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Charles Tadjeran

Researcher at University of Nevada, Reno

Publications -  9
Citations -  3523

Charles Tadjeran is an academic researcher from University of Nevada, Reno. The author has contributed to research in topics: Fractional calculus & Numerical analysis. The author has an hindex of 7, co-authored 9 publications receiving 3226 citations.

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Finite difference approximations for fractional advection-dispersion flow equations

TL;DR: In this paper, the authors developed practical numerical methods to solve one dimensional fractional advection-dispersion equations with variable coefficients on a finite domain and demonstrated the practical application of these results is illustrated by modeling a radial flow problem.
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Finite difference approximations for two-sided space-fractional partial differential equations

TL;DR: In this paper, the authors examined some practical numerical methods to solve a class of initial-boundary value fractional partial differential equations with variable coefficients on a finite domain, and the stability, consistency, and (therefore) convergence of the methods are discussed.
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A second-order accurate numerical approximation for the fractional diffusion equation

TL;DR: It is shown that the fractional Crank-Nicholson method based on the shifted Grunwald formula is unconditionally stable and compared with the exact analytical solution for its order of convergence.
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Finite difference methods for two-dimensional fractional dispersion equation

TL;DR: In this article, a practical alternating directions implicit method to solve a class of two-dimensional initial-boundary value fractional partial differential equations with variable coefficients on a finite domain is discussed.
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A second-order accurate numerical method for the two-dimensional fractional diffusion equation

TL;DR: This numerical method combines the alternating directions implicit (ADI) approach with a Crank-Nicolson discretization and a Richardson extrapolation to obtain an unconditionally stable second-order accurate finite difference method.