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A variable time-step-size code for advection-diffusion-reaction PDEs

机译:对流扩散反应PDE的可变时间步长代码

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The numerical integration of time-dependent PDEs of Advection-Diffusion-Reaction type, for two and three spatial variables (in short, 2D and 3D problems) in the MoL framework is considered. The spatial discretization is made by using Finite Differences and the time integration is carried out by means of the L-stable, third-order formula known as the two stage Radau HA method. The main point for the solution of the large-dimensional ODEs is not to solve for the stage values of the Radau method until convergence (because the convergence is very slow on the stiff components), but only giving a very few iterations and take as advancing solution the latter stage value computed. The iterations are carried out by using the Approximate Matrix Factorization (AMF) coupled to a Newton-type iteration (SN1) as indicated in Perez-Rodriguez et al. (2009) [10], which turns out in an acceptably cheap iteration. Some stability results for the whole process (AMF)-(SNI) and a local error estimate for an adaptive time-integration are also given. Numerical results on four standard PDEs are presented and some conclusions about our method and other well-known solvers are drawn.
机译:考虑了MoL框架中两个和三个空间变量(简称2D和3D问题)对流扩散反应型随时间变化的PDE的数值积分。通过使用有限差分进行空间离散,并通过L稳定的三阶公式(称为两阶段Radau HA方法)进行时间积分。解决大尺寸ODE的要点是直到收敛之前才解决Radau方法的阶段值(因为在刚性部件上收敛非常慢),而仅给出很少的迭代并取而代之解决后阶段计算的值。如Perez-Rodriguez等人所述,通过使用耦合到牛顿型迭代(SN1)的近似矩阵分解(AMF)进行迭代。 (2009)[10],结果是可以接受的廉价迭代。还给出了整个过程(AMF)-(SNI)的一些稳定性结果,以及针对自适应时间积分的局部误差估计。给出了四个标准PDE的数值结果,并对我们的方法和其他著名的求解器得出了一些结论。

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