Nonlinear Spectral Decompositions in Imaging and Inverse Problems

Nonlinear Spectral Decompositions in Imaging and Inverse Problems

Society for Industrial and Applied Mathematics via YouTube Direct link

Normal Cone

6 of 21

6 of 21

Normal Cone

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Classroom Contents

Nonlinear Spectral Decompositions in Imaging and Inverse Problems

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  1. 1 Introduction
  2. 2 Basic Inverse Problem
  3. 3 Optimization
  4. 4 Constraint Qualification
  5. 5 Variation Analysis Tools
  6. 6 Normal Cone
  7. 7 Optimality System
  8. 8 Directional Differentiability
  9. 9 Boolean Subdifferential
  10. 10 Theorem
  11. 11 The boolean subdifferential
  12. 12 Example
  13. 13 NonLocal Models
  14. 14 NonLocal Means
  15. 15 Comparison
  16. 16 Ylevel
  17. 17 Functional Analysis
  18. 18 Kernel Estimation
  19. 19 Implementation Details
  20. 20 Reconstruction Results
  21. 21 Questions

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