Skip to Main content Skip to Navigation
Conference papers

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
Document type :
Conference papers
Complete list of metadata
https://hal.inria.fr/hal-00793297
Contributor : Anne Jaigu <>
Submitted on : Friday, February 22, 2013 - 8:32:45 AM
Last modification on : Tuesday, June 15, 2021 - 4:14:22 PM

Identifiers

  • HAL Id : hal-00793297, version 1

Collections

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

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

468

 

Contact                    Legal Notice                    Personal Data