Estimation and Control Problems for Stochastic Partial Differential Equations: 83 (Springer Optimization and Its Applications, 83) - Tapa dura
Libro 75 de 176: Springer Optimization and Its Applications
Sinopsis
Focusing on research surrounding aspects of insufficiently studied problems of estimation and optimal control of random fields, this book exposes some important aspects of those fields for systems modeled by stochastic partial differential equations. It contains many results of interest to specialists in both the theory of random fields and optimal control theory who use modern mathematical tools for resolving specific applied problems, and presents research that has not previously been covered. More generally, this book is intended for scientists, graduate, and post-graduates specializing in probability theory and mathematical statistics.
The models presented describe many processes in turbulence theory, fluid mechanics, hydrology, astronomy, and meteorology, and are widely used in pattern recognition theory and parameter identification of stochastic systems. Therefore, this book may also be useful to applied mathematicians who use probability and statistical methods in the selection of useful signals subject to noise, hypothesis distinguishing, distributed parameter systems optimal control, and more. Material presented in this monograph can be used for education courses on the estimation and control theory of random fields.
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De la contraportada
Focusing on research surrounding aspects of insufficiently studied problems of estimation and optimal control of random fields, this book exposes some important aspects of those fields for systems modeled by stochastic partial differential equations. It contains many results of interest to specialists in both the theory of random fields and optimal control theory who use modern mathematical tools for resolving specific applied problems, and presents research that has not previously been covered. More generally, this book is intended for scientists, graduate, and post-graduates specializing in probability theory and mathematical statistics.
The models presented describe many processes in turbulence theory, fluid mechanics, hydrology, astronomy, and meteorology, and are widely used in pattern recognition theory and parameter identification of stochastic systems. Therefore, this book may also be useful to applied mathematicians who use probability and statistical methods in the selection of useful signals subject to noise, hypothesis distinguishing, distributed parameter systems optimal control, and more. Material presented in this monograph can be used for education courses on the estimation and control theory of random fields.
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Estimation and Control Problems for Stochastic Partial Differential Equations.
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New York, NY, Springer., 2013
ISBN 10: 1461482852
ISBN 13: 9781461482857
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ESTIMATION AND CONTROL PROBLEMS FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS
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Estimation and Control Problems for Stochastic Partial Differential Equations (eng)
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ESTIMATION AND CONTROL PROBLEMS FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Springer New York Sep 2013, 2013
ISBN 10: 1461482852
ISBN 13: 9781461482857
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Focusing on research surrounding aspects of insufficiently studied problems of estimation and optimal control of random fields, this book exposes some important aspects of those fields for systems modeled by stochastic partial differential equations. It contains many results of interest to specialists in both the theory of random fields and optimal control theory who use modern mathematical tools for resolving specific applied problems, and presents research that has not previously been covered. More generally, this book is intended for scientists, graduate, and post-graduates specializing in probability theory and mathematical statistics.The models presented describe many processes in turbulence theory, fluid mechanics, hydrology, astronomy, and meteorology, and are widely used in pattern recognition theory and parameter identification of stochastic systems. Therefore, this book may also be useful to applied mathematicians who use probability and statistical methods in the selection of useful signals subject to noise, hypothesis distinguishing, distributed parameter systems optimal control, and more. Material presented in this monograph can be used for education courses on the estimation and control theory of random fields. 196 pp. Englisch. Nº de ref. del artículo: 9781461482857
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates important aspects of estimation and control theory for systems modeled by stochastic partial differential equations Presents research on problems of estimation and control theory for random fields that has not been previously covered . Nº de ref. del artículo: 4199631
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Springer, Springer Sep 2013, 2013
ISBN 10: 1461482852
ISBN 13: 9781461482857
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Focusing on research surrounding aspects of insufficiently studied problems of estimation and optimal control of random fields, this book exposes some important aspects of those fields for systems modeled by stochastic partial differential equations. It contains many results of interest to specialists in both the theory of random fields and optimal control theory who use modern mathematical tools for resolving specific applied problems, and presents research that has not previously been covered. More generally, this book is intended for scientists, graduate, and post-graduates specializing in probability theory and mathematical statistics.The models presented describe many processes in turbulence theory, fluid mechanics, hydrology, astronomy, and meteorology, and are widely used in pattern recognition theory and parameter identification of stochastic systems. Therefore, this book may also be useful to applied mathematicians who use probability and statistical methods in the selection of useful signals subject to noise, hypothesis distinguishing, distributed parameter systems optimal control, and more. Material presented in this monograph can be used for education courses on the estimation and control theory of random fields.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. Nº de ref. del artículo: 9781461482857
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