Convex Functions (Jan 30, Feb 1 & 6) Lecture Notes Reading: Boyd and Vandenberghe, Chapter 3. Convex Optimization Problems (Feb 6, 8, 13 & 15) Lecture Notes Reading: Boyd and Vandenberghe, Chapter 4.

o Convex Optimization Algorithms, Dimitri P. Bertsekas, ISBN: 978-1886529281; BACK TO TOP. Northwestern Seal. Industrial Engineering and Management Sciences McCormick School of Engineering, ...

We complement our theoretical results with an empirical evaluation of the non-convex case, in which we use an integer program solver as our optimization oracle. We find that for the problem of ...

Researchers from SJTU have developed a convex-optimization-based quantum process tomography method for reconstructing quantum channels, and have shown the validity to seawater channels and general ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...