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Modeling Excitable Cells with the EMI Equations: Spectral Analysis and Iterative Solution Strategy

Articolo
Data di Pubblicazione:
2024
Abstract:
In 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.
Tipologia CRIS:
Articolo su Rivista
Keywords:
15A18; 35Q92; 65F08; 65F50; 65N30; 65N55; Electrophysiology; Iterative solvers; Preconditioning; Spectral distribution; Symbol
Elenco autori:
Benedusi, P.; Ferrari, P.; Rognes, M. E.; Serra Capizzano, S.
Autori di Ateneo:
SERRA CAPIZZANO STEFANO
Link alla scheda completa:
https://irinsubria.uninsubria.it/handle/11383/2186694
Link al Full Text:
https://irinsubria.uninsubria.it//retrieve/handle/11383/2186694/345119/Modeling-Excitable-Cells-with-the-EMI-Equations-Spectral-Analysis-and-Iterative-Solution-StrategyJournal-of-Scientific-Computing.pdf
Pubblicato in:
JOURNAL OF SCIENTIFIC COMPUTING
Journal
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