Modeling Excitable Cells with the EMI Equations: Spectral Analysis and Iterative Solution Strategy
-
Published:2024-02-04
Issue:3
Volume:98
Page:
-
ISSN:0885-7474
-
Container-title:Journal of Scientific Computing
-
language:en
-
Short-container-title:J Sci Comput
Author:
Benedusi PietroORCID, Ferrari Paola, Rognes Marie E., Serra-Capizzano Stefano
Abstract
AbstractIn this work, we are interested in solving large linear systems stemming from the extra–membrane–intra model, which is employed for simulating excitable tissues at a cellular scale. After setting the related systems of partial differential equations equipped with proper boundary conditions, we provide its finite element discretization and focus on the resulting large linear systems. We first give a relatively complete spectral analysis using tools from the theory of Generalized Locally Toeplitz matrix sequences. The obtained spectral information is used for designing appropriate preconditioned Krylov solvers. Through numerical experiments, we show that the presented solution strategy is robust w.r.t. problem and discretization parameters, efficient and scalable.
Funder
Norges Forskningsråd European High-Performance Computing Joint Undertaking
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. Abdellah, M., Cantero, J.J.G., Guerrero, N.R., Foni, A., Coggan, J.S., Calì, C., Agus, M., Zisis, E., Keller, D., Hadwiger, M., et al.: Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Brief. Bioinform. 24(1), bbac491 (2023) 2. Alnæs, M., Blechta, J., Hake, J., Johansson, A., Kehlet, B., Logg, A., Richardson, C., Ring, J., Rognes, M.E., Wells, G.N.: The FEniCS project version 1.5. Arch. Numer. Softw. 3(100), 9–23 (2015) 3. Axelsson, O., Karátson, J., Magoulès, F.: Robust superlinear Krylov convergence for complex noncoercive compact-equivalent operator preconditioners. SIAM J. Numer. Anal. 61(2), 1057–1079 (2023) 4. Axelsson, O., Lindskog, G.: On the rate of convergence of the preconditioned conjugate gradient method. Numer. Math. 48, 499–523 (1986) 5. Barbarino, G.: A systematic approach to reduced GLT. BIT Numer. Math. 62(3), 681–743 (2022)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|