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首页> 外文期刊>SIAM Journal on Numerical Analysis >PIECEWISE LINEAR PETROV-GALERKIN ERROR ESTIMATES FOR THE BOX METHOD
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PIECEWISE LINEAR PETROV-GALERKIN ERROR ESTIMATES FOR THE BOX METHOD

机译:Box方法的分段线性Petrov-Galerkin误差估计

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The perpendicular bisector box-method (PBM) discretization of the Laplacian on a simplicial element is equivalent to a piecewise linear Petrov-Galerkin method with piecewise constant test functions. This PBM element matrix is expressed in terms of Galerkin's piecewise linear (PLG) element matrix and the average values assumed by test functions over element faces only. These results are shown to be applicable to the accuracy analysis of PBM discretizations of extremum stable elliptic gradient equations, subject to regularity conditions on variable coefficients in these equations. These gradient equations are shown to satisfy sufficient conditions to validate a discrete extremum principle on N-dimensional Delaunay triangulations. This conclusion need not hold for the PLG equations. The dependence of the discretized Laplacian on only the element-face averages of test functions enables the substitution of piecewise polynomial test functions for the piecewise constant functions. The latter are used to establish piecewise linear accuracy for the PBM by an adaptation of an error estimate for Petrov-Galerkin methods by Strang. [References: 25]
机译:拉普拉斯算子在简单单元上的垂直平分线盒法(PBM)离散化等效于具有分段常数检验功能的分段线性Petrov-Galerkin方法。该PBM元素矩阵仅用Galerkin的分段线性(PLG)元素矩阵表示,并且仅由测试函数在元素面上得出的平均值表示。这些结果表明可适用于极值稳定椭圆梯度方程的PBM离散化的精度分析,但要遵循这些方程中可变系数的正则性条件。这些梯度方程表明满足充分条件,可以验证N维Delaunay三角剖分上的离散极值原理。该结论不必适用于PLG方程。离散的拉普拉斯算子仅依赖于测试函数的元素面平均值,因此可以将分段多项式测试函数替换为分段常数函数。后者用于通过调整Strang对Petrov-Galerkin方法的误差估计来建立PBM的分段线性精度。 [参考:25]

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