Residual Dynamic Mode Decomposition- Rigorous Data-Driven Computation of Spectral Properties of Koopman Operators for Dynamical Systems

Residual Dynamic Mode Decomposition- Rigorous Data-Driven Computation of Spectral Properties of Koopman Operators for Dynamical Systems

Fields Institute via YouTube Direct link

Approximate eigenfunctions

10 of 13

10 of 13

Approximate eigenfunctions

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Residual Dynamic Mode Decomposition- Rigorous Data-Driven Computation of Spectral Properties of Koopman Operators for Dynamical Systems

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Operator viewpoint
  3. 3 Koopman mode decomposition
  4. 4 Build the matrix: Dynamic Mode Decompositio
  5. 5 ResDMD: avoiding "too little"
  6. 6 Setup for continuous spectra
  7. 7 Spectral decomposition of operators
  8. 8 Evaluating spectral measure
  9. 9 Example: non-linear pendulum
  10. 10 Approximate eigenfunctions
  11. 11 Quadrature with trajectory data
  12. 12 Example: Verify the dictionary
  13. 13 Example: Trustworthy Koopman mode decom

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.