Markov Processes Semigroups Generators by Kolokoltsov Vassili (18 results)

Language: English
Published by Walter de Gruyter, 2011
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Language: English
Published by de Gruyter, 2011
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Language: English
Published by Walter de Gruyter, 2011
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Language: English
Published by Walter de Gruyter, 2011
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Language: English
Published by Walter de Gruyter, 2011
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Language: English
Published by De Gruyter, 2011
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space. This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the 'physical picture' - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools. The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Lévy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes. From the contents: Tools from Probability and Analysis Brownian motion Markov processes and martingales SDE, DE and martingale problems Processes in Euclidean spaces Processes in domains with a boundary Heat kernels for stable-like processes Continuous-time random walks and fractional dynamics Complex chains and Feynman integral.…

Language: English
Published by Walter de Gruyter, 2011
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Language: English
Published by Walter de Gruyter, 2011
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Language: English
Published by Walter de Gruyter, Incorporated, 2011
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Condition: New. pp. xviii + 430.

Language: English
Published by De Gruyter, 2011
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Hardcover. Condition: Brand New. 1st edition. 430 pages. 9.60x7.00x1.10 inches. In Stock.

Language: English
Published by Walter de Gruyter, Incorporated, 2011
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Language: English
Published by De Gruyter, DE, 2011
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Hardback. Condition: New. Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space. This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the "physical picture" - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools. The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Lévy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes. From the contents: Tools from Probability and AnalysisBrownian motionMarkov processes and martingalesSDE, ?DE and martingale problemsProcesses in Euclidean spacesProcesses in domains with a boundaryHeat kernels for stable-like processesContinuous-time random walks and fractional dynamicsComplex chains and Feynman integral.…

Language: English
Published by De Gruyter, 2011
- Hardcover
- First Edition
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Language: English
Published by De Gruyter, DE, 2011
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Hardback. Condition: New. Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space. This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the "physical picture" - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools. The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Lévy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes. From the contents: Tools from Probability and AnalysisBrownian motionMarkov processes and martingalesSDE, ?DE and martingale problemsProcesses in Euclidean spacesProcesses in domains with a boundaryHeat kernels for stable-like processesContinuous-time random walks and fractional dynamicsComplex chains and Feynman integral.…

Language: English
Published by De Gruyter, 2011
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Language: English
Published by De Gruyter, De Gruyter Akademie Forschung Mär 2011, 2011
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space. This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the 'physical picture' - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools. The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Lévy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes. From the contents: Tools from Probability and Analysis Brownian motion Markov processes and martingales SDE, DE and martingale problems Processes in Euclidean spaces Processes in domains with a boundary Heat kernels for stable-like processes Continuous-time random walks and fractional dynamics Complex chains and Feynman integral 448 pp. Englisch.…

Language: English
Published by De Gruyter, 2011
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. [.] As a whole, the book is a valuable source of information both for specialists in the field and those who study the theory of stochastic processes. Anatoly N. Kochubei, Zentralblatt fuer Mathematik.…

Language: English
Published by De Gruyter, De Gruyter Akademie Forschung Mär 2011, 2011
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space.This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the 'physical picture' - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools.The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Lévy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes.From the contents: Tools from Probability and AnalysisBrownian motionMarkov processes and martingalesSDE, ?DE and martingale problemsProcesses in Euclidean spacesProcesses in domains with a boundaryHeat kernels for stable-like processesContinuous-time random walks and fractional dynamicsComplex chains and Feynman integralDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 448 pp. Englisch.…