Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- 1 Singular Value Decomposition (SVD)
- 2 Fourier and Wavelet Transforms
- 3 Sparsity and Compressed Sensing
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
1 - Singular Value Decomposition (SVD)
from Part I - Dimensionality Reduction and Transforms
Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- 1 Singular Value Decomposition (SVD)
- 2 Fourier and Wavelet Transforms
- 3 Sparsity and Compressed Sensing
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
HTML view is not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.
Summary
A summary is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
- Type
- Chapter
- Information
- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 3 - 46Publisher: Cambridge University PressPrint publication year: 2019
You have
Access
- 14
- Cited by