A Proximal Primal-Dual Approach to Generalized JKO Schemes for Doubly Nonlinear Parabolic Equations
Numerical Analysis
2026-04-23 v1 Numerical Analysis
Abstract
Variational methods based on optimization strategies are proposed to numerically solve a large family of nonlinear partial differential equations. They are all particular instances of gradient flows with general costs, including the -Laplace equation and flux-limited equations such as the relativistic heat equation. This is achieved by computing explicit formulas for proximal operators with general costs amenable to efficient numerical approximation. We showcase our numerical approach via validation of the results by recovering the qualitative behavior of particular known cases of this large family of steepest descent evolutions.
Keywords
Cite
@article{arxiv.2604.19910,
title = {A Proximal Primal-Dual Approach to Generalized JKO Schemes for Doubly Nonlinear Parabolic Equations},
author = {Luis M. Briceño-Arias and José A. Carrillo and Dante Kalise and Francisco J. Silva and Li Wang},
journal= {arXiv preprint arXiv:2604.19910},
year = {2026}
}