This analysis deploys a spectral numerical method for fractional distributed-order equations, highlighting its effectiveness and accuracy.
In this study, we present a highly efficient spectral numerical approach for solving nonlinear Fractional Distributed-Order Sine-Gordon Differential Equations (FDO-SGDEs) and Fractional Distributed-Order Klein-Gordon Differential Equations (FDO-KGDEs) considering initial and Dirichlet boundary conditions. Our proposed method utilizes the fractional-order shifted Legendre-Gauss collocation method and shifted Chebyshev-Gauss collocation method, leveraging the Riemann-Liouville fractional derivative to transform the given problems into systems of algebraic equations. The effectiveness and accuracy of this technique are demonstrated through the successful resolution of four illustrative examples.
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Abdelkawy et al. (2025) studied this question.
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