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Accurate evaluation of Chebyshev polynomials in floating-point arithmetic

机译:Chebyshev多项式在浮点算法中的准确评估

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摘要

It is well-known that the Chebyshev polynomials Tn and Un-1 can be recursively expressed as linear combinations of Tn-1 and Un-2. We study floating-point implementations of these recurrences for arguments in the interval [-1,1]. We demonstrate that the maximum error of the resulting approximation to Tn is O(un), where u is the unit roundoff. In contrast, a commonly used three-term recurrence for Tn has the maximum error within a constant factor from un(2).
机译:众所周知,切比雪夫多项式Tn和Un-1可以递归表示为Tn-1和Un-2的线性组合。我们研究区间[-1,1]中参数的这些递归的浮点实现。我们证明了所得近似值Tn的最大误差为O(un),其中u为单位舍入。相比之下,Tn的常用三项递归在un(2)的恒定因子内具有最大误差。

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