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A D-N Alternating Algorithm for Exterior Laplace Problem with Mixed Boundary Value Conditions

机译:混合边界值条件的外部拉普拉斯问题的D-N交替算法

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This paper develops a Dirichlet-Neumann (D-N) alternating algorithm to solve the mixed boundary value problem of Laplace equation in an infinite domain, and analyses the convergence of the algorithm. By choosing a circle surrounding the original boundary as an artificial boundary to divide the unbounded domain into two sub-domains, we can make use of the natural boundary reduction (NBR) method in the infinite sub-domain to solve a Dirichlet boundary value problem while use the finite element method in the finite sub-domain to solve a mixed boundary value problem. We prove that the algorithm is convergent geometrically for any relaxation factor between 0 and 1. The numerical experiment results also display that the sequence of iterative solutions is geometrically convergent, the convergence rate is independent of the finite element mesh size h, and the maximum nodal error on Ω_1 is roughly of O(h~2).
机译:本文开发了Dirichlet-Neumann(D-N)交替算法,以解决无限域中LAPLACE方程的混合边值问题,分析算法的收敛。通过选择原始边界周围的圆圈作为人为边界来将无界域分为两个子域,我们可以利用无限的子域中的自然边界减少(NBR)方法来解决Dirichlet边界值问题在有限子域中使用有限元方法来解决混合边值问题。我们证明,该算法在0和1之间的任何弛豫系数之间的算法是几何上的收敛因子。数值实验结果也显示迭代解决方案的顺序是几何整体会聚,收敛速度与有限元网尺寸H无关,最大节点ω_1上的错误大致为O(H〜2)。

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