2023
DOI: 10.3390/sym15020519
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A Method for Solving Time-Fractional Initial Boundary Value Problems of Variable Order

Abstract: Various scholars have lately employed a wide range of strategies to resolve specific types of symmetrical fractional differential equations. This paper introduces a new implicit finite difference method with variable-order time-fractional Caputo derivative to solve semi-linear initial boundary value problems. Despite its extensive use in other areas, fractional calculus has only recently been applied to physics. This paper aims to find a solution for the fractional diffusion equation using an implicit finite d… Show more

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Cited by 6 publications
(3 citation statements)
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“…Several techniques have been introduced in the literature to solve ordinary and partial diferential equations. Galerkin method [21], implicit fnite diference scheme [22], Adomian decomposition method [23], Crank-Nicolson scheme [24], homotopy perturbation method [25], backward Euler method [26], diferential transform method [27], and stabilized meshless technique [28] are some of them. Many of these approaches have been utilized for the numerical solution of fractional diferential equations including the Navier-Stokes equation [29,30], Schrödinger equation [31], COVID-19 model [32], Kundu-Mukherjee-Naskar equation [33], and Black-Scholes model [34].…”
Section: Introductionmentioning
confidence: 99%
“…Several techniques have been introduced in the literature to solve ordinary and partial diferential equations. Galerkin method [21], implicit fnite diference scheme [22], Adomian decomposition method [23], Crank-Nicolson scheme [24], homotopy perturbation method [25], backward Euler method [26], diferential transform method [27], and stabilized meshless technique [28] are some of them. Many of these approaches have been utilized for the numerical solution of fractional diferential equations including the Navier-Stokes equation [29,30], Schrödinger equation [31], COVID-19 model [32], Kundu-Mukherjee-Naskar equation [33], and Black-Scholes model [34].…”
Section: Introductionmentioning
confidence: 99%
“…This method involves approximating the solution of a differential equation using a series of orthogonal functions, such as Fourier series or Chebyshev polynomials and then using the corresponding operational matrices to solve for the coefficients of the series. For more detail, we refer the reader to the references [17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, FDEs have a large flood of applications in different scopes such as chemistry, physics, finance, engineering, and infectious disease. The combination of FDEs and other analytical and numerical methods can be found in many works such as impulsive FDEs [6,7], implicit hybrid FDEs [8][9][10], mathematical modelings with the help of FDEs [11][12][13][14][15], neutral FDEs [16,17], p-Laplacian FDEs [18], variable order time-fractional FDEs [19], random and fuzzy FDEs [20,21], integro-differential inclusions [22,23], and references therein.…”
Section: Introductionmentioning
confidence: 99%