crossrefMachine Learning: Science and Technology2026-06-01
Convolutional neural network-driven preconditioners for conjugate gradients
Johannes Sappl, Viktor Daropoulos, Wolfgang Rauch, Matthias Harders
Abstract We present a data-driven approach for preconditioning large sparse symmetric positive definite linear systems using convolutional neural networks tailored for sparse tensor inputs. Our work targets system matrices arising from the discretization of partial differential e…