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Sixth-Order Adaptive Non-uniform Grids for Singularly Perturbed Boundary Value Problems

机译:奇摄动边值问题的六阶自适应非均匀网格

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In this paper, a sixth order adaptive non-uniform grid has been developed for solving a singularly perturbed boundary-value problem (SPBVP) with boundary layers. For this SPBVP with a small parameter in the leading derivative, an adaptive finite difference method based on the equidistribution principle, is adopted to establish 6th order of convergence. To achieve this supra-convergence, we study the truncation error of the discretized system and obtain an optimal adaptive non-uniform grid. Considering a second order three-point central finite-difference scheme, we develop sixth order approximations by a suitable choice of the underlying optimal adaptive grid. Further, we apply this optimal adaptive grid to nonlinear SPBVPs, by using an extra approximations of the nonlinear term and we obtain almost 6th order of convergence. Unlike other adaptive non-uniform grids, our strategy uses no pre-knowledge of the location and width of the layers. We also show that other choices of the grid distributions lead to a substantial degradation of the accuracy. Numerical results illustrate the effectiveness of the proposed higher order adaptive numerical strategy for both linear and nonlinear SPBVPs.
机译:为了解决带有边界层的奇异摄动边值问题(SPBVP),本文开发了一种六阶自适应非均匀网格。对于前导导中参数较小的SPBVP,采用基于均分布原理的自适应有限差分法建立6阶收敛性。为了实现这种超收敛性,我们研究了离散系统的截断误差,并获得了最优的自适应非均匀网格。考虑到二阶三点中心有限差分方案,我们通过适当选择底层的最佳自适应网格来开发六阶近似。此外,通过使用非线性项的额外逼近,我们将此最优自适应网格应用于非线性SPBVP,并且获得了近似6阶的收敛性。与其他自适应非均匀网格不同,我们的策略不使用层的位置和宽度的预先知识。我们还表明,网格分布的其他选择会导致准确性大大降低。数值结果说明了针对线性和非线性SPBVP提出的高阶自适应数值策略的有效性。

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