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A Numerical Method to solve Optimal Transport Problems with Coulomb Cost

Abstract : In this paper, we present a numerical method, based on iterative Bregman projections, to solve the optimal transport problem with Coulomb cost. This is related to the strong interaction limit of Density Functional Theory. The first idea is to introduce an entropic regularization of the Kantorovich formulation of the Optimal Transport problem. The regularized problem then corresponds to the projection of a vector on the intersection of the constraints with respect to the Kullback-Leibler distance. Iterative Bregman projections on each marginal constraint are explicit which enables us to approximate the optimal transport plan. We validate the numerical method against analytical test cases.
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Contributor : Jean-David Benamou Connect in order to contact the contributor
Submitted on : Friday, May 8, 2015 - 7:14:50 AM
Last modification on : Tuesday, October 25, 2022 - 10:46:44 AM
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  • HAL Id : hal-01148954, version 2



Jean-David Benamou, Guillaume Carlier, Luca Nenna. A Numerical Method to solve Optimal Transport Problems with Coulomb Cost. Splitting Methods in Communication, Imaging, Science, and Engineering, 2016. ⟨hal-01148954v2⟩



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