Blends have decent numerical properties

Robert M Corless
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引用次数: 2

Abstract

A "blend" is a two-point Hermite interpolational polynomial, typically of quite high degree. This note shows that implementing them in a double Horner evaluation scheme has good backward error, and also shows that the Lebesgue constant for a balanced blend or nearly balanced blend on the interval [0,1] is bounded by 2, independently of the grade or degree of the approximation. On [-1,1], which is a more natural interval for comparison, it is of course unbounded, but grows only like 2√(m/π) where 2m+1 is the grade of approximation. I also show that the quadrature schemes for balanced blends amplify errors only by O( ln(m) ).
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共混物具有良好的数值特性
“混合”是两点埃尔米特插值多项式,通常具有相当高的次。这说明在双Horner评价方案中实现它们具有良好的后向误差,并且表明平衡混合或近平衡混合在区间[0,1]上的Lebesgue常数的界为2,与近似的等级或程度无关。在[-1,1]上,这是一个比较自然的区间,它当然是无界的,但只像2√(m/π)那样增长,其中2m+1是近似值。我还表明,平衡共混的正交方案只放大误差O(ln(m))。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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