Data-Driven Science and Engineering
eBook - PDF

Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

About this book

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.

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Yes, you can access Data-Driven Science and Engineering by Steven L. Brunton,J. Nathan Kutz in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title page
  4. Copyright Information
  5. Contents
  6. Preface
  7. Common Optimization Techniques, Equations, Symbols, and Acronyms
  8. Part I Dimensionality Reduction and Transforms
  9. Part II Machine Learning and Data Analysis
  10. Part III Dynamics and Control
  11. Part IV Reduced Order Models
  12. Glossary
  13. Bibliography
  14. Index