Stephen Boyd

Courses

1. 

   Introduction to Linear Dynamical Systems

   Stanford / Mathematics
   Stephen Boyd
   
2. 

   Convex Optimization I

   Stanford / Mathematics
   Stephen Boyd
   
3. 

   Convex Optimization II

   Stanford / Mathematics
   Stephen Boyd
   

Lectures

1. 
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   Example: Piecewise Linear Minimization

   Stanford / Mathematics
   Stephen Boyd
   
2. 
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   Overview Of Linear Dynamical Systems

   Stanford / Mathematics
   Stephen Boyd
   
3. 
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   Orthonormal Set Of Vectors

   Stanford / Mathematics
   Stephen Boyd
   
4. 
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   Least-Squares

   Stanford / Mathematics
   Stephen Boyd
   
5. 
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   Least-Squares Polynomial Fitting

   Stanford / Mathematics
   Stephen Boyd
   
6. 
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   Multi-Objective Least-Squares

   Stanford / Mathematics
   Stephen Boyd
   
7. 
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   Time Transfer Property

   Stanford / Mathematics
   Stephen Boyd
   
8. 
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   Jordan Canonical Form

   Stanford / Mathematics
   Stephen Boyd
   
9. 
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   RC Circuit (Example)

   Stanford / Mathematics
   Stephen Boyd
   
10. 
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    Gain Of A Matrix In A Direction

    Stanford / Mathematics
    Stephen Boyd
    
11. 
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    Markov Chain (Example)

    Stanford / Mathematics
    Stephen Boyd
    
12. 
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    Introduction to Convex Optimization I

    Stanford / Mathematics
    Stephen Boyd
    
13. 
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    Guest Lecturer: Jacob Mattingley

    Stanford / Mathematics
    Stephen Boyd
    
14. 
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    Logistics

    Stanford / Mathematics
    Stephen Boyd
    
15. 
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    Optimal And Locally Optimal Points

    Stanford / Mathematics
    Stephen Boyd
    
16. 
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    Generalized Inequality Constraints

    Stanford / Mathematics
    Stephen Boyd
    
17. 
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    Lagrangian

    Stanford / Mathematics
    Stephen Boyd
    
18. 
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    Applications Section of Course

    Stanford / Mathematics
    Stephen Boyd
    
19. 
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    Statistical Estimation

    Stanford / Mathematics
    Stephen Boyd
    
20. 
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    Continue On Experiment Design

    Stanford / Mathematics
    Stephen Boyd
    
21. 
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    Linear Discrimination (Cont.)

    Stanford / Mathematics
    Stephen Boyd
    
22. 
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    Algorithm Section Of The Course

    Stanford / Mathematics
    Stephen Boyd
    
23. 
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    Continue On Unconstrained Minimization

    Stanford / Mathematics
    Stephen Boyd
    
24. 
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    Logarithmic Barrier

    Stanford / Mathematics
    Stephen Boyd
    
25. 
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    Recap: Subgradients

    Stanford / Mathematics
    Stephen Boyd
    
26. 
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    Convergence Proof, Stopping Criterion

    Stanford / Mathematics
    Stephen Boyd
    
27. 
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    Project Subgradient For Dual Problem

    Stanford / Mathematics
    Stephen Boyd
    
28. 
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    Stochastic Programming

    Stanford / Mathematics
    Stephen Boyd
    
29. 
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    Addendum: Hit-And-Run CG Algorithm

    Stanford / Mathematics
    Stephen Boyd
    
30. 
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    Recap: Ellipsoid Method

    Stanford / Mathematics
    Stephen Boyd
    
31. 
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    Comments: Latex Typesetting Style

    Stanford / Mathematics
    Stephen Boyd
    
32. 
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    Decomposition Applications

    Stanford / Mathematics
    Stephen Boyd
    
33. 
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    Sequential Convex Programming

    Stanford / Mathematics
    Stephen Boyd
    
34. 
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    Recap: 'Difference Of Convex' Programming

    Stanford / Mathematics
    Stephen Boyd
    
35. 
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    Recap: Conjugate Gradient Method

    Stanford / Mathematics
    Stephen Boyd
    
36. 
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    Methods (Truncated Newton Method)

    Stanford / Mathematics
    Stephen Boyd
    
37. 
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    Recap: Example: Minimum Cardinality Problem

    Stanford / Mathematics
    Stephen Boyd
    
38. 
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    Model Predictive Control

    Stanford / Mathematics
    Stephen Boyd
    
39. 
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    Stochastic Model Predictive Control

    Stanford / Mathematics
    Stephen Boyd
    
40. 
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    Recap: Branch And Bound Methods, Basic Idea, Unconstrained, Nonconvex Minimization

    Stanford / Mathematics
    Stephen Boyd
    
41. 
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    Basic Rules for Subgradient Calculus

    Stanford / Mathematics
    Stephen Boyd
    
42. 
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    Vector Composition

    Stanford / Mathematics
    Stephen Boyd
    
43. 
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    (Generalized) Linear-Fractional Program

    Stanford / Mathematics
    Stephen Boyd
    
44. 
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    Interior-Point Methods (Cont.)

    Stanford / Mathematics
    Stephen Boyd
    
45. 
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    Complementary Slackness

    Stanford / Mathematics
    Stephen Boyd
    
46. 
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    LU Factorization (Cont.)

    Stanford / Mathematics
    Stephen Boyd
    
47. 
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    Newton's Method (Cont.)

    Stanford / Mathematics
    Stephen Boyd
    
48. 
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    Linear Functions (Continued)

    Stanford / Mathematics
    Stephen Boyd
    
49. 
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    Linearization (Continued)

    Stanford / Mathematics
    Stephen Boyd
    
50. 
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    Nullspace Of A Matrix (Continued)

    Stanford / Mathematics
    Stephen Boyd
    
51. 
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    Least-Norm Solution

    Stanford / Mathematics
    Stephen Boyd
    
52. 
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    Examples Of Autonomous Linear Dynamical Systems

    Stanford / Mathematics
    Stephen Boyd
    
53. 
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    Solution Via Laplace Transform And Matrix Exponential

    Stanford / Mathematics
    Stephen Boyd
    
54. 
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    DC Or Static Gain Matrix

    Stanford / Mathematics
    Stephen Boyd
    
55. 
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    Sensitivity Of Linear Equations To Data Error

    Stanford / Mathematics
    Stephen Boyd
    
56. 
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    Reachability

    Stanford / Mathematics
    Stephen Boyd
    
57. 
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    Continuous-Time Reachability

    Stanford / Mathematics
    Stephen Boyd