Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations
Numerical Analysis
2025-12-01 v2 Numerical Analysis
Computation
Abstract
We study the spatially homogeneous granular medium equation within a large and natural class of the confinement potentials and interaction potentials . The considered problem do not need to assume that or are globally Lipschitz. With the aim of providing particle approximation of solutions, we design efficient forward-backward splitting algorithms. Sharp convergence rates in terms of the Wasserstein distance are provided.
Keywords
Cite
@article{arxiv.2405.18034,
title = {Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations},
author = {Matej Benko and Iwona Chlebicka and Jørgen Endal and Błażej Miasojedow},
journal= {arXiv preprint arXiv:2405.18034},
year = {2025}
}