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

Lingua: inglese

Editore: Springer International Publishing, 2023

3031222482 / 9783031222481

Da: Buchpark, Trebbin, GermaniaBuchpark

Venditore con 5 stelle

Venditore AbeBooks dal 30 settembre 2021

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EUR 105,00 spedizione 
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Descrizione dell’articolo da parte del venditore

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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. …

Codice articolo 41529060/1

Titolo
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models
Autore
Nan Chen
Editore
Springer International Publishing
Anno di pubblicazione
2023
Condizione
Hervorragend
Rilegatura
Rilegato
Lingua
inglese
ISBN 10
3031222482
ISBN 13
9783031222481
Cataloghi dei venditori
Bücher

Buchpark

Trebbin, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 30 settembre 2021

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 105,00EUR 130,00
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