Modulating Functions Based Algorithm for the Estimation of the Coefficients and Differentiation Order for a Space-Fractional Advection-Dispersion Equation

Abeer Aldoghaither, Da-Yan Liu, Taous-Meriem Laleg-Kirati

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

In this paper, a new method, based on the so-called modulating functions, is proposed to estimate average velocity, dispersion coefficient, and differentiation order in a space-fractional advection-dispersion equation, where the average velocity and the dispersion coefficient are space-varying. First, the average velocity and the dispersion coefficient are estimated by applying the modulating functions method, where the problem is transformed into a linear system of algebraic equations. Then, the modulating functions method combined with a Newton's iteration algorithm is applied to estimate the coefficients and the differentiation order simultaneously. The local convergence of the proposed method is proved. Numerical results are presented with noisy measurements to show the effectiveness and robustness of the proposed method. It is worth mentioning that this method can be extended to general fractional partial differential equations.
Original languageEnglish (US)
Pages (from-to)A2813-A2839
Number of pages1
JournalSIAM Journal on Scientific Computing
Volume37
Issue number6
DOIs
StatePublished - Dec 2 2015

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