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Cubic spline interpolation of functions with high gradients in boundary layers

机译:边界层高梯度的立方样条插值

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The cubic spline interpolation of grid functions with high-gradient regions is considered. Uniform meshes are proved to be inefficient for this purpose. In the case of widely applied piecewise uniform Shishkin meshes, asymptotically sharp two-sided error estimates are obtained in the class of functions with an exponential boundary layer. It is proved that the error estimates of traditional spline interpolation are not uniform with respect to a small parameter, and the error can increase indefinitely as the small parameter tends to zero, while the number of nodes N is fixed. A modified cubic interpolation spline is proposed, for which O((ln N/N)(4)) error estimates that are uniform with respect to the small parameter are obtained.
机译:考虑了具有高梯度区域的网格函数的立方样条插值。 为了此目的,证明均匀网格效率低下。 在广泛应用的分段均匀的Shishkin网眼的情况下,在具有指数边界层的功能类中获得渐近尖锐的双面误差估计。 事实证明,传统样条插值的误差估计相对于小参数并不均匀,并且由于小参数趋于为零,误差可能无限期地增加,而节点N的数量是固定的。 提出了一种修改的立方插值样条曲线,获得了对小参数均匀的O((ln n / n)(4))误差估计。

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