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Condition: New. Second Edition 2025 NO-PA16APR2015-KAP.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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New Directions in Flow Control: Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639100514 ISBN 13: 9783639100518
Condition: New.
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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New Directions in Flow Control: Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639100514 ISBN 13: 9783639100518
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.85
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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New Directions in Flow Control: Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems
Language: English
Published by VDM Verlag Dr. M�ller 2008-12-29, 2008
ISBN 10: 3639100514 ISBN 13: 9783639100518
Paperback. Condition: New.
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models
Language: English
Published by Springer International Publishing Mär 2024, 2024
ISBN 10: 3031222512 ISBN 13: 9783031222511
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational science, and data science. In addition, the author discusses how to choose and apply suitable mathematical tools to several disciplines including pure and applied mathematics, physics, engineering, neural science, material science, climate and atmosphere, ocean science, and many others. Readers will not only learn detailed techniques for stochastic modeling and prediction, but will develop their intuition as well. Important topics in modeling and prediction including extreme events, high-dimensional systems, and multiscale features are discussed.
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Apr 2025, 2025
ISBN 10: 3031819233 ISBN 13: 9783031819230
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. The author presents mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools. The book provides practical examples and motivations when introducing these tools, merging mathematics, statistics, information theory, computational science, and data science. The author emphasizes the balance between computational efficiency and modeling accuracy while equipping readers with the skills to choose and apply stochastic tools to a wide range of disciplines. This second edition includes updated discussion of combining stochastic models with machine learning and addresses several additional topics, including importance sampling, regression, and maximum likelihood estimate. The author also introduces a new chapter on optimal control.
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New Directions in Flow Control | Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639100514 ISBN 13: 9783639100518
Taschenbuch. Condition: Neu. New Directions in Flow Control | Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems | Co ku Kasnako lu | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639100518 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Reduced Order Methods for Modeling and Computational Reduction (MS&A, 9)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Reduced Order Methods for Modeling and Computational Reduction (MS&A, 9)
Book 11 of 19: MS&ASeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Condition: New. pp. 344 Softcover reprint of the original 1st ed. 2014 edition NO-PA16APR2015-KAP.
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031222482 ISBN 13: 9783031222481
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Condition: New. pp. x + 334.
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Paperback. Condition: Brand New. reprint edition. 348 pages. 9.25x6.10x0.79 inches. In Stock.
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Hardcover. Condition: Brand New. 332 pages. 9.25x6.25x0.75 inches. In Stock.
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Reduced Order Methods for Modeling and Computational Reduction
Book 11 of 19: MS&ALanguage: English
Published by Springer International Publishing, Springer International Publishing Dez 2013, 2013
ISBN 10: 3319020897 ISBN 13: 9783319020891
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics. Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects. This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch.
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Reduced Order Methods for Modeling and Computational Reduction
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319377353 ISBN 13: 9783319377353
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.
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Reduced Order Methods for Modeling and Computational Reduction
Book 11 of 19: MS&ALanguage: English
Published by Springer International Publishing, 2013
ISBN 10: 3319020897 ISBN 13: 9783319020891
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.
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Hardcover. Condition: Like New. Like New. book.
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New Directions in Flow Control Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639100514 ISBN 13: 9783639100518
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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New Directions in Flow Control Reduced Order Modeling, Nonlinear Analysis and Control Design Methods for the Control of Fluid Flow Problems
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639100514 ISBN 13: 9783639100518
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 48.44
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems | Uncertainty Quantification, State Estimation, and Reduced-Order Models
Language: English
Published by Springer Nature Switzerland, 2025
ISBN 10: 3031819233 ISBN 13: 9783031819230
Buch. Condition: Neu. Stochastic Methods for Modeling and Predicting Complex Dynamical Systems | Uncertainty Quantification, State Estimation, and Reduced-Order Models | Nan Chen | Buch | xvi | Englisch | 2025 | Springer Nature Switzerland | EAN 9783031819230 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
