For a natural class of discretisations of a convex domain in $R^n$, we consider the dynamical optimal transport metric for probability measures on the discrete mesh. Although the associated discrete heat flow converges to the continuous heat flow, we show that the transport metric may fail to converge to the 2-Kantorovich metric. Under an additional symmetry condition on the mesh, we show that Gromov-Hausdorff convergence to the 2-Kantorovich metric holds. This is joint work with Peter Gladbach and Eva Kopfer.Non UBCUnreviewedAuthor affiliation: IST AustriaFacult
We develop a full theory for the new class of Optimal Entropy-Transport problems between nonnegative...
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We consider dynamical transport metrics for probability measures on discretisations of a bounded con...
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These notes constitute a sort of Crash Course in Optimal Transport Theory. The different features of...
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We develop a full theory for the new class of Optimal Entropy-Transport problems between nonnegative...
In this bachelor's thesis we define the notion of Hausdorff metric and Gromov-Hausdorff metric. We w...
We introduce the setting of extended metric–topological measure spaces as a general “Wiener like” f...
We consider dynamical transport metrics for probability measures on discretisations of a bounded con...
Using the finite volume method, one can define a discrete Kantorovich distance with a Riemannian str...
This paper continues the investigation of discrete transportation distances initiated in [13] and fu...
This paper deals with dynamical optimal transport metrics defined by spatial discretisation of the B...
The dynamical formulation of optimal transport, also known as Benamou–Brenier formulation or computa...
Lower Ricci curvature bounds play a crucial role in several deep geometric and functional inequaliti...
Lower Ricci curvature bounds play a crucial role in several deep geometric and functional inequaliti...
These notes constitute a sort of Crash Course in Optimal Transport Theory. The different features of...
DoctoralThese notes contains the material that I presented to the CEA-EDF-INRIA summer school about ...
We investigate fundamental properties of the proximal point algorithm for Lipschitz convex functions...
International audienceWe propose a technique for interpolating between probability distributions on ...
We introduce a new class of distances between nonnegative Radon measures on the euclidean space. The...
We develop a full theory for the new class of Optimal Entropy-Transport problems between nonnegative...
In this bachelor's thesis we define the notion of Hausdorff metric and Gromov-Hausdorff metric. We w...
We introduce the setting of extended metric–topological measure spaces as a general “Wiener like” f...