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• W2337568523 abstract "Computation of the probability that a random graph is connected is a challenging problem, so it is natural to turn to approximations such as Monte Carlo methods. We describe sequential importance resampling and splitting algorithms for the estimation of these probabilities. The importance sampling steps of these algorithms involve identifying vertices that must be present in order for the random graph to be connected, and conditioning on the corresponding events. We provide numerical results demonstrating the eectiveness of the proposed algorithm." @default.
• W2337568523 created "2016-06-24" @default.
• W2337568523 creator A5082544677 @default.
• W2337568523 creator A5088935199 @default.
• W2337568523 date "2015-06-03" @default.
• W2337568523 modified "2023-09-27" @default.
• W2337568523 title "Estimating Residual Connectivity for Random Graphs" @default.
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• W2337568523 hasPublicationYear "2015" @default.
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