The back-and-forth method for Wasserstein gradient flows
The back-and-forth method for Wasserstein gradient flows
复制标题
Wasserstein 梯度流的来回方法
DOI:
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
F. L'eger
中科院分区:
文献类型:
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作者:
M. Jacobs;Wonjun Lee;F. L'eger
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.
DOI:
10.2422/2036-2145.202010_013
发表时间:
2022
期刊:
ANNALI SCUOLA NORMALE SUPERIORE - CLASSE DI SCIENZE
影响因子:
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作者:
Jacobs, Matt;Kim, Inwon Christina;Tong, Jiajun
通讯作者:
Tong, Jiajun