EE364a: Lecture Slides

Professor Stephen Boyd, Stanford University, Winter Quarter 2011–12
  1. Introduction

  2. Convex sets

  3. Convex functions

  4. Convex optimization problems

  5. Duality

  6. Approximation and fitting

  7. Statistical estimation

  8. Geometric problems

  9. Numerical linear algebra background

  10. Unconstrained minimization

  11. Equality constrained minimization

  12. Interior-point methods

  13. Conclusions

Lecture slides in one file.

Additional lecture slides:

  1. Convex optimization examples

  2. Stochastic programming

  3. Chance constrained optimization

  4. Filter design and equalization

  5. Disciplined convex programming and CVX

Two lectures from EE364b:

  1. l_1 methods for convex-cardinality problems

  2. l_1 methods for convex-cardinality problems, part II