Cargando…

Composite Backward Differentiation Formula for the Bidomain Equations

The bidomain equations have been widely used to model the electrical activity of cardiac tissue. While it is well-known that implicit methods have much better stability than explicit methods, implicit methods usually require the solution of a very large nonlinear system of equations at each timestep...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Xindan, Henriquez, Craig S., Ying, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767930/
https://www.ncbi.nlm.nih.gov/pubmed/33381051
http://dx.doi.org/10.3389/fphys.2020.591159
_version_ 1783629070937882624
author Gao, Xindan
Henriquez, Craig S.
Ying, Wenjun
author_facet Gao, Xindan
Henriquez, Craig S.
Ying, Wenjun
author_sort Gao, Xindan
collection PubMed
description The bidomain equations have been widely used to model the electrical activity of cardiac tissue. While it is well-known that implicit methods have much better stability than explicit methods, implicit methods usually require the solution of a very large nonlinear system of equations at each timestep which is computationally prohibitive. In this work, we present two fully implicit time integration methods for the bidomain equations: the backward Euler method and a second-order one-step two-stage composite backward differentiation formula (CBDF2) which is an L-stable time integration method. Using the backward Euler method as fundamental building blocks, the CBDF2 scheme is easily implementable. After solving the nonlinear system resulting from application of the above two fully implicit schemes by a nonlinear elimination method, the obtained nonlinear global system has a much smaller size, whose Jacobian is symmetric and possibly positive definite. Thus, the residual equation of the approximate Newton approach for the global system can be efficiently solved by standard optimal solvers. As an alternative, we point out that the above two implicit methods combined with operator splittings can also efficiently solve the bidomain equations. Numerical results show that the CBDF2 scheme is an efficient time integration method while achieving high stability and accuracy.
format Online
Article
Text
id pubmed-7767930
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-77679302020-12-29 Composite Backward Differentiation Formula for the Bidomain Equations Gao, Xindan Henriquez, Craig S. Ying, Wenjun Front Physiol Physiology The bidomain equations have been widely used to model the electrical activity of cardiac tissue. While it is well-known that implicit methods have much better stability than explicit methods, implicit methods usually require the solution of a very large nonlinear system of equations at each timestep which is computationally prohibitive. In this work, we present two fully implicit time integration methods for the bidomain equations: the backward Euler method and a second-order one-step two-stage composite backward differentiation formula (CBDF2) which is an L-stable time integration method. Using the backward Euler method as fundamental building blocks, the CBDF2 scheme is easily implementable. After solving the nonlinear system resulting from application of the above two fully implicit schemes by a nonlinear elimination method, the obtained nonlinear global system has a much smaller size, whose Jacobian is symmetric and possibly positive definite. Thus, the residual equation of the approximate Newton approach for the global system can be efficiently solved by standard optimal solvers. As an alternative, we point out that the above two implicit methods combined with operator splittings can also efficiently solve the bidomain equations. Numerical results show that the CBDF2 scheme is an efficient time integration method while achieving high stability and accuracy. Frontiers Media S.A. 2020-12-14 /pmc/articles/PMC7767930/ /pubmed/33381051 http://dx.doi.org/10.3389/fphys.2020.591159 Text en Copyright © 2020 Gao, Henriquez and Ying. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Gao, Xindan
Henriquez, Craig S.
Ying, Wenjun
Composite Backward Differentiation Formula for the Bidomain Equations
title Composite Backward Differentiation Formula for the Bidomain Equations
title_full Composite Backward Differentiation Formula for the Bidomain Equations
title_fullStr Composite Backward Differentiation Formula for the Bidomain Equations
title_full_unstemmed Composite Backward Differentiation Formula for the Bidomain Equations
title_short Composite Backward Differentiation Formula for the Bidomain Equations
title_sort composite backward differentiation formula for the bidomain equations
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767930/
https://www.ncbi.nlm.nih.gov/pubmed/33381051
http://dx.doi.org/10.3389/fphys.2020.591159
work_keys_str_mv AT gaoxindan compositebackwarddifferentiationformulaforthebidomainequations
AT henriquezcraigs compositebackwarddifferentiationformulaforthebidomainequations
AT yingwenjun compositebackwarddifferentiationformulaforthebidomainequations