An efficient numerical algorithm for a multiphase tumour model

Alrehaili, A. H.; Walkley, M. A.; Jimack, P.K.; Hubbard, M. E.

Abstract

© 2019 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.

Citation

Alrehaili, A. H., Walkley, M. A., Jimack, P., & Hubbard, M. E. (2019). An efficient numerical algorithm for a multiphase tumour model. Computers and Mathematics with Applications, 78(8), 2734-2745. https://doi.org/10.1016/j.camwa.2019.04.017

• Journal Article Type: Article
• Acceptance Date: Apr 14, 2019
• Online Publication Date: May 10, 2019
• Publication Date: Oct 15, 2019
• Deposit Date: Jul 10, 2019
• Publicly Available Date: May 11, 2020
• Journal: Computers & Mathematics with Applications
• Print ISSN: 0898-1221
• Electronic ISSN: 1873-7668
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 78
• Issue: 8
• Pages: 2734-2745
• DOI: https://doi.org/10.1016/j.camwa.2019.04.017
• Keywords: Modelling and Simulation; Computational Theory and Mathematics; Computational Mathematics
• Public URL: https://nottingham-repository.worktribe.com/output/2295100
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0898122119302159
• Contract Date: Jul 10, 2019