Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- Part IV Reduced Order Models
- 11 Reduced Order Models (ROMs)
- 12 Interpolation for Parametric ROMs
- Glossary
- Bibliography
- Index
11 - Reduced Order Models (ROMs)
from Part IV - Reduced Order Models
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- Part IV Reduced Order Models
- 11 Reduced Order Models (ROMs)
- 12 Interpolation for Parametric ROMs
- Glossary
- Bibliography
- Index
Summary
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- Chapter
- Information
- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 375 - 402Publisher: Cambridge University PressPrint publication year: 2019
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