Normalized floating-point arithmetic with an index of significance

Herbert L. Gray, Charles Harrison
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引用次数: 9

Abstract

It has been frequently pointed out that the task of determining an error-bound for the results of a problem is usually a long difficult calculation, which is avoided as much as possible by the programmer. The introduction of floating-point arithmetic in modern computers and the ever-growing use of compilers makes the task of error analysis even more difficult and its computation even less probable. Clearly, a machine method is needed to automatically calculate a bound for the propagated and generated error, given the initial error in the input and the residual error due to approximating functions.
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具有显著性指数的规范化浮点运算
人们经常指出,为一个问题的结果确定错误边界的任务通常是一个漫长而困难的计算,这是程序员尽可能避免的。在现代计算机中引入浮点运算以及越来越多地使用编译器使得错误分析的任务更加困难,计算错误的可能性也更小。显然,给定输入中的初始误差和由于逼近函数引起的残差,需要一种机器方法来自动计算传播和生成的误差的界。
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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