Forward Euler for Wasserstein Gradient Flows: Breakdown and Regularization

Yewei Xu, Qin Li

Wasserstein gradient flows have become a central tool for optimization problems over probability measures. A natural numerical approach is forward-Euler time discretization. We sho…