Alrehaili, AH, Walkley, MA orcid.org/0000-0003-2541-4173, Jimack, PK et al. (1 more author) (2019) An efficient numerical algorithm for a multiphase tumour model. Computers and Mathematics with Applications, 78 (8). pp. 2734-2745. ISSN 0898-1221
Abstract
This paper is concerned with the development and application of optimally efficient numerical methods for the simulation of vascular tumour growth. This model used involves the flow and interaction of four different, but coupled, phases which are each treated as incompressible fluids, Hubbard and Byrne (2013). A finite volume scheme is used to approximate mass conservation, with conforming finite element schemes to approximate momentum conservation and an associated equation. The principal contribution of this paper is the development of a novel block preconditioner for solving the linear systems arising from the discrete momentum equations at each time step. In particular, the preconditioned system has both a solution time and a memory requirement that is shown to scale almost linearly with the problem size.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Published by Elsevier Ltd. This is an author produced version of an article published in Computers & Mathematics with Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multiphase system; Tumour model; Numerical simulations; Preconditioning |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Apr 2019 13:42 |
Last Modified: | 10 May 2020 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.camwa.2019.04.017 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145088 |