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To the best of our knowledge, the CE-MP method [37] which uses the cross-entropy technique to further improve the performance of the merge process method [29] and the RVR technique which exploits series parallel reductions and a minimum cost st-cut strategy [13], where each link l has value ln(ql ), are the most suitable procedures published in the literature to compute network reliability in a rare event context In this section we present some numerical illustrations of these methods For the examples, we consider highly reliable grid topologies G3 and G6 (see Figure 71), where links are assigned equal unreliability q = 10 3 or q = 10 6 as in [37] and K is the set of the four corner nodes For those networks exact values of Q = 1 R are tabulated in column 3 of Table 71 Each exact unreliability Q is used in the computation of the relative error parameter which helps to appreciate the quality of the estimates produced by the two estimators considered Tables 72 and 73 show that both methods lead to small relative errors and the RVR method offers the most accurate estimates In the general case, we do not know the exact values Then, the best estimator in terms of accuracy is the one with smallest variance for a xed sample size N , leading to smallest lengths of con dence intervals Column 6 of Table 73 shows that the RVR method signi cantly reduces the variance with respect to the CE-MP method, and the best gains are btained for highly reliable cases To illustrate the behavior of the RVR method on dense networks, let us now consider the evaluation of complete topologies for which we calculate the exact.

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