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An Overview of Semantics for the Validation of Numerical Programs

机译:数字计划验证的语义概述

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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,我们介绍了一个简单的正式语义,用于浮点数,与其他方法相比,具有足够富有的错误的浮点数。接下来,我们为间隔,随机,自动分化和错误序列方法定义正式语义。这使我们能够正式地将每个语义中计算的属性与我们的参考,简单的语义进行比较。已经开发了大多数这些方法来验证数值密集型代码,我们还讨论了它们对软件的正式验证和静态分析的充分性。最后,本研究通过实验结果完成。

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