The Back-And-Forth Method For Wasserstein Gradient Flows

Wonjun Lee (University of Minnesota, Twin Cities) presents a method to efficiently compute Wasserstein gradient flows. Their approach is based on a generalization of the back-and-forth method (BFM) introduced by Jacobs and Leger to solve optimal transport problems.

 

View the IMA event page for more information

Start date
Tuesday, Sept. 13, 2022, 1:25 p.m.
Location

Walter Library 402. Registration is required to access the Zoom webinar.

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