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首页> 外文期刊>SIAM Journal on Scientific Computing >A fast Poisson solver of arbitrary order accuracy in rectangular regions
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A fast Poisson solver of arbitrary order accuracy in rectangular regions

机译:矩形区域中任意阶精度的快速泊松求解器

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摘要

In this paper we propose a direct method for the solution of the Poisson equation in rectangular regions. It has an arbitrary order accuracy and low CPU requirements which makes it practical for treating large-scale problems. The method is based on a pseudospectral Fourier approximation and a polynomial subtraction technique. Fast convergence of the Fourier series is achieved by removing the discontinuities at the corner points using polynomial subtraction functions. These functions have the same discontinuities at the corner points as the sought solution. In addition to this, they satisfy the Laplace equation so that the subtraction procedure does not generate nonperiodic, nonhomogeneous terms. The solution of a boundary value problem is obtained in a series form in O(N log N) floating point operations, where N-2 is the number of grid nodes. Evaluating the solution at all N-2 interior points requires O(N-2 log N) operations. [References: 17]
机译:在本文中,我们提出了一种直接方法来求解矩形区域中的泊松方程。它具有任意的顺序精度和较低的CPU要求,这使得它对于处理大规模问题非常实用。该方法基于伪谱傅立叶逼近和多项式减法技术。傅立叶级数的快速收敛是通过使用多项式减法函数消除角点处的不连续性来实现的。这些功能在拐角处的不连续性与所寻求的解决方案相同。除此之外,它们还满足拉普拉斯方程,因此减法过程不会生成非周期,非齐次项。在O(N log N)浮点运算中以序列形式获得边值问题的解,其中N-2是网格节点的数量。在所有N-2个内部点评估解决方案需要O(N-2 log N)个操作。 [参考:17]

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