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- 216 pages
- 8 hours of reading
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Focusing on the modeling of complex dynamical systems, this book introduces innovative stochastic tools and methods for understanding and predicting behaviors. It combines qualitative and quantitative modeling with efficient computational techniques and rigorous mathematical theories. Emphasizing the balance between accuracy and efficiency, the author offers practical examples across various disciplines such as physics, engineering, and climate science. Readers will gain insights into stochastic modeling, extreme events, and high-dimensional systems while enhancing their analytical intuition.
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems, Nan Chen
- Language
- Released
- 2023
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- (Hardcover)
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- Title
- Stochastic Methods for Modeling and Predicting Complex Dynamical Systems
- Subtitle
- Uncertainty Quantification, State Estimation, and Reduced-Order Models
- Language
- English
- Authors
- Nan Chen
- Publisher
- Springer International Publishing
- Released
- 2023
- Format
- Hardcover
- Pages
- 216
- ISBN13
- 9783031222481
- Series
- Description
- Focusing on the modeling of complex dynamical systems, this book introduces innovative stochastic tools and methods for understanding and predicting behaviors. It combines qualitative and quantitative modeling with efficient computational techniques and rigorous mathematical theories. Emphasizing the balance between accuracy and efficiency, the author offers practical examples across various disciplines such as physics, engineering, and climate science. Readers will gain insights into stochastic modeling, extreme events, and high-dimensional systems while enhancing their analytical intuition.