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General spline filters for discontinuous Galerkin solutions

机译:通用样条滤波器,用于不连续的Galerkin解决方案

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The discontinuous Galerkin (dG) method outputs a sequence of polynomial pieces. Post-processing the sequence by Smoothness-Increasing Accuracy-Conserving (SIAC) convolution not only increases the smoothness of the sequence but can also improve its accuracy and yield superconvergence. SIAC convolution is considered optimal if the SIAC kernels, in the form of a linear combination of B-splines of degree d, reproduce polynomials of degree 2d. This paper derives simple formulas for computing the optimal SIAC spline coefficients for the general case including non-uniform knots. Crown Copyright (C) 2015 Published by Elsevier Ltd. All rights reserved.
机译:不连续Galerkin(dG)方法输出一系列多项式。通过增加平滑度的精度保存(SIAC)卷积对序列进行后处理,不仅可以提高序列的平滑度,还可以提高序列的准确性并产生超收敛性。如果SIAC内核以d级B样条的线性组合形式重现2d多项式,则认为SIAC卷积是最佳的。本文推导了用于计算包括非均匀结在内的一般情况下最佳SIAC样条系数的简单公式。 Crown版权所有(C)2015,由Elsevier Ltd.发行。保留所有权利。

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