In this paper, we study the characterization of geodesics for a class of distances between probability measures introduced by Dolbeault, Nazaret and Savar e. We first prove the existence of a potential function and then give necessary and suffi cient optimality conditions that take the form of a coupled system of PDEs somehow similar to the Mean-Field-Games system of Lasry and Lions. We also consider an equivalent formulation posed in a set of probability measures over curves.ou
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
The geometric approach to optimal transport and information theory has triggered the interpretation ...
We consider the space of probability measures on a discrete set X, endowed with a dynamical optimal ...
We endow the set of probability measures on a weighted graph with a Monge–Kantorovich metric induced...
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
In this article, we study the geodesic problem in a generalized metric space, in which the ...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
We associate certain probability measures on R to geodesics in the space HL of positively curved met...
Kullback-Leibler information allow us to characterize a family of dis- tributions denominated Kullba...
AbstractBurbea and Rao [1] gave some general methods for constructing quadratic differential metrics...
We discuss a new notion of distance on the space of finite and nonnegative measures which we call th...
We discuss a new notion of distance on the space of finite and nonnegative measures on $\Omega \subs...
Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact mani...
By studying general geometric properties of cone spaces, we prove the existence of a distance on the...
International audienceThis paper defines a new transport metric over the space of non-negative measu...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
The geometric approach to optimal transport and information theory has triggered the interpretation ...
We consider the space of probability measures on a discrete set X, endowed with a dynamical optimal ...
We endow the set of probability measures on a weighted graph with a Monge–Kantorovich metric induced...
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
In this article, we study the geodesic problem in a generalized metric space, in which the ...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
We associate certain probability measures on R to geodesics in the space HL of positively curved met...
Kullback-Leibler information allow us to characterize a family of dis- tributions denominated Kullba...
AbstractBurbea and Rao [1] gave some general methods for constructing quadratic differential metrics...
We discuss a new notion of distance on the space of finite and nonnegative measures which we call th...
We discuss a new notion of distance on the space of finite and nonnegative measures on $\Omega \subs...
Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact mani...
By studying general geometric properties of cone spaces, we prove the existence of a distance on the...
International audienceThis paper defines a new transport metric over the space of non-negative measu...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
The geometric approach to optimal transport and information theory has triggered the interpretation ...
We consider the space of probability measures on a discrete set X, endowed with a dynamical optimal ...