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. FBI releases new details on suspect in Nancy Guthrie ...

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 ...

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 ...

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 ...

This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...

In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three ...

Initial release. Added support for Linear Conjugate Gradient (LCG), Basic Nonlinear Conjugate Gradient (i.e. FR, PRP, HS, CD, DY, LS, HZ, HS-DY) methods and two Line Search methods (i.e. Armijo and ...

mdbenito changed the title Replace conjugate gradient in direct python by JAX version Replace conjugate gradient in pure python May 27, 2022 mdbenito changed the title Replace conjugate gradient in ...