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An Overview of Semantics for the Validation of Numerical Programs

机译:验证数字程序的语义学概述

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摘要

In this article, we introduce a simple formal semantics for floating-point numbers with errors which is expressive enough to be formally compared to the other methods. Next, we define formal semantics for interval, stochastic, automatic differentiation and error series methods. This enables us to formally compare the properties calculated in each semantics to our reference, simple semantics. Most of these methods having been developed to verify numerical intensive codes, we also discuss their adequacy to the formal validation of softwares and to static analysis. Finally, this study is completed by experimental results.
机译:在本文中,我们为带有错误的浮点数引入了一种简单的形式语义,该语义具有足够的表达力,可以与其他方法进行形式比较。接下来,我们为区间,随机,自动微分和错误序列方法定义形式语义。这使我们能够将每种语义中计算出的属性与我们的参考简单语义进行正式比较。这些方法中的大多数已被开发来验证数字密集型代码,我们还讨论了它们对软件形式验证和静态分析的适用性。最后,本研究通过实验结果完成。

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