Isbn: 9781461482857 - estimation and control problems for stochastic partial differential equations (springer optimization and its applications, 83, band 83) (2 Ergebnisse)

Sprache: Englisch
Verlag: New York, NY, Springer., 2013
Serie: Buch 75 von 176 - Springer Optimization and Its Applications
- Hardcover
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, DeutschlandUniversitätsbuchhandlung Herta Hold GmbH
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EUR 19,00
EUR 30,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
X, 183 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Springer Optimization and Its Applications, Vol. 83. Sprache: Englisch.…

Sprache: Englisch
Verlag: Springer US, 2013
Serie: Buch 75 von 176 - Springer Optimization and Its Applications
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 64,47
EUR 35,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: 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.…