@Article{EAJAM-9-1,
author = {},
title = {A Preconditioned Fast Finite Volume Method for Distributed-Order Diffusion Equation and Applications},
journal = {East Asian Journal on Applied Mathematics},
year = {2019},
volume = {9},
number = {1},
pages = {28--44},
abstract = {<p style="text-align: justify;">A Crank-Nicolson finite volume scheme for the modeling of the Riesz space
distributed-order diffusion equation is proposed. The corresponding linear system has a
symmetric positive definite Toeplitz matrix. It can be efficiently stored in&nbsp; $\mathcal{O}$($NK$) memory. Moreover, for the finite volume scheme, a fast version of conjugate gradient (FCG)
method is developed. Compared with the Gaussian elimination method, the computational complexity is reduced from&nbsp;$\mathcal{O}$($MN$<sup>3</sup> + $NK$) to $\mathcal{O}$($l$<sub>$A$</sub>$MN$log$N$ + $NK$), where $l$<sub>$A$</sub> is
the average number of iterations at a time level. Further reduction of the computational
cost is achieved due to use of a circulant preconditioner. The preconditioned fast finite
volume method is combined with the Levenberg-Marquardt method to identify the free
parameters of a distribution function. Numerical experiments show the efficiency of the
method.</p>},
issn = {2079-7370},
doi = {https://doi.org/10.4208/eajam.160418.190518},
url = {https://global-sci.com/article/82589/a-preconditioned-fast-finite-volume-method-for-distributed-order-diffusion-equation-and-applications}
}