2008
DOI: 10.1016/j.cam.2007.04.011
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Fourth-order compact schemes with adaptive time step for monodomain reaction–diffusion equations

Abstract: Multigrid applied to fourth-order compact schemes for monodomain reaction-diffusion equations in two dimensions has been developed. The scheme accounts for the anisotropy of the medium, allows for any cellular activation model to be used, and incorporates an adaptive time step algorithm. Numerical simulations show up to a 40% reduction in computational time for complex cellular models as compared to second-order schemes for the same solution error. These results point to high-order schemes as valid alternative… Show more

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Cited by 19 publications
(14 citation statements)
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“…Finite difference methods have been studied in [66,223,368,399,413,449,529,568,569,591]. Finite element methods have been widely used, see e.g.…”
Section: Space Discretization Of Monodomain and Bidomain Modelsmentioning
confidence: 99%
“…Finite difference methods have been studied in [66,223,368,399,413,449,529,568,569,591]. Finite element methods have been widely used, see e.g.…”
Section: Space Discretization Of Monodomain and Bidomain Modelsmentioning
confidence: 99%
“…The order of the method has been demonstrated on an analytical solution with Neumann boundary conditions. The results also demonstrate the ability of the method in handling fully anisotropic electrophysiology problems (previous high-order schemes have been proposed for isotropic or orthotropic media with constant coefficients [21,23]). Anisotropic square samples of normal and ischemic cardiac tissue have been simulated by means of the monodomain model with the reactive term defined by the LuoRudy II dynamics.…”
Section: Introductionmentioning
confidence: 72%
“…In this regard, high-order integration methods based on compact finite difference schemes [21][22][23] offer a valid alternative for solving this problem. These schemes are in general operator specific.…”
Section: Introductionmentioning
confidence: 99%
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“…High-order numerical methods for partial differential equations (PDEs) will always be valuable for increasing the computational efficiency of numerical simulations. Thus, it is not at all surprising that a great deal of effort in numerical PDEs continues to be focused on the development of high-order numerical schemes [ 1,2,3,4,5,6,7]. Typically, high-order accuracy is achieved by constructing schemes that are formally high-order accurate.…”
Section: Introductionmentioning
confidence: 99%