activity
20192026
most citedFisher information regularization schemes for Wasserstein gradient flows

52 citations · 103 across the 12 of their papers we have counts for

collaborators

14 papers

math.NA2026

A Proximal Primal-Dual Approach to Generalized JKO Schemes for Doubly Nonlinear Parabolic Equations

Luis M. Briceño-Arias, José A. Carrillo, Dante Kalise +2

Variational methods based on optimization strategies are proposed to numerically solve a large family of nonlinear partial differential equations. They are all particular instances…

math.NA2025

Perturbation Function Iteration Method: A New Framework for Solving Periodic Solutions of Non-linear and Non-smooth Systems

Limin Cao, Yanmao Chen, Li Wang +2

Computing accurate periodic responses in strongly nonlinear or even non-smooth vibration systems remains a fundamental challenge in nonlinear dynamics. Existing numerical methods,…

math.AP2025

The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data

Alina Chertock, Pierre Degond, Amir Sagiv +1

We consider one-dimensional hyperbolic PDEs, linear and nonlinear, with random initial data. Our focus is the {\em pointwise statistics,} i.e., the probability measure of the solut…

math.NA2024

To blow-up or not to blow-up for a granular kinetic equation

José A. Carrillo, Ruiwen Shu, Li Wang +1

A simplified kinetic description of rapid granular media leads to a nonlocal Vlasov-type equation with a convolution integral operator that is of the same form as the continuity eq…

math.NA2023★ 16 cited

Structure preserving primal dual methods for gradient flows with nonlinear mobility transport distances

Jose A. Carrillo, Li Wang, Chaozhen Wei

We develop structure preserving schemes for a class of nonlinear mobility continuity equation. When the mobility is a concave function, this equation admits a form of gradient flow…

cs.LG2022★ 2 cited

Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations

Wuzhe Xu, Yulong Lu, Li Wang

Deep operator network (DeepONet) has demonstrated great success in various learning tasks, including learning solution operators of partial differential equations. In particular, i…