Stochastic Methods for Modeling and Predicting Complex Dynamical Systems
portes grátis
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems
Uncertainty Quantification, State Estimation, and Reduced-Order Models
Chen, Nan
Springer International Publishing AG
03/2025
222
Dura
9783031819230
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Stochastic Toolkits.- Introduction to Information Theory.- Basic Stochastic Computational Methods.- Simple Gaussian and Non-Gaussian SDEs.- Data Assimilation.- Optimal Control.- Prediction.- Data-Driven Low-Order Stochastic Models.- Conditional Gaussian Nonlinear Systems.- Parameter Estimation with Uncertainty Quantification.- Combining Stochastic Models with Machine Learning.- Instruction Manual for the MATLAB Codes.
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Stochastic Methods;Complex Systems;Uncertainty Quantification;Extreme Events;Non-Gaussian Features;Prediction;Data Assimilation
Stochastic Toolkits.- Introduction to Information Theory.- Basic Stochastic Computational Methods.- Simple Gaussian and Non-Gaussian SDEs.- Data Assimilation.- Optimal Control.- Prediction.- Data-Driven Low-Order Stochastic Models.- Conditional Gaussian Nonlinear Systems.- Parameter Estimation with Uncertainty Quantification.- Combining Stochastic Models with Machine Learning.- Instruction Manual for the MATLAB Codes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
