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

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 computatio...

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Xehetasun bibliografikoak
Egile nagusia:	Chen, Nan (Egilea)
Erakunde egilea:	SpringerLink (Online service)
Formatua:	Baliabide elektronikoa eBook
Hizkuntza:	ingelesa
Argitaratua:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizioa:	2nd ed. 2025.
Saila:	Synthesis Lectures on Mathematics & Statistics,
Gaiak:	Stochastic processes. Stochastic models. System theory. Mathematics. Artificial intelligence > Data processing. Computer science. Stochastic Systems and Control. Stochastic Modelling. Complex Systems. Applications of Mathematics. Data Science. Models of Computation.
Sarrera elektronikoa:	https://doi.org/10.1007/978-3-031-81924-7
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

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