rare event simulation using (14 résultats)

Etat : As New. Unread book in perfect condition.

Etat : Like New. Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Etat : New.

Hardcover. Etat : new. Hardcover. 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. This book provides a theoretical and implementational guide to rare events for various readers, from postgraduates to engineers, economists, mathematicians, researchers and indeed any person involved or interested in design and simulation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. pp. viii + 268.

Etat : New.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Hardcover. Etat : new. Hardcover. 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. This book provides a theoretical and implementational guide to rare events for various readers, from postgraduates to engineers, economists, mathematicians, researchers and indeed any person involved or interested in design and simulation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. This book provides a theoretical and implementational guide to rare events for various readers, from postgraduates to engineers, economists, mathematicians, researchers and indeed any person involved or interested in design and simulation. Editor(s): Rubino, Gerardo; Tuffin, Bruno. Num Pages: 278 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 165 x 20. Weight in Grams: 534. . 2009. . . . .

Hardcover. Etat : Brand New. 1st edition. 278 pages. 9.25x6.25x1.00 inches. In Stock.

Etat : As New. Unread book in perfect condition.

Etat : New. This book provides a theoretical and implementational guide to rare events for various readers, from postgraduates to engineers, economists, mathematicians, researchers and indeed any person involved or interested in design and simulation. Editor(s): Rubino, Gerardo; Tuffin, Bruno. Num Pages: 278 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 165 x 20. Weight in Grams: 534. . 2009. . . . . Books ship from the US and Ireland.

Hardcover. Etat : new. Hardcover. 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. This book provides a theoretical and implementational guide to rare events for various readers, from postgraduates to engineers, economists, mathematicians, researchers and indeed any person involved or interested in design and simulation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New. pp. viii + 268 Illus. This item is printed on demand.