Abstract: The paper focuses on convex optimization problems, assuming that the cost and constraint functions are not analytically known, and only the values of the associated Lagrangian are available.

This repository contains the code to reproduce the examples in the paper Motion Planning around Obstacles with Convex Optimization by Tobia Marcucci, Mark Petersen, David von Wrangel, and Russ Tedrake ...

Abstract: We consider a distributed personalized optimization problem over a network of nodes whose cost functions depend on a decision variable consisting of two parts: global (shared) part and local ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Vikki Velasquez is a researcher and writer ...

Innovative use of Benford's law to identify significant features in data flows, evaluating compliance with expected numerical patterns through distance functions. Pedro Fernandes - Department of ...