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Estimation and Control Problems for Stochastic Partial Differential Equations: 83 (Springer Optimization and Its Applications, 83) - Softcover
Synopsis
This book investigates key aspects of estimation and control theory for systems modeled by stochastic partial differential equations. The models presented describe many processes in turbulence theory, fluid mechanics, hydrology, astronomy and meteorology.
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Review
From the book reviews:
“The book is focused on the study of stochastic (partial) differential equations of hyperbolic type. ... there are several topics treated in the book that may be of interest to specialists working in stochastic multiparameter SDEs and SPDEs, especially for those interested in problems of control and filtering.” (Bohdan Maslowski, Mathematical Reviews, February, 2015)
From the Back Cover
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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- PublisherSpringer
- Publication date2016
- ISBN 10 1493944932
- ISBN 13 9781493944934
- BindingPaperback
- LanguageEnglish
- Number of pages193
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Estimation and Control Problems for Stochastic Partial Differential Equations
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ISBN 10: 1493944932
ISBN 13: 9781493944934
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Taschenbuch. Condition: 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. Seller Inventory # 9781493944934
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Estimation and Control Problems for Stochastic Partial Differential Equations (Springer Optimization and Its Applications)
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Springer New York, Springer US, 2016
ISBN 10: 1493944932
ISBN 13: 9781493944934
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Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781493944934
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Estimation and Control Problems for Stochastic Partial Differential Equations (Springer Optimization and Its Applications)
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Estimation and Control Problems for Stochastic Partial Differential Equations
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Condition: 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 . Seller Inventory # 385697025
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Estimation and Control Problems for Stochastic Partial Differential Equations (Springer Optimization and Its Applications)
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Estimation and Control Problems for Stochastic Partial Differential Equations
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