works on
gmres 1machine learning 1newton's method 1parameterized pdes 1reduced-order modeling 1surrogate modeling 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Learning features from Newton's algorithm: a way to accelerate nonlinear parametrized PDE solvers

Rémy Vallot, Florian de Vuyst, Thibault Dairay +1

The paper introduces a two‑stage method that learns features from precomputed Newton trajectories to predict a surrogate solution and then apply a cheap corrective step, providing…