Data-Driven Science and Engineering

Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

;

Cambridge University Press

02/2019

492

Dura

Inglês

9781108422093

imprevisto

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; 10. Data-driven control; Part IV. Reduced-Order Models: 11. Reduced-order models (ROMs); 12. Interpolation for parametric ROMs.
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