首页> 外文期刊>Theoretical computer science >Formalization of the standard uniform random variable
【24h】

Formalization of the standard uniform random variable

机译:标准统一随机变量的形式化

获取原文
获取原文并翻译 | 示例
       

摘要

Continuous random variables are widely used to mathematically describe random phenomena in engineering and the physical sciences. In this paper, we present a higher-order logic formalization of the Standard Uniform random variable as the limit value of the sequence of its discrete approximations. We then show the correctness of this specification by proving the corresponding probability distribution properties within the HOL theorem prover, summarizing the proof steps. The formalized Standard Uniform random variable can be transformed to formalize other continuous random variables, such as Uniform, Exponential, Normal, etc., by using various non-uniform random number generation techniques. The formalization of these continuous random variables will enable us to perform an error free probabilistic analysis of systems within the framework of a higher-order-logic (HOL) theorem prover. For illustration purposes, we present the formalization of the Continuous Uniform random variable based on the formalized Standard Uniform random variable, and then utilize it to perform a simple probabilistic analysis of roundoff error in HOL. (C) 2007 Elsevier B.V. All rights reserved.
机译:连续随机变量被广泛用于数学上描述工程和物理科学中的随机现象。在本文中,我们提出了标准均匀随机变量的高阶逻辑形式,作为其离散逼近序列的极限。然后,我们通过证明HOL定理证明者内相应的概率分布特性,总结证明步骤,来证明该规范的正确性。通过使用各种非均匀随机数生成技术,可以将形式化的标准均匀随机变量转换为形式化其他连续随机变量,例如均匀,指数,正态等。这些连续随机变量的形式化将使我们能够在高阶逻辑(HOL)定理证明者的框架内对系统进行无错误的概率分析。出于说明目的,我们基于形式化的标准均匀随机变量提出了连续均匀随机变量的形式化,然后利用它来对HOL中的舍入误差进行简单的概率分析。 (C)2007 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号