ECE133B - Simulation, Optimization, and Data Analysis

The course was offered for the first time in Spring 2020 (CCLE course website).

Lecture slides

  1. Matrix rank

  2. Positive semidedefinite matrices

  3. Symmetric eigendecomposition

  4. Singular value decomposition

  5. Applications to data fitting

  6. Geometric applications

  7. Spectral clustering

  8. Kernel methods

  9. QR algorithm

  10. Schur decomposition

  11. Constrained nonlinear least squares