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Reduced Recursive Inclusion-exclusion Principle for the probability of union events

机译:联合事件概率的简化递归包含-排除原理

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The probability of union events is always important in management science. Many real life applications use such probability in their core implementations. The most popular method to calculate the probability of union events is the Inclusion-Exclusion Principle (IEP), which originates from the idea of Abraham de Moivre (1718). However, the computation complexity is exact O(2), and no matter what the events are, the complexity order can not be decreased. A much efficient method namely Recursive Inclusion-Exclusion Principle (RIEP) was constructed by rearranging its equation to its recursive form. The computation complexity is also O(2) in the worse cases, but it usually has 10 times efficiency than IEP in the normal cases. This paper proposed a novel reduction method for the RIEP to calculate the probability of union events, which can obtain over 100 times efficiency than RIEP in normal cases, and in the worse cases, it has at least the same complexity as that of RIEP. Some benchmarks on network reliability applications show that the proposed approach is very efficient.
机译:工会事件的可能性在管理科学中始终很重要。许多现实生活中的应用程序在其核心实现中都使用了这种可能性。计算工会事件概率的最流行方法是“包容-排除原理”(IEP),该原理源自亚伯拉罕·德·莫夫尔(Abraham de Moivre)(1718)的思想。但是,计算复杂度是精确的O(2),无论事件是什么,都不能降低复杂度顺序。通过将方程重新排列为递归形式,构造了一种非常有效的方法,即“递归包含-排除原理”(RIEP)。在较差的情况下,计算复杂度也为O(2),但在正常情况下,其效率通常是IEP的10倍。本文提出了一种新颖的RIEP归约概率计算方法,该方法在正常情况下的效率是RIEP的100倍以上,在更坏的情况下,其复杂度至少与RIEP相同。有关网络可靠性应用程序的一些基准测试表明,该方法非常有效。

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