Abstract: Modeling the relationships that may connect optimal parameter vectors is essential for the performance of parameter estimation methods in distributed networks. In this paper, we consider a ...
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, ...
Abstract: Multigrid preconditioned conjugate gradient (MGPCG) is commonly used in high-performance computing (HPC) workloads. However, MGPCG is notoriously challenging to optimize since most of its ...
Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...
Gradient, a startup that allows developers to build and customize AI apps in the cloud using large language models (LLMs), today emerged from stealth with $10 million in funding led by Wing VC with ...
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and ...
1 Division of Science, School of Science and Engineering, Tokyo Denki University, Saitama, Japan. 2 Department of Physics and Mathematics, College of Science and Engineering, Aoyama Gakuin University, ...
A class of finite step iterative methods, conjugate gradients, for the solution of an operator equation, is presented on this paper to solve electromagnetic scattering. The method of generalized ...