Essential settings and system tweaks that instantly boost gaming performance and FPS, empowering gamers with pro-level optimization for smooth ... heavily sacrificing visual quality. Avoiding Variable ...

Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...

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., ...