A semi-implicit predictor-corrector methods for time-fractional Benjamin-Bona-Mahony-Burgers equations

Abstract

In this paper, we introduce an economical technique based on a semi-implicit predictor-corrector scheme for solving fractional Benjamin-Bona-Mahony-Burgers equations, in which the Adams-Moulton schemes are used for predictor and corrector schemes. To resolve a nonlinearity of the given equations in the predictor procedure, the weighted Rubin-Graves linearization scheme is applied to convert the linearized equations at the predictor procedure. Moreover, to alleviate weak regularity at the initial time point, mixed meshes based on uniform grid are used so that it can save the computational costs by not recalculating the coefficients of Adams-Moulton methods for smaller time intervals. The convergence analysis are analytically executed to derive the convergence order and are numerically supported. Several numerical results are provided to show the efficiency of the proposed scheme.