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

机译:差分微积分扩展矩阵方法及其在可靠性工程中的应用

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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.
机译:本文提出了一种使用4乘4个矩阵执行二阶偏微分基石的新方法,并演示了可靠性工程领域的重要应用。用于普通或一阶差分微积分的现有矩阵方法可防止通过差分微积分获得的后表达式计算时间的指数增加,并实现了线性时间增加。强调,这种方法是解决不仅在可靠性工程领域的计算问题的突破,也是所有科学和工程领域,因为差分微积分对于几乎所有这些都是必不可少的。然而,现有方法只能应用于普通或一阶部分差分微积分。高阶部分差分衍生物超出其范围。本文首先将矩阵方法延伸到二阶部分差分计算,作为朝向高阶微积分的重要步骤。该方法用于计算系统的联合可靠性重要性,这是可靠性工程的关键指标。我们强调,如果系统具有大量组件,则我们的矩阵方法特别有用,如通信系统的情况。

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