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Markov Processes Daniel T. Gillespie (Naval Weapons Center)

Markov Processes By Daniel T. Gillespie (Naval Weapons Center)

Markov Processes by Daniel T. Gillespie (Naval Weapons Center)


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Summary

Markov process theory is basically an extension of ordinary calculus to accommodate functions whose time evolutions are not entirely deterministic. This book develops the single-variable theory of both continuous and jump Markov processes. It is intended for physicists and chemists at the senior and graduate level.

Markov Processes Summary

Markov Processes: An Introduction for Physical Scientists by Daniel T. Gillespie (Naval Weapons Center)

Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic. It is a subject that is becoming increasingly important for many fields of science. This book develops the single-variable theory of both continuous and jump Markov processes in a way that should appeal especially to physicists and chemists at the senior and graduate level.

Table of Contents

Random Variable Theory General Features of a Markov Process Continuous Markov Processes Jump Markov Processes with Continuum States Jump Markov Processes with Discrete States Temporally Homogeneous Birth-Death Markov Processes Appendixes: Some Useful Integral Identities Integral Representations of the Delta Functions An Approximate Solution Procedure for "Open" Moment Evolution Equations Estimating the Width and Area of a Function Peak Can the Accuracy of the Continuous Process Simulation Formula Be Improved? Proof of the Birth-Death Stability Theorem Solution of the Matrix Differential Equation

Additional information

NPB9780122839559
9780122839559
0122839552
Markov Processes: An Introduction for Physical Scientists by Daniel T. Gillespie (Naval Weapons Center)
New
Hardback
Elsevier Science Publishing Co Inc
1991-12-02
592
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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