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arXiv 1101.2628math.NAcs.NA
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多线性样条插值均匀误差的精确渐近性

Exact asymptotics of the uniform error of interpolation by multilinear splines

Sam Houston State University(萨姆休斯顿州立大学)

Yuliya Babenko

AI总结:

本文研究了用多线性样条自适应逼近C2函数时,插值和拟插值多线性样条在加权均匀逼近下的最优误差的渐近行为。

摘要:

多年来,多位作者研究了用于样条逼近的自适应网格生成问题。这些结果在计算几何和离散几何、计算机辅助几何设计、偏微分方程数值解的有限元方法、图像处理以及计算机图形学的网格生成等领域有众多应用。本文研究用多线性样条对具有任意但固定符号的C2函数进行自适应逼近的问题。特别地,我们将研究插值和拟插值多线性样条在加权均匀逼近下的最优误差的渐近行为。

英文摘要:

The question of adaptive mesh generation for approximation by splines has been studied for a number of years by various authors. The results have numerous applications in computational and discrete geometry, computer aided geometric design, finite element methods for numerical solutions of partial differential equations, image processing, and mesh generation for computer graphics, among others. In this paper we will investigate the questions regarding adaptive approximation of C2 functions with arbitrary but fixed throughout the domain signature by multilinear splines. In particular, we will study the asymptotic behavior of the optimal error of the weighted uniform approximation by interpolating and quasi-interpolating multilinear splines.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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