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Rare Event Sampling Methods

  • Ecole Normale Supérieure de Lyon
  • University of Reading

Résultats de recherche: Contribution à un journalArticle de révisionRevue par des pairs

Résumé

With continuously increasing available computer power, complex numerical models have become indispensable tools in various branches of science. However, if we consider very rare events, even the most powerful computer may only be able to generate a few realizations. Nevertheless, such events can have a very strong impact and are, therefore, of great interest. The challenges and opportunities arising in the interdisciplinary eort to eciently sample rare events are the central topic of this Focus Issue. The contributed articles consider, for example, the development of new algorithms for sampling rare events, their utility in applications, and the analysis of their eciency.

langue originaleAnglais
Numéro d'article080402
journalChaos
Volume29
Numéro de publication8
Les DOIs
étatPublié - 1 août 2019
Modification externeOui

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