Balanced and Approximate Zero-Variance Recursive Estimators for the Network Reliability Problem

Abstract

Exact evaluation of static network reliability parameters belongs to the NP-hard family, and Monte Carlo simulation is therefore a relevant tool to provide their estimations. The first goal of this work is to review a Recursive Variance Reduction (RVR) estimator, which approaches the unreliability by recursively reducing the graph from the random choice of… (More)
DOI: 10.1145/2674914

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