arXiv:2405.18034 [math.NA]AbstractReferencesReviewsResources
Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations
Matej Benko, Iwona Chlebicka, Jørgen Endal, Błażej Miasojedow
Published 2024-05-28Version 1
We study the spatially homogeneous granular medium equation \[\partial_t\mu=\rm{div}(\mu\nabla V)+\rm{div}(\mu(\nabla W \ast \mu))+\Delta\mu\,,\] within a large and natural class of the confinement potentials $V$ and interaction potentials $W$. The considered problem do not need to assume that $\nabla V$ or $\nabla W$ 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.
Related articles: Most relevant | Search more
arXiv:2405.00539 [math.NA] (Published 2024-05-01)
Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds
arXiv:2001.07483 [math.NA] (Published 2020-01-21)
Convergence rates of the Semi-Discrete method for stochastic differential equations
arXiv:0803.3824 [math.NA] (Published 2008-03-27)
Convergence rates for adaptive finite elements