Understanding Computation

T. Stuart, Nathan Jepson, Christopher Hearse, Rachel Leach, Lucie Haskins, Randy Comer, D. Futato
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引用次数: 4

Abstract

Interpretation Abstract interpretation gives us a way of approaching a problem that’s somehow too difficult to handle, perhaps because it’s too large, too complex, or has too many unknowns to be tackled directly. The main idea of abstract interpretation is to use an abstraction, a model of the real problem that discards enough detail to make it manageable—perhaps by making it smaller, simpler, or by eliminating unknowns—but that also retains enough detail to make its solution relevant to the original problem.interpretation gives us a way of approaching a problem that’s somehow too difficult to handle, perhaps because it’s too large, too complex, or has too many unknowns to be tackled directly. The main idea of abstract interpretation is to use an abstraction, a model of the real problem that discards enough detail to make it manageable—perhaps by making it smaller, simpler, or by eliminating unknowns—but that also retains enough detail to make its solution relevant to the original problem. To make this vague idea more concrete, let’s look at a simple application of abstract interpretation.
了解计算
抽象解释为我们提供了一种处理问题的方法,这种方法可能是因为问题太大、太复杂,或者有太多的未知因素无法直接解决。抽象解释的主要思想是用一个抽象,一个模型的真正问题丢弃足够的细节以使它manageable-perhaps更小、更简单,或者通过消除unknowns-but也保留了足够的细节,使其解决方案相关的原始problem.interpretation给了我们一种接近一个不知为何难以处理的问题,也许是因为它太大,太复杂,或有太多未知数直接解决。抽象解释的主要思想是使用一个抽象,一个真实问题的模型,它抛弃了足够的细节,使其易于管理——也许是通过使其更小、更简单,或者通过消除未知因素——但也保留了足够的细节,使其解决方案与原始问题相关。为了使这个模糊的概念更加具体,让我们来看一个抽象解释的简单应用。
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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