Perturbation analysis of Horner's method for nice cases

C. Dunham
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引用次数: 2

Abstract

Under favourable conditions, evaluation of polynomials by Homer's rule has an error not exceeding a few units in the last place.It has been observed that for moderate sized x and coefficients decreasing rapidly in magnitude that floating point evaluation of polynomials by Homer's method gives results accurate to around one or two units in the last place. A hand calculated example together with an informal justification is given by Fike (1968, pp. 52--53). In this note the observation is justified by a Wilkinson-type backward error analysis. It would be helpful for the reader to be familiar with the approach of Wilkinson (1963, Chap. 1), in which fl (expr) denotes the effect of evaluation of expression expr in floating point.We will assume that floating point is done using guard digits (Johnston, 1982, p. 11: Sterbenz, 1974) in which case we have by analysis similar to those of Wilkinson (1963, Chap. 1).
理想情况下Horner方法的微扰分析
在有利的条件下,用荷马法则计算多项式的误差在最后一个地方不会超过几个单位。已经观察到,对于中等大小的x和大小迅速下降的系数,用荷马的方法对多项式进行浮点计算,结果精确到最后一个或两个单位左右。Fike(1968,第52—53页)给出了一个手工计算的例子和非正式的论证。在这篇笔记中,观察结果是通过威尔金森式的反向误差分析来证明的。熟悉Wilkinson(1963,第1章)的方法会对读者有所帮助,其中fl (expr)表示浮点表达式expr求值的效果。我们将假设浮点数是使用保护数字完成的(Johnston, 1982, p. 11; Sterbenz, 1974),在这种情况下,我们通过分析与Wilkinson(1963,第1章)相似。
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