Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...
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 ...
This repository provides a Python implementation of the gradient projected conjugate gradient algorithm (GPCG) presented in [1] for solving bound-constrained quadratic programs of the form ...
In this article, we study numerically a Helmholtz decomposition methodology, based on a formulation of the mathematical model as a saddle-point problem. We use a preconditioned conjugate gradient ...
Abstract: The conjugate-gradient method (CGM) is a traditional approach to solve the inverse scattering problem (ISP). This method requires the solution of both the forward problem and the calculation ...
The nonlinear conjugate gradient (CG) method is a good alternative to the L-BFGS optimizer. Features of nonlinear CG: I already have a working implementation of Hager and Zhang's nonlinear CG as a ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results