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We study the entropic regularization of the optimal transport problem in dimension 1 when the cost function is the distance c(x, y) = |y -- x|. The selected plan at the limit is, among those which are optimal for the non-penalized problem,…

最优化与控制 · 数学 2019-04-22 Simone Di Marino , Jean Louet

This paper is devoted to variational problems on the set of probability measures which involve optimal transport between unequal dimensional spaces. In particular, we study the minimization of a functional consisting of the sum of a term…

偏微分方程分析 · 数学 2019-11-18 Luca Nenna , Brendan Pass

We study solutions to the multi-marginal Monge-Kantorovich problem which are concentrated on several graphs over the first marginal. We first present two general conditions on the cost function which ensure, respectively, that any solution…

最优化与控制 · 数学 2015-07-22 Abbas Moameni , Brendan Pass

The Monge-Amp\`{e}re equation arises in the theory of optimal transport. When more complicated cost functions are involved in the optimal transportation problem, which are motivated e.g. from economics, the corresponding equation for the…

数值分析 · 数学 2019-12-10 Heiko Kröner

We consider the problem to transport resources/mass while abiding by constraints on the flow through constrictions along their path between specified terminal distributions. Constrictions, conceptualized as toll stations at specified…

系统与控制 · 电气工程与系统科学 2023-05-03 Anqi Dong , Arthur Stephanovitch , Tryphon T. Georgiou

We present a primal-dual dynamical formulation of the multi-marginal optimal transport problem for (semi-)convex cost functions. Even in the two-marginal setting, this formulation applies to cost functions not covered by the classical…

最优化与控制 · 数学 2025-10-14 Brendan Pass , Yair Shenfeld

We focus on Optimal Transport PDE on the unit sphere $\mathbb{S}^2$ with a particular type of cost function $c(x,y) = F(x \cdot y, x \cdot \hat{e}, y \cdot \hat{e})$ which we call cost functions with preferential direction, where $\hat{e}…

偏微分方程分析 · 数学 2024-07-11 Axel G. R. Turnquist

Optimal transport from the volume measure to a convex combination of Dirac measures yields a tessellation of a Riemannian manifold into pieces of arbitrary relative size. This tessellation is studied for the cost functions…

概率论 · 数学 2012-10-08 Martin Huesmann

We address the Monge problem in metric spaces with a geodesic distance: (X, d) is a Polish space and dN is a geodesic Borel distance which makes (X,dN) a possibly branching geodesic space. We show that under some assumptions on the…

概率论 · 数学 2012-10-01 Fabio Cavalletti

Over the past five years, multi-marginal optimal transport, a generalization of the well known optimal transport problem of Monge and Kantorovich, has begun to attract considerable attention, due in part to a wide variety of emerging…

偏微分方程分析 · 数学 2014-09-12 Brendan Pass

We study optimal mass transport problems between two measures with respect to a non-traditional cost function, i.e. a cost $c$ which can attain the value $+\infty$. We define the notion of $c$-compatibility and strong-$c$-compatibility of…

度量几何 · 数学 2021-07-09 Shiri Artstein-Avidan , Shay Sadovsky , Katarzyna Wyczesany

We prove the Duality Theorems for the stochastic optimal transportation problems with a convex cost function without a regularity assumption that is often supposed in the proof of the lower semicontinuity of an action integral. In our new…

概率论 · 数学 2021-01-18 Toshio Mikami

Recent advances in large-scale optimal transport have greatly extended its application scenarios in machine learning. However, existing methods either not explicitly learn the transport map or do not support general cost function. In this…

计算机视觉与模式识别 · 计算机科学 2020-03-17 Guansong Lu , Zhiming Zhou , Jian Shen , Cheng Chen , Weinan Zhang , Yong Yu

We prove a geometric linearisation result for minimisers of optimal transport problems where the cost-function is strongly p-convex and of p-growth. Initial and target measures are allowed to be rough, but are assumed to be close to…

偏微分方程分析 · 数学 2024-04-08 Lukas Koch

We approach the problem of constructing a quantum analogue of the immensely fruitful classical transport cost theory of Monge from a new angle. Going back to the original motivations, by which the transport is a bilinear function of a mass…

量子物理 · 物理学 2025-04-08 Matt Hoogsteder-Riera , John Calsamiglia , Andreas Winter

Motivated by applications to geometric inequalities, Gozlan, Roberto, Samson, and Tetali introduced a transport problem for `weak' cost functionals. Basic results of optimal transport theory can be extended to this setup in remarkable…

概率论 · 数学 2020-03-12 Julio Daniel Backhoff-Veraguas , Gudmund Pammer

We study the Monge and Kantorovich transportation problems on $\mathbb{R}^{\infty}$ within the class of exchangeable measures. With the help of the de Finetti decomposition theorem the problem is reduced to an unconstrained optimal…

概率论 · 数学 2015-12-01 Alexander V. Kolesnikov , Danila A. Zaev

We investigate existence of dual optimizers in one-dimensional martingale optimal transport problems. While [BNT16] established such existence for weak (quasi-sure) duality, [BHP13] showed existence for the natural stronger pointwise…

概率论 · 数学 2017-05-12 Mathias Beiglboeck , Tongseok Lim , Jan Obłój

We discuss the Monge problem of mass transportation in the framework of stochastic thermodynamics and revisit the problem of the Landauer limit for finite-time thermodynamics, a problem that got the interest of Krzysztof Gawedzki in the…

统计力学 · 物理学 2022-09-16 Jean-Pierre Eckmann , Carlos Mejia-Monasterio

Optimal transport has recently started to be successfully employed to define misfit or loss functions in inverse problems. However, it is a problem intrinsically defined for positive (probability) measures and therefore strategies are…

最优化与控制 · 数学 2024-12-20 Gabriele Todeschi , Ludovic Métivier , Jean-Marie Mirebeau