activity
20152019
most citedA discrete Schrodinger equation via optimal transport on graphs

18 citations · 53 across the 7 of their papers we have counts for

collaborators

7 papers

math.DS2019

Wasserstein Hamiltonian flows

Shui-Nee Chow, Wuchen Li, Haomin Zhou

We establish kinetic Hamiltonian flows in density space embedded with the -Wasserstein metric tensor. We derive the Euler-Lagrange equation in density space, which introduces…

math.DS2017★ 18 cited

A discrete Schrodinger equation via optimal transport on graphs

Shui-Nee Chow, Wuchen Li, Haomin Zhou

In 1966, Edward Nelson presented an interesting derivation of the Schrodinger equation using Brownian motion. Recently, this derivation is linked to the theory of optimal transport…

math.OC2017★ 18 cited

Population games and Discrete optimal transport

Shui-Nee Chow, Wuchen Li, Jun Lu +1

We propose a new evolutionary dynamics for population games with a discrete strategy set, inspired by the theory of optimal transport and Mean field games. The dynamics can be desc…

math.OC2017★ 4 cited

Equilibrium selection via Optimal transport

Shui-Nee Chow, Wuchen Li, Jun Lu +1

We propose a new dynamics for equilibrium selection of finite player discrete strategy games. The dynamics is motivated by optimal transportation, and models individual players' my…

math.DS2017★ 4 cited

Entropy dissipation of Fokker-Planck equations on graphs

Shui-Nee Chow, Wuchen Li, Haomin Zhou

We study the nonlinear Fokker-Planck equation on graphs, which is the gradient flow in the space of probability measures supported on the nodes with respect to the discrete Wassers…

math.NA2016★ 7 cited

Entropy dissipation semi-discretization schemes for Fokker-Planck equations

Shui-Nee Chow, Luca Dieci, Wuchen Li +1

We propose a new semi-discretization scheme to approximate nonlinear Fokker-Planck equations, by exploiting the gradient flow structures with respect to the 2-Wasserstein metric. W…

cs.SI2015★ 2 cited

Influence Prediction for Continuous-Time Information Propagation on Networks

Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha +1

We consider the problem of predicting the time evolution of influence, the expected number of activated nodes, given a set of initially active nodes on a propagation network. To ad…