This paper focuses on highly-efficient numerical methods for solving space-fractional diffusion equations. By combining the fourth-order quasi-compact differ- ence scheme and boundary value methods, a class of quasi-compact boundary value methods are constructed. In order to accelerate the convergence rate of this class of methods, the Kronecker product splitting (KPS) iteration method and the precondi- tioned method with KPS preconditioner are proposed. A convergence criterion for the KPS iteration method is derived. A numerical experiment further illustrates the computational efficiency and accuracy of the proposed methods. Moreover, a numer- ical comparison with the preconditioned method with Strang-type preconditioner is given, which shows that the preconditioned method with KPS preconditioner is com- parable in computational efficiency.
Preconditioned quasi-compact boundary value methods for space-fractional diffusion equations / Yongtao Zhou, Chengjian Zhang, Luigi Brugnano. - In: NUMERICAL ALGORITHMS. - ISSN 1017-1398. - STAMPA. - 84:(2020), pp. 633-649. [10.1007/s11075-019-00773-z]
Preconditioned quasi-compact boundary value methods for space-fractional diffusion equations
Luigi Brugnano
2020
Abstract
This paper focuses on highly-efficient numerical methods for solving space-fractional diffusion equations. By combining the fourth-order quasi-compact differ- ence scheme and boundary value methods, a class of quasi-compact boundary value methods are constructed. In order to accelerate the convergence rate of this class of methods, the Kronecker product splitting (KPS) iteration method and the precondi- tioned method with KPS preconditioner are proposed. A convergence criterion for the KPS iteration method is derived. A numerical experiment further illustrates the computational efficiency and accuracy of the proposed methods. Moreover, a numer- ical comparison with the preconditioned method with Strang-type preconditioner is given, which shows that the preconditioned method with KPS preconditioner is com- parable in computational efficiency.| File | Dimensione | Formato | |
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