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In Lecture 15 of this course on Convex Optimization, we talk about a very very important topic in convex optimisation that is the Lagrange Dual Problem. This lecture is outlined as follows:
00:00:00 Intro
00:00:44 Revision: Lagrange Dual Function
00:01:30 The Dual Problem
00:06:54 Example 1: Dual Problem of Standard LP
00:08:59 Example 2: Dual Problem of Inequality LP
00:13:59 Weak Duality
00:16:24 Example 3: The 2-way Partitioning Problem (Revisited)
00:21:42 Strong Duality
00:23:15 Slater’s Condition
00:24:32 What is a Relative Interior (Convex Analysis by Tyrell Rockefellar) ?
00:28:16 Generalization of Slater’s Condition
00:29:26 Example 4: Duality of LS problems
00:38:33 Example 5: Duality of LP problems
00:54:52 Example 6: Duality of QCQP problems
00:59:22 Example 7 : Duality of the Entropy Maximization Problem
01:03:48 Example 8 : Duality of the Trust Region Problem (non-convex problem)
01:11:51 Outro
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Lecture 1 | Introduction to Convex Optimization:
https://youtu.be/SHJuGASZwlE
Lecture 2 | Convex Sets:
https://youtu.be/QV5qtTq1Tro
Lecture 3 | Convex Functions:
https://youtu.be/XzW-B1CJ_ao
Lecture 4 | Convex Optimization Principles :
https://youtu.be/aMC3WPGMLes
Lecture 5 | Linear Programming & SIMPLEX algorithm w MATLAB:
https://youtu.be/dAyeNmz6p-c
Lecture 6 | Quadratic Programs:
https://youtu.be/kM52hSvBY4k
Lecture 7 | Quadratically Constrained Quadratic Programs:
https://youtu.be/SP2-7AG2wfk
Lecture 8 | Second Order Cone Programming:
https://youtu.be/sVbcJx4g-LQ
Lecture 9 | Geometric Programs:
https://youtu.be/PoLKyYsmVD0
Lecture 10 | Generalized Geometric Programs:
https://youtu.be/Lio9kxMYbRk
Lecture 11 | SemiDefinite Programming
https://youtu.be/XwyE8vIszo4
Lecture 12| Vector and Multicriterion Optimization | Pareto Optimal points and the Pareto Frontier
https://youtu.be/iUAxxsz1Axw
Lecture 13 | Optimal Trade-off Analysis
https://youtu.be/YtGFNsZ0RVc
Lecture 14 | Lagrange Dual Function
https://youtu.be/Qneah_lyQ0o
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References:
[1] Boyd, Stephen, and Lieven Vandenberghe. Convex optimization. Cambridge university press, 2004.
[2] Nesterov, Yurii. Introductory lectures on convex optimization: A basic course. Vol. 87. Springer Science & Business Media, 2013.
Reference no. 3:
[3] Ben-Tal, Ahron, and Arkadi Nemirovski. Lectures on modern convex optimization: analysis, algorithms, and engineering applications. Vol. 2. Siam, 2001.
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Instructor: Dr. Ahmad Bazzi
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