19 episodes
Convex Optimization (EE364A) Stephen Boyd
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- Technology
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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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).
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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).
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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).
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1. Convex Optimization I Lecture 1
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE 364A).
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2. Convex Optimization I Lecture 2
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex sets and their applications in electrical engineering and beyond for the course, Convex Optimization I (EE 364A).
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3. Convex Optimization I Lecture 3
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex and concave functions for the course, Convex Optimization I (EE 364A).
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