Cargando…

Markov processes: an introduction for physical scientists

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Gillespie, Daniel T
Lenguaje:eng
Publicado: Elsevier 1991
Materias:
Acceso en línea:http://cds.cern.ch/record/1619008
_version_ 1780932972262719488
author Gillespie, Daniel T
author_facet Gillespie, Daniel T
author_sort Gillespie, Daniel T
collection CERN
description 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.Key Features* A self-contained, prgamatic exposition of the needed elements of random variable theory* Logically integrated derviations of the Chapman-Kolmogorov e
id cern-1619008
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1991
publisher Elsevier
record_format invenio
spelling cern-16190082021-04-21T21:56:53Zhttp://cds.cern.ch/record/1619008engGillespie, Daniel TMarkov processes: an introduction for physical scientistsMathematical Physics and Mathematics 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.Key Features* A self-contained, prgamatic exposition of the needed elements of random variable theory* Logically integrated derviations of the Chapman-Kolmogorov eElsevieroai:cds.cern.ch:16190081991
spellingShingle Mathematical Physics and Mathematics
Gillespie, Daniel T
Markov processes: an introduction for physical scientists
title Markov processes: an introduction for physical scientists
title_full Markov processes: an introduction for physical scientists
title_fullStr Markov processes: an introduction for physical scientists
title_full_unstemmed Markov processes: an introduction for physical scientists
title_short Markov processes: an introduction for physical scientists
title_sort markov processes: an introduction for physical scientists
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1619008
work_keys_str_mv AT gillespiedanielt markovprocessesanintroductionforphysicalscientists