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Convex Functions in Optimization by ellesh is a document available to read on EtoBox.

1. The document provides exercises on convex optimization including: showing functions are convex using properties; determining if commonly used neural network objective functions are convex or not; properties of convex and log-convex functions. 2. It also covers visualizing the Legendre-Frenchel conjugate of convex functions; differences between quasiconvex versus convex functions; and proving the gamma function is log-convex using Holder

Author
ellesh
Language
EN