The lecture slides are adopted from Dr. Stephen Boyd's letcture notes on Convex Optimization at Standord University. Thank Dr. Boyd for his kind help and support. If you qualify for accommodations ...

The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...

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 ...

linear programming problems and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and ...

reported a new quantum process tomography method which is based on convex optimization. They demonstrated that this new method is able to minimize the errors between the process matrix and the ...