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math.NA2026

Neural Network Preconditioning: A Case Study for the Solution of the Parametric Helmholtz Equation

Luc Giraud, Carola Kruse, Paul Mycek +2

This work presents a hybrid numerical approach for solving linear systems arising from the discretization of the two-dimensional parametric Helmholtz equation. A convolutional neur…

math.NA2026

A Fully Discrete Nonnegativity-Preserving FEM for a Stochastic Heat Equation

Owen Hearder, Claude Le Bris, Ana Djurdjevac

We consider a stochastic heat equation with nonlinear finite-rank space-coloured multiplicative noise that admits a unique nonnegative solution when given nonnegative initial data.…

math.NA2024★ 5 cited

Finite Element Neural Network Interpolation. Part I: Interpretable and Adaptive Discretization for Solving PDEs

Kateřina Škardová, Alexandre Daby-Seesaram, Martin Genet

We present the Finite Element Neural Network Interpolation (FENNI) framework, a sparse neural network architecture extending previous work on Embedded Finite Element Neural Network…

math.NA2024

A generalized spectral concentration problem and the varying masks algorithm

Erwan Faou, Yoann Le Henaff

In this paper we generalize the spectral concentration problem as formulated by Slepian, Pollak and Landau in the 1960s. We show that a generalized version with arbitrary space and…

math.NA2024★ 6 cited

Structure-preserving approximations of the Serre-Green-Naghdi equations in standard and hyperbolic form

Hendrik Ranocha, Mario Ricchiuto

We develop structure-preserving numerical methods for the Serre-Green-Naghdi equations, a model for weakly dispersive free-surface waves. We consider both the classical form, requi…

math.NA2024

Low-rank plus diagonal approximations for Riccati-like matrix differential equations

Silvère Bonnabel, Marc Lambert, Francis Bach

We consider the problem of computing tractable approximations of time-dependent d x d large positive semi-definite (PSD) matrices defined as solutions of a matrix differential equa…