Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 55 citations · 50 references
Natural SciencesComputational EngineeringMathematicsComputational MechanicsComputational PhysicsDifferential EquationsIntegral EquationsNumerical AlgorithmsNumerical AnalysisNumerical IntegrationNumerical Methods For Differential EquationsConvergenceDifferential Equation SolversFractional Differential EquationsNonlinear Differential-algebraic EquationsNumerical Integration Error AnalysisNumerical Simulation
The Atangana–Baleanu derivative and the Laguerre polynomial are used in this analysis to define a new computational technique for solving fractional differential equations. To serve this purpose, we have derived the operational matrices of fractional integration and fractional integro-differentiation via Laguerre polynomials. Using the derived operational matrices and collocation points, we reduce the fractional differential equations to a system of linear or nonlinear algebraic equations. For the error of the operational matrix of the fractional integration, an error bound is derived. To illustrate the accuracy and the reliability of the projected algorithm, numerical simulation is presented, and the nature of attained results is captured in diverse order. Finally, the achieved consequences enlighten that the solutions obtained by the proposed scheme give better convergence to the actual solution than the results available in the literature.
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