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Secure Connected Objects

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Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set Volume 1

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Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set Volume 1

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Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

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Enterprise Interoperability


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Data Treatment in Environmental Sciences

Multivaried Approach

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics Energy, Environment, Economy Set

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Exterior Algebras

Elementary Tribute to Grassmann's Ideas

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Nonlinear Theory of Elastic Plates

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Cognitive Approach to Natural Language Processing

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Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes

Application to Reliability

Benoîte de Saporta, University of Montpellier 2, France François Dufour, University of Bordeaux, France Huilong Zhang, INRIA, Bordeaux, France

ISBN: 9781848218390

Publication Date: December 2015   Hardback   298 pp.

110.00 USD

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Mark H.A. Davis introduced the Piecewise-Deterministic Markov Process (PDMP) class of stochastic hybrid models in an article in 1984. Today it is used to model a variety of complex systems in the fields of engineering, economics, management sciences, biology, Internet traffic, networks and many more. Yet, despite this, there is very little in the way of literature devoted to the development of numerical methods for PDMDs to solve problems of practical importance, or the computational control of PDMPs.
This book therefore presents a collection of mathematical tools that have been recently developed to tackle such problems. It begins by doing so through examples in several application domains such as reliability. The second part is devoted to the study and simulation of expectations of functionals of PDMPs. Finally, the third part introduces the development of numerical techniques for optimal control problems such as stopping and impulse control problems.


1. Piecewise Deterministic Markov Processes.
2. Examples in Reliability.
3.Quantization Technique.
4. Expectation of Functionals.
5. Exit Time.
6. Example in Reliability: Service Time.
7. Optimal Stopping.
8. Partially Observed Optimal Stopping Problem.
9. Example in Reliability: Maintenance Optimization.
10. Optimal Impulse Control.

About the Authors

Benoîte de Saporta is Professor in Applied Probabilities at the University of Montpellier 2 in France.
François Dufour is Professor at the University of Bordeaux in France.
Huilong Zhang is a lecturer at INRIA in Bordeaux, France.


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