Daniel T. Gillespie,
Daniel T. (Naval Weapons Center) Gillespie
Markov Processes
An Introduction for Physical Scientists
Gebonden Engels 1991 9780122839559Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
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Inhoudsopgave
<p>Random Variable Theory<br>General Features of a Markov Process<br>Continuous Markov Processes<br>Jump Markov Processes with Continuum States<br>Jump Markov Processes with Discrete States<br>Temporally Homogeneous Birth-Death Markov Processes<br>Appendixes: Some Useful Integral Identities<br>Integral Representations of the Delta Functions<br>An Approximate Solution Procedure for "Open" Moment Evolution Equations<br>Estimating the Width and Area of a Function Peak<br>Can the Accuracy of the Continuous Process Simulation Formula Be Improved?<br>Proof of the Birth-Death Stability Theorem<br>Solution of the Matrix Differential Equation</p>
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