Benoite de Saporta François Dufour Huilong Zhang de Saporta Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes

Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes

von Benoite de Saporta François Dufour Huilong Zhang

Application to Reliability

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Beschreibung

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.

Autor*in

Benoite de Saporta

Themen in »Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes«

Mathematics Mathematik Numerical Methods Numerische Methoden

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Details

ISBN: 9781119145141
Verlag: John Wiley & Sons
Erscheinung: 14.12.2015

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