By implementing automated gas-lift systems, AI-powered pump response prioritization, and real-time process modeling, ...

Abstract: Complex matrix derivatives play an important role in matrix optimization, since they form a theoretical basis for the Karush-Kuhn-Tucker (KKT) conditions associated with matrix variables. We ...

This project explores Bayesian Optimization as an alternative to traditional gradient-based and gradient-free methods for finding the global minimum of a function. The research is motivated by the ...

Abstract: In this work, we present the innovative Concrete Feedback Layers, designed to enable genuine bit-level, end-to-end Channel State Information (CSI) feedback using deep learning techniques.

hDepartment of Pediatrics, The Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China iEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, ...

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., ...