Data-Driven Science and Engineering

Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

Brunton, Steven L.; Kutz, J. Nathan

Cambridge University Press

05/2022

614

Dura

Inglês

9781009098489

15 a 20 dias

1400

Descrição não disponível.
Part I. Dimensionality Reduction and Transforms: 1. Singular Value Decomposition; 2. Fourier and Wavelet Transforms; 3. Sparsity and Compressed Sensing; Part II. Machine Learning and Data Analysis: 4. Regression and Model Selection; 5. Clustering and Classification; 6. Neural Networks and Deep Learning; Part III. Dynamics and Control: 7. Data-Driven Dynamical Systems; 8. Linear Control Theory; 9. Balanced Models for Control; Part IV. Advanced Data-Driven Modeling and Control: 10. Data-Driven Control; 11. Reinforcement Learning; 12. Reduced Order Models (ROMs); 13. Interpolation for Parametric ROMs; 14. Physics-Informed Machine Learning.