Convex Optimization: Theory and Applications

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.