Some experiments using interval arithmetic

Eric K. Reuter, John P. Jeter, J. W. Anderson, B. Shriver
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引用次数: 9

Abstract

This paper reviews past experiences and discusses future work in the area of interval arithmetic at the University of Southwestern Louisiana(USL). Two versions of interval arithmetic were developed and implemented at USL(∗). An interval data type declaration and the necessary mathematical functions for this data type were added to Fortran via the preprocessor Augment(4, 5). In the first version, the endpoints of the intervals were represented as single percision floating point numbers. In the other version, the endpoints were represented to 56 decimal digits. Production engineering programs were run as benchmarks(8). The accumulation ot computational and algorithmic error could be observed as a widening of the intervals. The benchmarks were also run in normal single and double precision arithmetic. In some instances, the result obtained from a single or double precision calculation was not bounded by the corresponding interval result indicating some problem with the algorithm. The widening of an interval does not necessarily indicate a data sensitivity nor error in an algorithm. However, these large intervals can be used as indicator of no problems. As could be expected, the 56-decimal digit precision interval gave better results in terms of smaller intervals due to the increased amount of precision. The obvious problem with this version is that the amount of overhead required for its execution is high.
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区间算法的一些实验
本文回顾了美国西南路易斯安那大学(USL)在区间算法方面的经验,并讨论了未来的工作。在USL(∗)上开发并实现了两个版本的区间算法。区间数据类型声明和该数据类型的必要数学函数通过预处理器Augment(4,5)添加到Fortran中。在第一个版本中,区间的端点表示为单精度浮点数。在另一个版本中,端点用56位十进制数字表示。生产工程程序作为基准运行(8)。计算误差和算法误差的累积可以观察到区间的扩大。基准测试也在正常的单精度和双精度算法下运行。在某些情况下,单精度或双精度计算得到的结果不受相应的区间结果的限制,这表明算法存在一些问题。区间的扩大不一定表示算法中的数据敏感性或错误。然而,这些大的间隔可以作为没有问题的指示。正如预期的那样,由于精度的提高,56位小数的精度间隔在较小的间隔方面给出了更好的结果。这个版本的明显问题是执行所需的开销很大。
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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