自动数值分析多算法的构建

J. Rice
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引用次数: 26

摘要

本文综述了NAPSS多算法开发的经验和观点。多算法主要取决于它们的目标,这些目标将在下一节中提出和讨论。NAPSS多算法的目标相当高,实现这些目标的四个主要困难(到目前为止遇到的)将在第三节中讨论。这四个困难分别是常识、错误控制、灵活性与简单性、可靠性与效率。本文给出了NAPSS中用于克服这些困难的一些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the construction of polyalgorithms for automatic numerical analysis
This paper presents a summary of the experiences and viewpoints in the development of polyalgorithms for NAPSS. The polyalgorithms depend essentially on their objectives which are presented and discussed in the next section. The objectives of the NAPSS polyalgorithms are quite high and the four primary difficulties (met so far) in achieving them are discussed in the third section. These four difficulties are common sense, error control, flexibility versus simplicity, and reliability versus efficiency. Some of the approaches used in NAPSS to overcome these difficulties are given.
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