This repository provides implementations of various matrix completion algorithms based on convex optimization. Convex optimization is particularly useful in this context because it offers theoretical ...

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 ...

Abstract: In ground-penetrating radar, enhancing the radiation capability of the antenna and the underground energy level is of paramount significance for optimizing the detection performance of the ...

Abstract: To achieve the phase-only polarization pattern synthesis, this letter applies iterative convex optimization to address the nonconvex constant modulus constraint. By maximizing an objective ...

This code comes jointly with the following reference. [1] Taylor, Adrien B., Julien M. Hendrickx, and François Glineur. "Performance Estimation Toolbox (PESTO): automated worst-case analysis of ...

HOUSTON – (Feb. 9, 2022) – Rice University computer scientist Anastasios Kyrillidis has won a National Science Foundation CAREER Award to explore the theory and design of non-convex optimization ...

The course will take an in-depth look at the main concepts and algorithms in convex optimization. The goal is to develop expert knowledge in duality and in the design and analysis of algorithms for ...