The aim of the present work is to design, analyze theoretically, and test numerically, a generalized Dryja–Smith–Widlund (GDSW) preconditioner for composite Discontinuous Galerkin discretizations of multicompartment parabolic reaction–diffusion equations, where the solution can exhibit natural discontinuities across the domain. We prove that the resulting preconditioned operator for the solution of the discrete system arising at each time step converges with a scalable and quasi-optimal upper bound for the condition number. The GDSW preconditioner is then applied to the EMI (Extracellular - Membrane - Intracellular) reaction–diffusion system, recently proposed to model microscopically the spatiotemporal evolution of cardiac bioelectrical potentials. Numerical tests validate the scalability and quasi-optimality of the EMI-GDSW preconditioner, and investigate its robustness with respect to the time-step size as well as jumps in the diffusion coefficients.

GDSW preconditioners for composite Discontinuous Galerkin discretizations of multicompartment reaction–diffusion problems / N.M.M. Huynh, L.F. Pavarino, S. Scacchi. - In: COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. - ISSN 0045-7825. - 433:Part A(2025 Jan 01), pp. 117501.1-117501.18. [10.1016/j.cma.2024.117501]

GDSW preconditioners for composite Discontinuous Galerkin discretizations of multicompartment reaction–diffusion problems

N.M.M. Huynh
Primo
;
L.F. Pavarino
Penultimo
;
S. Scacchi
Ultimo
2025

Abstract

The aim of the present work is to design, analyze theoretically, and test numerically, a generalized Dryja–Smith–Widlund (GDSW) preconditioner for composite Discontinuous Galerkin discretizations of multicompartment parabolic reaction–diffusion equations, where the solution can exhibit natural discontinuities across the domain. We prove that the resulting preconditioned operator for the solution of the discrete system arising at each time step converges with a scalable and quasi-optimal upper bound for the condition number. The GDSW preconditioner is then applied to the EMI (Extracellular - Membrane - Intracellular) reaction–diffusion system, recently proposed to model microscopically the spatiotemporal evolution of cardiac bioelectrical potentials. Numerical tests validate the scalability and quasi-optimality of the EMI-GDSW preconditioner, and investigate its robustness with respect to the time-step size as well as jumps in the diffusion coefficients.
BDDC preconditioners; Cardiac cell-by-cell models; Composite Discontinuous Galerkin methods; Scalable Domain Decomposition methods;
Settore MATH-05/A - Analisi numerica
   Numerical modeling of cardiac electrophysiology at the cellular scale
   MICROCARD
   European Commission
   Horizon 2020 Framework Programme
   955495

   Efficient and Sustainable Numerical Solvers for Cardiac Cell-by-Cell Models: Scalable Domain Decomposition Methods and Deep Operator Learning
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   P2022B38NR_002

   Computational modeling of the human heart: from efficient numerical solvers to cardiac digital twins
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   202232A8AN_003
1-gen-2025
nov-2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1171969
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