Lecture 7 | Quadratically Constrained Quadratic Programs | Convex Optimization by Dr. Ahmad Bazzi

Ahmad Bazzi
Ahmad Bazzi
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In Lecture 7 of this course on convex optimization, we will cover the essentials of Quadratically Constrained Quadratic Programs, i.e. QCQPs.The outline of the lecture is as follows:

00:00  Intro
00:33  What is a Quadratically Constrained Quadratic Program (QCQP) ?
05:16  QCQP Feasible Set
06:01  MATLAB Illustration of QCQP Feasible Set
13:39  QCQP Application 1: Minimizing a linear function over a centered ellipsoid
30:42  QCQP Application 2: Minimizing a linear function over an uncentered ellipsoid
37:16  QCQP Application 3: Minimizing a quadratic function over a centered ellipsoid
42:36  Outro

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Lecture 1 | Introduction to Convex Optimization: Lecture 1 | Convex Optimization | Int...  
Lecture 2 | Convex Sets: Lecture 2 | Convex Sets | Convex Opti...  
Lecture 3 | Convex Functions: Lecture 3 | Convex Functions | Convex...
Lecture 4 | Convex Optimization Principles : Lecture 4 | Convex Optimization Princ...  
Lecture 5 | Linear Programming & SIMPLEX algorithm w MATLAB: Lecture 5 | Linear Programming & SIMP...
Lecture 6 | Quadratic Programs: Lecture 6 | Quadratic Programs | Conv...
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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.
[4] Bazzi, Ahmad, Dirk TM Slock, and Lisa Meilhac. "Online angle of arrival estimation in the presence of mutual coupling." 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016.
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Instructor: Dr. Ahmad Bazzi
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Credits :
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5 سال پیش در تاریخ 1398/06/02 منتشر شده است.
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