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Local Discontinuous Galerkin Methods Coupled with Implicit Integration Factor Methods for Solving Reaction-Cross-Diffusion Systems

机译:局部不连续的Galerkin方法与用于求解反应交叉扩散系统的隐式集成因子方法

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摘要

We present a new numerical method for solving nonlinear reaction-diffusion systems with cross-diffusion which are often taken as mathematical models for many applications in the biological, physical, and chemical sciences. The two-dimensional system is discretized by the local discontinuous Galerkin (LDG) method on unstructured triangular meshes associated with the piecewise linear finite element spaces, which can derive not only numerical solutions but also approximations for fluxes at the same time comparing with most of study work up to now which has derived numerical solutions only. Considering the stability requirement for the explicit scheme with strict time step restriction (Δt = O(?_(min)~2)), the implicit integration factor (IIF) method is employed for the temporal discretization so that the time step can be relaxed as Δt = O(?_(min)). Moreover, the method allows us to compute element by element and avoids solving a global system of nonlinear algebraic equations as the standard implicit schemes do, which can reduce the computational cost greatly. Numerical simulations about the system with exact solution and the Brusselator model, which is a theoreticalmodel for a type of autocatalytic chemical reaction, are conducted to confirmthe expected accuracy, efficiency, and advantages of the proposed schemes.
机译:我们提出了一种新的数值方法,用于求解具有交叉扩散的非线性反应扩散系统,这些方法通常被视为生物,物理和化学科学中许多应用的数学模型。通过与分段线性有限元空间相关联的非结构化三角网格上的本地不连续的Galerkin(LDG)方法离散化二维系统,其不仅可以导出数值溶液,而且与大多数研究相比,相同的相同时间也可以达到助熔剂的近似达到现在的工作,只有来自数值解决方案。考虑到具有严格的时间步骤限制的显式方案的稳定性要求(ΔT= O(?_(_(min)〜2)),采用隐式积分因子(IIF)方法用于时间离散化,以便可以放松时间步骤Δt= o(?_(min))。此外,该方法允许我们通过元素计算元件,并避免求解作为标准隐式方案的全局非线性代数方程系统,这可以极大地降低计算成本。关于具有精确解决方案和挤出机模型的系统的数值模拟,这是一种用于一种自催化化学反应的理论模型,以确认所提出的方案的预期精度,效率和优点。

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