In this paper we intend to establish fast numerical approaches to solve a class of initial-boundary problem of time-space fractional convection–diffusion equations. We present a new unconditionally stable implicit difference method, which is derived from the weighted and shifted Grünwald formula, and converges with the second-order accuracy in both time and space variables. Then, we show that the discretizations lead to Toeplitz-like systems of linear equations that can be efficiently solved by Krylov subspace solvers with suitable circulant preconditioners. Each time level of these methods reduces the memory requirement of the proposed implicit difference scheme from $${\mathcal {O}}(N^2)$$ O ( N 2 ) to $${\mathcal {O}}(N)$$ O ( N ) and the computational complexity from $${\mathcal {O}}(N^3)$$ O ( N 3 ) to $${\mathcal {O}}(N\log N)$$ O ( N log N ) in each iterative step, where N is the number of grid nodes. Extensive numerical examples are reported to support our theoretical findings and show the utility of these methods over traditional direct solvers of the implicit difference method, in terms of computational cost and memory requirements.
Journal of Scientific Computing – Springer Journals
Published: Feb 17, 2017
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