Convex Optimization I

Video Lectures

Displaying all 19 video lectures.
Lecture 1
Introduction
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Introduction
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE 364A).
Lecture 2
Convex Sets
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Convex Sets
Guest Lecturer Jacob Mattingley covers convex sets and their applications in electrical engineering and beyond for the course, Convex Optimization I (EE 364A).
Lecture 3
Convex and Concave Functions
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Convex and Concave Functions
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex and concave functions for the course, Convex Optimization I (EE 364A).
Lecture 4
Convex Functions in Electrical Engineering
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Convex Functions in Electrical Engineering
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex functions in electrical engineering for the course, Convex Optimization I (EE 364A).
Lecture 5
Convex Optimization Problems
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Convex Optimization Problems
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the different problems that are included within convex optimization for the course, Convex Optimization I (EE 364A).
Lecture 6
Convex Optimization Problems (cont.)
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Convex Optimization Problems (cont.)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex optimization problems for the course, Convex Optimization I (EE 364A).
Lecture 7
Convex Optimization Problems (cont.)
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Convex Optimization Problems (cont.)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, expands upon his previous lectures on convex optimization problems for the course, Convex Optimization I (EE 364A).
Lecture 8
Duality in Electrical Engineering
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Duality in Electrical Engineering
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on duality in the realm of electrical engineering and how it is utilized in convex optimization for the course, Convex Optimization I (EE 364A).
Lecture 9
Duality in Electrical Engineering (cont.)
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Duality in Electrical Engineering (cont.)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture upon duality for the course, Convex Optimization I (EE 364A).
Lecture 10
Approximation and Fitting Within Convex Optimization
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Approximation and Fitting Within Convex Optimization
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on approximation and fitting within convex optimization for the course, Convex Optimization I (EE 364A).
Lecture 11
Statistical Estimation
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Statistical Estimation
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how statistical estimation can be used in convex optimization for the course, Convex Optimization I (EE 364A).
Lecture 12
Geometric Problems
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Geometric Problems
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on geometric problems in the context of electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A).
Lecture 13
Geometric Problems (cont.)
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Geometric Problems (cont.)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on geometric problems for the course, Convex Optimization I (EE 364A).
Lecture 14
Numerical Linear Algebra
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Numerical Linear Algebra
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).
Lecture 15
Unconstrained Minimization in Electrical Engineering
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Unconstrained Minimization in Electrical Engineering
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).
Lecture 16
Equality Constrained Minimization in Electrical Engineering
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Equality Constrained Minimization in Electrical Engineering
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).
Lecture 17
Equality Constrained Minimization in Electrical Engineering (cont.)
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Equality Constrained Minimization in Electrical Engineering (cont.)
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).
Lecture 18
Interior-Point Methods of Electrical Engineering
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Interior-Point Methods of Electrical Engineering
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).
Lecture 19
Final Lecture
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Final Lecture
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).