Abstract: In this article, a special class of distributed stochastic nonconvex optimization problem is investigated. Each agent in the network only has access to a local stochastic weakly convex ...

MEMPHIS, Tenn. - Following an announcement from Tennessee Governor Bill Lee that members of the Tennessee National Guard, along with 13 federal agencies, will begin operations in Memphis next week, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

AUSTIN -- MLS Commissioner Don Garber offered the public a rare bit of data regarding viewership of live matches under its media deal with Apple, stating that its Season Pass streams are “averaging ...

Sanuj is a tech enthusiast with a passion for exploring smartphones, tablets, and smart wearables. He started his tech journey with a Lumia smartphone, diving into Windows Phone. Later, he switched to ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Thank you for your open-source code. I've been trying to reproduce the HJB Optimizer optimization part according to Algorithm 2 in the paper. After the EDM denoiser predicts the clean noise, I decode ...

ENFORCpp is a C++ tool that allows you to solve nonlinear constrained optimization problems. The tool is designed with real-time considerations and is suitable for online trajectory and control input ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

Aligning large language models (LLMs) with human preferences is an essential task in artificial intelligence research. However, current reinforcement learning (RL) methods face notable challenges.