collaborators
Showing math.NAShow all

5 papers · 1 filter

math.NA2026

Fully discrete least-squares splitting scheme for the Monge-Ampère equation: finite element analysis and convergence

Anna Peruso

The least-squares splitting algorithm for the Monge-Ampère equation has been used successfully in computations for several years, but a convergence theory for fully discrete splitt…

math.NA2026

An adaptive Deep Ritz framework for second-order fully nonlinear partial differential equations

Alexandre Caboussat, Martin T. Leclercq, Anna Peruso

As an alternative to PINNs, a Deep Ritz framework is proposed to solve fully nonlinear PDEs. A least-squares algorithm is advocated to decouple the nonlinearities from the variatio…

math.NA2026

Convergence of a least-squares splitting method for the Monge-Ampère equation

Anna Peruso, Massimo Sorella

We study the theoretical convergence of the nonlinear least-squares splitting method for the Monge-Ampère equation in which each iteration decouples the pointwise nonlinearity from…

math.NA2025

Error estimates and adaptivity for a least-squares method applied to the Monge-Ampère equation

Alexandre Caboussat, Anna Peruso, Marco Picasso

We introduce novel a posteriori error indicators for a nonlinear least-squares solver for smooth solutions of the Monge--Ampère equation on convex polygonal domains in $\mathbb{R}^…

math.NA2025

Convex Physics Informed Neural Networks for the Monge-Ampère Optimal Transport Problem

Alexandre Caboussat, Anna Peruso

Optimal transportation of raw material from suppliers to customers is an issue arising in logistics that is addressed here with a continuous model relying on optimal transport theo…