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Lecture
Convex Optimization: Theory and Applications
Description
This lecture covers the theory and applications of convex optimization. Topics include the convexity of the log-determinant function, convexity-preserving transformations, affine transformations, examples of convex functions, Schur's Lemma, distance function convexity, perspective function, relative entropy, and convexity with generalized inequalities.
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