time steps, significantly increasing the computational time. To overcome these shortcomings, the LT is used to provide a more powerful alternative by removing the need for fine temporal discretization. Additionally, the Ulam–Hyers stability of the considered model is analyzed. Four numerical examples are presented to illustrate the effectiveness and practical applicability of the method. Full article
(This article belongs to the Special Issue Advanced Numerical Methods for Fractional Functional Models)
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