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A robust domain decomposition algorithm for singularly perturbed semilinear systems

机译:奇摄动半线性系统的鲁棒域分解算法

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We consider a system of singularly perturbed semilinear reaction-diffusion equations. To solve this system numerically we develop an overlapping Schwarz domain decomposition algorithm, where we use the asymptotic behaviour of the exact solution for domain partitioning as well as to construct the iterative algorithm. The algorithm is analysed by defining some auxiliary problems, that allows to prove the uniform convergence of the method in two steps, splitting the discretization error and the iteration error. It is shown that the algorithm gives almost fourth uniform numerical approximations for the exact solution. More importantly, it is shown that for small values of the perturbation parameter just one iteration is required to achieve the almost fourth-order accuracy. Numerical results support our theoretical findings.
机译:我们考虑一个奇摄动半线性反应扩散方程组。为了从数值上解决该系统,我们开发了一种重叠的Schwarz域分解算法,在该算法中,我们使用精确解的渐近行为进行域划分并构造了迭代算法。通过定义一些辅助问题来分析该算法,该问题可以证明该方法的均匀收敛性,分两步进行,即离散化误差和迭代误差。结果表明,该算法给出了精确解的几乎第四均匀数值逼近。更重要的是,它表明,对于较小的摄动参数值,只需进行一次迭代即可获得几乎四阶的精度。数值结果支持了我们的理论发现。

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