Lecture 15 | Lagrange Dual Problem | Convex Optimization by Dr. Ahmad Bazzi
☕️ Buy me a coffee: https://paypal.me/donationlink240 🙏🏻 Support me on Patreon: / ahmadbazzi 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 --------------------------------------------------------------------------------------------------------- Lecture 1 | Introduction to Convex Optimization: • Lecture 1 | Convex Optimization | Introduc... Lecture 2 | Convex Sets: • Lecture 2 | Convex Sets | Convex Optimizat... Lecture 3 | Convex Functions: • Lecture 3 | Convex Functions | Convex Opti... Lecture 4 | Convex Optimization Principles : • Lecture 4 | Convex Optimization Principles... Lecture 5 | Linear Programming & SIMPLEX algorithm w MATLAB: • Lecture 5 | Linear Programming & SIMPLEX a... Lecture 6 | Quadratic Programs: • Lecture 6 | Quadratic Programs | Convex Op... Lecture 7 | Quadratically Constrained Quadratic Programs: • Lecture 7 | Quadratically Constrained Quad... Lecture 8 | Second Order Cone Programming: • Lecture 8 | Second Order Cone Programming ... Lecture 9 | Geometric Programs: • Lecture 9 | Geometric Programs (GP) | Conv... Lecture 10 | Generalized Geometric Programs: • Lecture 10 | Generalized Geometric Program... Lecture 11 | SemiDefinite Programming • Lecture 11 | Semidefinite Programming (SDP... Lecture 12| Vector and Multicriterion Optimization | Pareto Optimal points and the Pareto Frontier • Lecture 12 | Vector and Multicriterion Opt... Lecture 13 | Optimal Trade-off Analysis • Lecture 13 | Optimal Trade-off Analysis | ... Lecture 14 | Lagrange Dual Function • Lecture 14 | Lagrange Dual Function | Conv... --------------------------------------------------------------------------------------------------------- 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. --------------------------------------------------------------------------------------------------------- Instructor: Dr. Ahmad Bazzi IG: / drahmadbazzi FB: https://www.facebook.com/profile.php?... RG: https://www.researchgate.net/profile/... MSE: https://math.stackexchange.com/users/... YT: / ahmadbazzi --------------------------------------------------------------------------------------------------------- Credits : Microsoft OneNote: https://products.office.com/en-gb/one... #ConvexOptimization #Lagrange #Dual

Lecture 16 | Certificate of Suboptimality (ε-suboptimality) | Convex Optimization by Dr. Ahmad Bazzi

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Lecture 12 | Vector and Multicriterion Optimization | Pareto Optimal points and the Pareto Frontier

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The Karush–Kuhn–Tucker (KKT) Conditions and the Interior Point Method for Convex Optimization

Understanding Lagrange Multipliers Visually

Lecture 11 | Semidefinite Programming (SDP) | Convex Optimization by Dr. Ahmad Bazzi

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Optimization Masterclass - Hands-on: How to Solve Convex Optimization Problems in CVXPY Ep6

Lagrange Multipliers | Geometric Meaning & Full Example

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Lecture 15 | Convex Optimization I (Stanford)

Lecture 5 | Linear Programming & SIMPLEX algorithm w MATLAB | Convex Optimization

