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Combination of conditional Monte Carlo and approximate zero-variance importance sampling for network reliability estimation

Héctor Cancela 1 Pierre L'Ecuyer 2 Gerardo Rubino 3 Bruno Tuffin 3 
1 Departamento de Investigación Operativa [Montevideo]
2 DIRO - Département d'Informatique et de Recherche Opérationnelle [Montreal]
3 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
Résumé : No abstract
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Conference papers
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https://hal.inria.fr/hal-00793297
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Submitted on : Friday, February 22, 2013 - 8:32:45 AM
Last modification on : Friday, January 21, 2022 - 3:19:59 AM

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  • HAL Id : hal-00793297, version 1

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INSTITUT-TELECOM | EC-PARIS | UNIV-RENNES1 | CNRS | INRIA | INSA-RENNES | IRISA | IRISA-D2 | INRIA2 | UR1-MATH-STIC | UR1-UFR-ISTIC | UNIV-RENNES | UR1-MATH-NUM

Citation

Héctor Cancela, Pierre L'Ecuyer, Gerardo Rubino, Bruno Tuffin. Combination of conditional Monte Carlo and approximate zero-variance importance sampling for network reliability estimation. Proceedings of the 2010 Winter Simulation Conference, 2010, Unknown, United States. ⟨hal-00793297⟩

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