Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. Seller Inventory # 9783031819230

Contact seller

Buy New

US$ 49.20

Convert currency

Shipping: US$ 25.68

From Germany to U.S.A.

Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models (Synthesis Lectures on Mathematics & Statistics)

Chen, Nan

Published by Springer, 2025

ISBN 10: 3031819233 ISBN 13: 9783031819230

New Hardcover

Seller: Books Puddle, New York, NY, U.S.A.

Seller rating 4 out of 5 stars

Condition: New. Second Edition 2025 NO-PA16APR2015-KAP. Seller Inventory # 26404095299

Contact seller

Buy New

US$ 76.38

Convert currency

Shipping: US$ 3.99

Within U.S.A.

Destination, rates & speeds

Quantity: 4 available

Add to basket

Seller Image

Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models

Nan Chen

Published by Springer Nature Switzerland, Springer Nature Switzerland Apr 2025, 2025

ISBN 10: 3031819233 ISBN 13: 9783031819230

New Hardcover

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars

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. Seller Inventory # 9783031819230

Contact seller