Course: Course | Convex Optimization Dnatube

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Lec 1 - Convex Optimization I (Stanford)

"Lec 1 - Convex Optimization I (Stanford)" Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex...
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Lec 2 - Convex Optimization I (Stanford)

"Lec 2 - Convex Optimization I (Stanford)" Guest Lecturer Jacob Mattingley covers convex sets and their applications in electrical engineering and beyond for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex...
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Lec 3 - Convex Optimization I (Stanford)

"Lec 3 - Convex Optimization I (Stanford)" Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex and concave functions for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics...
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Lec 4 - Convex Optimization I (Stanford)

"Lec 4 - Convex Optimization I (Stanford)" 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). Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=3940DD956CDF0622 Convex Optimization I concentrates on recognizing and...
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Lec 5 - Convex Optimization I (Stanford)

"Lec 5 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets,...
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Lec 6 - Convex Optimization I (Stanford)

"Lec 6 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization...
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Lec 7 - Convex Optimization I

"Lec 7 - Convex Optimization I" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization...
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Lec 8 - Convex Optimization I (Stanford)

"Lec 8 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in...
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Lec 9 - Convex Optimization I (Stanford)

"Lec 9 - Convex Optimization I (Stanford)" Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture upon duality for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of...
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Lec 10 - Convex Optimization I (Stanford)

"Lec 10 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and...
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Lec 11 - Convex Optimization I (Stanford)

"Lec 11 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions,...
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Lec 12 - Convex Optimization I (Stanford)

"Lec 12 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering....
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Lec 13 - Convex Optimization I (Stanford)

"Lec 13 - Convex Optimization I (Stanford)" Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on geometric problems for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems....
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Lec 14 - Convex Optimization I (Stanford)

"Lec 14 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization...
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Lec 15 - Convex Optimization I (Stanford)

"Lec 15 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in...
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Lec 16 - Convex Optimization I (Stanford)

"Lec 16 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex...
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Convex Optimization (Stanford)

This lecture on convex optimization is by professor Boyd from the Stanford university. He shows how to recognize and solve convex optimization problems that arise in engineering.
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Lec18 - Convex Optimization I (Stanford)

"Lec18 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex...
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Lec 19 - Convex Optimization I (Stanford)

"Lec 19 - Convex Optimization I (Stanford)" 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). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems....
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Lec 20 - Convex Optimization II (Stanford)

"Lec 20 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd's first lecture is on the course requirements, homework assignments, and then goes into his first topic- Subgradients. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods....
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Lec 21 - Convex Optimization II (Stanford)

"Lec 21 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues subgradients. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections....
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Lec 22 - Convex Optimization II (Stanford)

"Lec 22 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd covers subgradient methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections....
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Convex Optimization

This lecture by professor Stephan Boyd from Stanford university is on convex optimization.
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Lec 24 - Convex Optimization II (Stanford)

"Lec 24 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces stochastic programing and the localization and cutting-plane methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via...
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Lec 25 - Convex Optimization II (Stanford)

"Lec 25 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization 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. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods....
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Lec 26 - Convex Optimization II (Stanford)

"Lec 26 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd finishes his lecture on Analytic center cutting-plane method, and begins Ellipsoid methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex...
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Lec 27 - Convex Optimization II (Stanford)

"Lec 27 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces primal and dual decomposition methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition....
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Lec 28 - Convex Optimization II (Stanford)

"Lec 28 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd concludes his lecture on primal and dual decomposition methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual...
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Lec 29 - Convex Optimization II (Stanford)

"Lec 29 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces a new topic, Decomposition Applications. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition....
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Lec 30 - Convex Optimization II (Stanford)

"Lec 30 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd lectures on Sequential Convex Programming. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating...
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Lec 31 - Convex Optimization II (Stanford)

"Lec 31 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd finishes his talk on Sequential Convex Programming and begins a lecture on Conjugate Gradient Methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex...
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Lec 32 - Convex Optimization II (Stanford)

"Lec 32 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues his lecture on Conjugate Gradient Methods and then starts lecturing on the Truncated Newton Method. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized...
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Lec 33 - Convex Optimization II (Stanford)

"Lec 33 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues his lecture on the Truncated Newton Method then moves into L1-Norm Methods for Convex-Cardinality Problems. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods....
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Lec 34 - Convex Optimization II (Stanford)

"Lec 34 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues lecturing on L1 Methods for Convex-Cardinality Problems. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual...
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Lec 35 - Convex Optimization II (Stanford)

"Lec 35 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces a new topic- Model Predictive Control. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition....
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Lec 36 - Convex Optimization II (Stanford)

"Lec 36 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd lectures on Stochastic Model Predictive Control, he then begins discussing Branch-and-bound methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex...
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Lec Last - Convex Optimization II (Stanford)

"Lec Last - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd's final lecture of the quarter is on Branch-and-bound methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual...

Course | Convex Optimization


Source of these courses is stanford 
Stanford Electrical Engineering Course on Convex Optimization. Good knowledge of linear algebra. Exposure to numerical computing, optimization, and application fields helpful but not required; the engineering applications will be kept basic and simple. Good knowledge of linear algebra. Exposure to numerical computing, optimization, and application fields helpful but not required; the engineering applications will be kept basic and simple.
stanford  Website: http://www.dnatube.com/school/stanford

COURSE NAME: Course | Convex Optimization

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