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Viac informácií o knihe Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics

• Celý názov: Stochastic Methods for Modeling and Predicting Complex Dynamical Systems
• Podnázov: Uncertainty Quantification, State Estimation, and Reduced-Order Models
• Autor: Nan Chen
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 220
• EAN: 9783031819230
• ID: 47021512
• Nakladateľ: Springer, Berlin
• Hmotnosť: 529 g
• Rozmery: 240 × 168 mm
• Dátum vydania: 27. May 2025

Obľúbené z iného súdka

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