Convex Optimization (EE364B)

Stephen Boyd
  • 4.5(6개의 평가)
  • 과학 기술

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.

  1. 2008. 07. 17. · 비디오

    1. Convex Optimization II Lecture 1

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd's first lecture is on the course requirements and homework assignments.

    3초

  2. 2008. 07. 17. · 비디오

    2. Convex Optimization II Lecture 2

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues subgradients.

    4초

  3. 2008. 07. 17. · 비디오

    3. Convex Optimization II Lecture 3

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd covers subgradient methods.

    4초

  4. 2008. 07. 17. · 비디오

    4. Convex Optimization II Lecture 4

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd lectures on subgradient methods for constrained problems.

    4초

  5. 2008. 07. 17. · 비디오

    5. Convex Optimization II Lecture 5

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces stochastic programing and the localization and cutting-plane methods.

    4초

  6. 2008. 07. 17. · 비디오

    6. Convex Optimization II Lecture 6

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd lectures on the localization and cutting-plane methods and then moves into the Analytic center cutting-plane methods.

    4초

  7. 2008. 07. 17. · 비디오

    7. Convex Optimization II Lecture 7

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd finishes his lecture on Analytic center cutting-plane method, and begins Ellipsoid methods.

    4초

  8. 2008. 07. 17. · 비디오

    8. Convex Optimization II Lecture 8

    Lecture by Professor Stephen Boyd for Convex Optimizations II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces primal and dual decomposition methods.

    4초
모두 보기(18개)

평가 및 리뷰

4.5
최고 5점
6개의 평가

소개

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.

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