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Uniform convergence method for model with small parameter and Robin boundary condition

机译:小参数和Robin边界条件的模型统一收敛方法

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摘要

Model with small parameter and Robin boundary condition is considered. This is a multi-scale problem. The presence of small parameter leads to boundary layer phenomena. In order to discrete robin boundary condition and improve the order of uniform convergence, first transition point, which is very small, is introduced firstly. The domain is divided into the inner boundary layer region and the outside boundary layer region according to second transition point secondly. The new method is proved to be stable and high order uniformly convergent with respect to small parameter finally.
机译:考虑具有小参数和Robin边界条件的模型。这是一个多尺度的问题。小参数的存在会导致边界层现象。为了离散罗宾边界条件并提高均匀收敛的阶数,首先介绍了非常小的第一过渡点。其次,根据第二转变点将区域分为内边界层区域和外边界层区域。最终证明该新方法相对于小参数稳定且高阶均匀收敛。

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