Extended Matrix Approach for Differential Calculus and Its Application to Reliability Engineering

Mizuki Soeda, M. Hayashi
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引用次数: 1

Abstract

This paper proposes a new way of executing second order partial differential calculus using 4 by 4 matrices and demonstrates an important application to the reliability engineering field. The existing matrix approach for ordinary or first-order differential calculus prevents an exponential increase in computation time of the post-expression obtained by differential calculus and realizes a linear time increase instead. It was emphasized that this approach is a breakthrough for solving computation problems not only in reliability engineering fields, but also all science and engineering fields, because differential calculus is essential to and commonly used for almost all of them. However, the existing approach can only be applied to ordinary or first-order partial differential calculus. Higher order partial differential derivatives are out of its scope. This paper first extends the matrix approach to second-order partial differential calculus as an important step towards higher order calculus. The proposed method is used to compute the Joint Reliability Importance of System, which is a key index in reliability engineering. We emphasize that our matrix approach is especially useful if a system has a large number of components as in the case of communications systems.
微分学的扩展矩阵方法及其在可靠性工程中的应用
提出了一种利用4 × 4矩阵进行二阶偏微分计算的新方法,在可靠性工程领域具有重要的应用价值。现有的常阶或一阶微分的矩阵法避免了微分后表达式的计算时间呈指数增长,而实现了线性增长。该方法不仅在可靠性工程领域,而且在所有科学和工程领域都是解决计算问题的突破,因为微分学是几乎所有科学和工程领域的基础和常用方法。然而,现有的方法只能应用于常阶或一阶偏微分。高阶偏微分超出了它的范围。本文首先将矩阵方法推广到二阶偏微分学中,作为迈向高阶微积分的重要一步。该方法用于计算系统的联合可靠性重要性,这是可靠性工程中的一个关键指标。我们强调,如果一个系统有大量的组件,如通信系统,我们的矩阵方法特别有用。
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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