3 papers
cs.LG2025
Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method
Samuel A. Cruz Alegría, Ken Trotti, Alena Kopaničáková +1
Parallel training methods are increasingly relevant in machine learning (ML) due to the continuing growth in model and dataset sizes. We propose a variant of the Additively Precond…
math.NA2024
A note on the convergence of multigrid methods for the Riesz-space equation and an application to image deblurring
Danyal Ahmad, Marco Donatelli, Mariarosa Mazza +2
In the past decades, a remarkable amount of research has been carried out regarding fast solvers for large linear systems resulting from various discretizations of fractional diffe…
math.NA2023
A domain splitting strategy for solving PDEs
Ken Trotti
In this work we develop a novel domain splitting strategy for the solution of partial differential equations. Focusing on a uniform discretization of the -dimensional advection-…