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
“…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%
“…Figure 1 shows the action potential for the LR2 model and the associated total ionic current, I ion . The solution of problem (5) with boundary conditions (6) is usually performed by means of finite differences or finite elements for the spatial discretization and an explicit or semi-implicit method for the temporal part [13,14,18,23]. By semi-implicit it is understood, implicit for the diffusive term and explicit for the reactive term.…”
SUMMARYMany problems in biology and engineering are governed by anisotropic reaction-diffusion equations with a very rapidly varying reaction term. These characteristics of the system imply the use of very fine meshes and small time steps in order to accurately capture the propagating wave avoiding the appearance of spurious oscillations in the wave front. This work develops a fourth-order compact scheme for anisotropic reaction-diffusion equations with stiff reactive terms. As mentioned, the scheme accounts for the anisotropy of the media and incorporates an adaptive time step for handling the stiff reactive term. The high-order scheme allows working with coarser meshes without compromising numerical accuracy rendering a more efficient numerical algorithm by reducing the total computation time and memory requirements. The order of convergence of the method has been demonstrated on an analytical solution with Neumann boundary conditions. The scheme has also been implemented for the solution of anisotropic electrophysiology problems. Anisotropic square samples of normal and ischemic cardiac tissue have been simulated by means of the monodomain model with the reactive term defined by Luo-Rudy II dynamics. The simulations proved the effectiveness of the method in handling anisotropic heterogeneous non-linear reaction-diffusion problems. Bidimensional tests also indicate that the fourth-order scheme requires meshes about 45% coarser than the standard second-order method in order to achieve the same accuracy of the results.
“…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.…”
In this article, we present a simple technique for boosting the order of accuracy of finite difference schemes for time dependent partial differential equations by optimally selecting the time step used to advance the numerical solution and adding defect correction terms in a non-iterative manner. The power of the technique is its ability to extract as much accuracy as possible from existing finite difference schemes with minimal additional effort. Through straightforward numerical analysis arguments, we explain the origin of the boost in accuracy and estimate the computational cost of the resulting numerical method. We demonstrate the utility of optimal time step (OTS) selection combined with non-iterative defect correction (NIDC) on several different types of finite difference schemes for a wide array of classical linear and semilinear PDEs in one and more space dimensions on both regular and irregular domains.
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