More information: Xiaomeng Sui et al, Non-convex optimization for inverse problem solving in computer-generated holography, Light: Science & Applications (2024).

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

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

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 this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...

Robert V. Namm ᵃ, Gyungsoo Woo ᵇ, Sensitivity Functionals in Convex Optimization Problem, Filomat, Vol. 30, No. 14 (2016), pp. 3681-3687 ...

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 ...