scholarly journals {Euclidean, metric, and Wasserstein} gradient flows: an overview

2017 ◽  
Vol 7 (1) ◽  
pp. 87-154 ◽  
Author(s):  
Filippo Santambrogio
2013 ◽  
Vol 19 (4) ◽  
pp. 1166-1188 ◽  
Author(s):  
Manh Hong Duong ◽  
Vaios Laschos ◽  
Michiel Renger

2021 ◽  
Vol 27 ◽  
pp. 28
Author(s):  
Matt Jacobs ◽  
Wonjun Lee ◽  
Flavien Léger

We present a method to efficiently compute Wasserstein gradient flows. Our approach is based on a generalization of the back-and-forth method (BFM) introduced in Jacobs and Léger [Numer. Math. 146 (2020) 513–544.]. to solve optimal transport problems. We evolve the gradient flow by solving the dual problem to the JKO scheme. In general, the dual problem is much better behaved than the primal problem. This allows us to efficiently run large scale gradient flows simulations for a large class of internal energies including singular and non-convex energies.


2020 ◽  
Vol 146 (3) ◽  
pp. 437-480
Author(s):  
Clément Cancès ◽  
Thomas O. Gallouët ◽  
Gabriele Todeschi

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