Name: Stochastic Methods for Modeling and Predicting Complex Dynamical Systems. Uncertainty Quantification, State Estimation, and Reduced-Order Models (en Inglés)
Price: 2268.00 UYU
Availability: InStock
Author: Nan Chen
ISBN: 9783031222504

portada Stochastic Methods for Modeling and Predicting Complex Dynamical Systems. Uncertainty Quantification, State Estimation, and Reduced-Order Models (en Inglés)

Stochastic Methods for Modeling and Predicting Complex Dynamical Systems. Uncertainty Quantification, State Estimation, and Reduced-Order Models (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Nan Chen

Año

2023

Idioma

Inglés

N° páginas

216

Encuadernación

Tapa Blanda

Dimensiones

24.40 x 17.00 x 1.10 cm

ISBN13

9783031222504

Stochastic Methods for Modeling and Predicting Complex Dynamical Systems. Uncertainty Quantification, State Estimation, and Reduced-Order Models (en Inglés)

Nan Chen (Autor) · Springer · Tapa Blanda

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Reseña del libro "Stochastic Methods for Modeling and Predicting Complex Dynamical Systems. Uncertainty Quantification, State Estimation, and Reduced-Order Models (en Inglés)"

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 (en Inglés) - Nan Chen

Reseña del libro "Stochastic Methods for Modeling and Predicting Complex Dynamical Systems. Uncertainty Quantification, State Estimation, and Reduced-Order Models (en Inglés)"

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