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.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace