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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...
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Lenguaje: | eng |
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Elsevier
1991
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Acceso en línea: | http://cds.cern.ch/record/1619008 |
_version_ | 1780932972262719488 |
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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 |