NANAOct 18, 2017

An efficient differential quadrature method for fractional advection-diffusion equation

arXiv:1611.0159723 citationsh-index: 25
Originality Synthesis-oriented
AI Analysis

For researchers in computational mathematics and physics, this provides a direct numerical approach for fractional ADEs, but the novelty is incremental as it combines existing techniques.

The paper proposes efficient differential quadrature methods for solving fractional advection-diffusion equations, achieving high accuracy and stability on benchmark problems, with simulations of soliton and Gaussian pulse propagation.

This article studies a direct numerical approach for fractional advection-diffusion equations (ADEs). Using a set of cubic trigonometric B-splines as test functions, a differential quadrature (DQ) method is firstly proposed for the 1D and 2D time-fractional ADEs of order $(0,1]$. The weighted coefficients are determined, and with them, the original equation is transformed into a group of general ordinary differential equations (ODEs), which are discretized by an effective difference scheme or Runge-Kutta method. The stability is investigated under a mild theoretical condition. Secondly, based on a set of cubic B-splines, we develop a new Crank-Nicolson type DQ method for the 2D space-fractional ADEs without advection. The DQ approximations to fractional derivatives are introduced and the values of the fractional derivatives of B-splines are computed by deriving explicit formulas. The presented DQ methods are evaluated on five benchmark problems and the concrete simulations of the unsteady propagation of solitons and Gaussian pulse. In comparison with the existing algorithms in the open literature, numerical results finally illustrate the validity and accuracy.

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