19 episodes

Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.

Convex Optimization (EE364A) Stanford

    • Technology
    • 4.0 • 27 Ratings

Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.

    • video
    19. Convex Optimization I Lecture 19

    19. Convex Optimization I Lecture 19

    Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the final lecture on convex optimization for the course, Convex Optimization I (EE 364A).

    • 1 hr 15 min
    • video
    18. Convex Optimization I Lecture 18

    18. Convex Optimization I Lecture 18

    Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the interior-point methods of electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A).

    • 1 hr 16 min
    • video
    17. Convex Optimization I Lecture 17

    17. Convex Optimization I Lecture 17

    Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on equality constrained minimization for the course, Convex Optimization I (EE 364A).

    • 1 hr 19 min
    • video
    16. Convex Optimization I Lecture 16

    16. Convex Optimization I Lecture 16

    Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how equality constrained minimization is utilized in electrical engineering for the course, Convex Optimization I (EE 364A).

    • 1 hr 13 min
    • video
    15. Convex Optimization I Lecture 15

    15. Convex Optimization I Lecture 15

    Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how unconstrained minimization can be used in electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A).

    • 1 hr 16 min
    • video
    14. Convex Optimization I Lecture 14

    14. Convex Optimization I Lecture 14

    Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives a background lecture of numerical linear algebra for the course, Convex Optimization I (EE 364A).

    • 1 hr 10 min

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27 Ratings

27 Ratings

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