Markov processes: an introduction for physical scientists
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston
Academic Press
c1992
|
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | Includes bibliographical references (p. xxi) and index 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 equation, the Kramers-Moyal equations, the Fokker-Planck equations, the Langevin equation, the master equations, and the moment equations * Detailed exposition of Monte Carlo simulation methods, with plots of many numerical examples * Clear treatments of first passages, first exits, and stable state fluctuations and transitions * Carefully drawn applications to Brownian motion, molecular diffusion, and chemical kinetics |
| Beschreibung: | 1 Online-Ressource (xxi, 565 p.) |
| ISBN: | 0080918379 0122839552 9780080918372 9780122839559 |
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| 500 | |a Includes bibliographical references (p. xxi) and index | ||
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Datensatz im Suchindex
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| dewey-full | 519.2/33 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/33 |
| dewey-search | 519.2/33 |
| dewey-sort | 3519.2 233 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
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| isbn | 0080918379 0122839552 9780080918372 9780122839559 |
| language | English |
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| spelling | Gillespie, Daniel T. Verfasser aut Markov processes an introduction for physical scientists Daniel T. Gillespie Boston Academic Press c1992 1 Online-Ressource (xxi, 565 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (p. xxi) and index 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 equation, the Kramers-Moyal equations, the Fokker-Planck equations, the Langevin equation, the master equations, and the moment equations * Detailed exposition of Monte Carlo simulation methods, with plots of many numerical examples * Clear treatments of first passages, first exits, and stable state fluctuations and transitions * Carefully drawn applications to Brownian motion, molecular diffusion, and chemical kinetics Markov, Processus de Markov-processen gtt Markov-Prozess swd MATHEMATICS / Probability & Statistics / Stochastic Processes bisacsh Markov processes fast Markov processes Markov-Prozess (DE-588)4134948-9 gnd rswk-swf Markov-Prozess (DE-588)4134948-9 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780122839559 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gillespie, Daniel T. Markov processes an introduction for physical scientists Markov, Processus de Markov-processen gtt Markov-Prozess swd MATHEMATICS / Probability & Statistics / Stochastic Processes bisacsh Markov processes fast Markov processes Markov-Prozess (DE-588)4134948-9 gnd |
| subject_GND | (DE-588)4134948-9 |
| title | Markov processes an introduction for physical scientists |
| title_auth | Markov processes an introduction for physical scientists |
| title_exact_search | Markov processes an introduction for physical scientists |
| title_full | Markov processes an introduction for physical scientists Daniel T. Gillespie |
| title_fullStr | Markov processes an introduction for physical scientists Daniel T. Gillespie |
| title_full_unstemmed | Markov processes an introduction for physical scientists Daniel T. Gillespie |
| title_short | Markov processes |
| title_sort | markov processes an introduction for physical scientists |
| title_sub | an introduction for physical scientists |
| topic | Markov, Processus de Markov-processen gtt Markov-Prozess swd MATHEMATICS / Probability & Statistics / Stochastic Processes bisacsh Markov processes fast Markov processes Markov-Prozess (DE-588)4134948-9 gnd |
| topic_facet | Markov, Processus de Markov-processen Markov-Prozess MATHEMATICS / Probability & Statistics / Stochastic Processes Markov processes |
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