Rare Event Simulation using Monte Carlo Methods

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Éditeur :

Wiley


Paru le : 2009-03-18

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Description
Rare Event Simulation
In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication network of a group of banks, leading to financial losses. Being able to evaluate the probability of rare events is therefore a critical issue.
Monte Carlo Methods, the simulation of corresponding models, are used to analyze rare events. This book sets out to present the mathematical tools available for the efficient simulation of rare events. Importance sampling and splitting are presented along with an exposition of how to apply these tools to a variety of fields ranging from performance and dependability evaluation of complex systems, typically in computer science or in telecommunications, to chemical reaction analysis in biology or particle transport in physics.
Graduate students, researchers and practitioners who wish to learn and apply rare event simulation techniques will find this book beneficial.
Pages
288 pages
Collection
n.c
Parution
2009-03-18
Marque
Wiley
EAN papier
9780470772690
EAN PDF
9780470745410

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
288
Taille du fichier
1352 Ko
Prix
126,55 €

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