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: This article is devoted to the distributed convex optimization problem for a class of nonlinear multiagent systems under set constraints. The optimization objective function is composed of ...

Abstract: Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp.

It is known that the curvature of the feasible set in convex optimization allows for algorithms with better convergence rates, and there has been renewed interest in this topic both for offline as ...

├── index.html # Main landing page ├── css/ │ └── style.css # Responsive CSS styles ├── topics/ │ └── convexity.html # Understanding convexity page ├── images/ # Placeholder for future diagrams and ...

Two very different methods can be applied to optimization: the continuous and discrete methods. The continuous and non differentiable are half way between the two: the methods belong to the continuous ...

This repository contains the slides on the convex-concave procedure from EE 364a, together with example code. To see the animations in the PDF file, you need to select a viewer that supports ...