Convex Optimization and Feasibility Problems Publication Trend. The graph below shows the total number of publications each year in Convex Optimization and Feasibility Problems.

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 ...

Course Description. This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; ...

TAMP is a GPU-accelerated TAMP framework that solves complex robotic planning tasks in seconds by evaluating thousands of ...

This course will provide a rigorous introduction to the rich field of convex analysis, particularly as it relates to mathematical optimization and duality theory. In addition to formal analytical ...

With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems and nonlinear constrained optimization. In addition, the book ...

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 ...