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Error analysis for quadratic spline quasi-interpolants on non-uniform criss-cross triangulations of bounded rectangular domains

机译:非均匀条件下二次样条拟插值的误差分析   有界矩形域的十字交叉三角剖分

摘要

Given a non-uniform criss-cross partition of a rectangular domain $\Omega$,we analyse the error between a function $f$ defined on $\Omega$ and two typesof $C^1$-quadratic spline quasi-interpolants (QIs) obtained as linearcombinations of B-splines with discrete functionals as coefficients. The mainnovelties are the facts that supports of B-splines are contained in $\Omega$and that data sites also lie inside or on the boundary of $\Omega$. Moreover,the infinity norms of these QIs are small and do not depend on thetriangulation: as the two QIs are exact on quadratic polynomials, they give theoptimal approximation order for smooth functions. Our analysis is done for $f$and its partial derivatives of the first and second orders and a particulareffort has been made in order to give the best possible error bounds in termsof the smoothness of $f$ and of the mesh ratios of the triangulation.
机译:给定矩形域$ \ Omega $的不均匀纵横交错分区,我们分析了在$ \ Omega $上定义的函数$ f $与两种类型的$ C ^ 1 $二次样条拟内插值(QIs)之间的误差)作为B样条的线性组合而获得,其中离散函数作为系数。主要的创新是B样条的支持包含在$ \ Omega $中,并且数据站点也位于$ \ Omega $的内部或边界。而且,这些QI的无穷范数很小,并且不依赖于三角剖分:由于两个QI在二次多项式上都是精确的,因此它们给出了平滑函数的最佳逼近阶。我们针对$ f $及其一阶和二阶偏导数进行了分析,并做出了特别的努力,以便根据$ f $的平滑度和三角剖分的网格比率给出最佳的误差范围。

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