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Routledge Markov Models and Optimization - Chapman & Hall/CRC

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Description

Markov Models and Optimization provides a new approach to evaluating and optimizing continuous-time stochastic systems. This text introduces Piecewise-Deterministic Processes (PDPs) as a versatile class of stochastic system models. A PDP functions as a Markov process that follows deterministic trajectories between random jumps. These jumps occur either spontaneously in a Poisson-like fashion or when the process hits the boundary of its state space. This formulation is designed to cover a wide variety of applied problems within the field of engineering. As part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability, this book serves as a specialized resource for researchers and professionals working with complex stochastic systems and mathematical modeling.

Key Features

This book introduces Piecewise-Deterministic Processes (PDPs) as a general class of stochastic system models.

The text presents a new approach to evaluating and optimizing the performance of continuous-time stochastic systems.

PDP models follow deterministic trajectories between random jumps occurring in a Poisson-like fashion or at state space boundaries.

This Routledge publication covers an enormous variety of applied problems specifically in the engineering field.

Part of the Chapman and Hall/CRC Monographs on Statistics and Applied Probability series for specialized academic study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Publication Date
01 January 1993
Listed Since
05 February 2007

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