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Rare Event Simulation using Monte Carlo Methods PDF

271 Pages·2009·1.672 MB·English
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by Gerardo Rubino, Bruno Tuffin| 2009| 271 pages| 1.672| English

About Rare Event Simulation using Monte Carlo Methods

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.

Detailed Information

Author:Gerardo Rubino, Bruno Tuffin
Publication Year:2009
ISBN:9780470772690
Pages:271
Language:English
File Size:1.672
Format:PDF
Price:FREE
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.