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

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複雑動態システムのモデリングと予測のための確率論的手法（第２版）<br>Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models (Synthesis Lectures on Mathematics & Statistics) （2. Aufl. 2025. xvi, 225 S. XVI, 225 p. 42 illus., 39 illus. in color.）

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複雑動態システムのモデリングと予測のための確率論的手法（第２版）
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models (Synthesis Lectures on Mathematics & Statistics) （2. Aufl. 2025. xvi, 225 S. XVI, 225 p. 42 illus., 39 illus. in color.）

Chen, Nan

SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING（2025発売）

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製本 Hardcover:ハードカバー版／ページ数 220 p.
言語 ENG
商品コード 9783031819230

Full Description

This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. The author presents mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools.