Need something brilliant to read this weekend? Here is part two of our favourites from 2025 John and James Harris. Photograph: Pal Hansen/The Guardian The year ended with another bout of Beatlemania ...

In this study, we focus on investigating a nonsmooth convex optimization problem involving the l 1-norm under a non-negative constraint, with the goal of developing an inverse-problem solver for image ...

1 The School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, China 2 The School of Intelligent Manufacturing, Chongqing Industry and Trade Polytechnic, Chongqing, ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient ...

Abstract: This paper presents an innovative algorithm that combines mini-batch gradient descent with adaptive techniques to enhance the accuracy and efficiency of localization in complex environments.

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.

ABSTRACT: As the rapid development of internet and the booming of financial market in China, the study of extracting the emotional state of netizens from financial public opinions and using it for ...