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Many problems in dynamic data driven modeling deals with distributed rather than lumped observations. In this paper, we show that the Monge-Kantorovich optimal transport theory provides a unifying framework to tackle such problems in the…

系统与控制 · 计算机科学 2014-02-10 Abhishek Halder , Raktim Bhattacharya

This paper focuses on martingale optimal transport problems when the martingales are assumed to have bounded quadratic variation. First, we give a result that characterizes the existence of a probability measure satisfying some convex…

概率论 · 数学 2020-03-18 Erhan Bayraktar , Xin Zhang , Zhou Zhou

Let $M,N$ be two smooth compact hypersurfaces of $\mathbb{R}^n$ which bound strictly convex domains equipped with two absolutely continuous measures $\mu$ and $\nu$ (with respect to the volume measures of $M$ and $N$). We consider the…

微分几何 · 数学 2015-07-10 Emmanuel Humbert , Luc Molinet

We consider the following variant of the Monge-Kantorovich transportation problem. Let S be a finite set of point sites in d dimensions. A bounded set C in d-dimensional space is to be distributed among the sites p in S such that (i) each p…

度量几何 · 数学 2015-02-18 Darius Geiß , Rolf Klein , Rainer Penninger , Günter Rote

This note establishes that a generalization of $c$-cyclical monotonicity from the Monge-Kantorovich problem with two marginals gives rise to a sufficient condition for optimality also in the multi-marginal version of that problem. To obtain…

最优化与控制 · 数学 2016-01-22 Claus Griessler

We consider a Kantorovich potential associated to an optimal transportation problem between measures that are not necessarily absolutely continuous with respect to the Lebesgue measure, but are comparable to the Lebesgue measure when…

偏微分方程分析 · 数学 2023-08-22 Pierre-Emmanuel Jabin , Antoine Mellet

We establish quantitative global stability estimates, formulated in terms of optimal transport (OT) cost, for inverse point-source problems governed by elliptic and parabolic equations with spatially varying coefficients. The key idea is…

数值分析 · 数学 2025-12-29 Lingyun Qiu , Shenwen Yu

Tools from optimal transport (OT) theory have recently been used to define a notion of quantile function for directional data. In practice, regularization is mandatory for applications that require out-of-sample estimates. To this end, we…

统计方法学 · 统计学 2026-02-06 Bernard Bercu , Jérémie Bigot , Gauthier Thurin

We study a multi-marginal optimal transportation problem with a cost function of the form $c(x_{1}, \ldots,x_{m})=\sum_{k=1}^{m-1}|x_{k}-x_{k+1}|^{2} + |x_{m}- F(x_{1})|^{2}$, where $F: \mathbb{R}^n \rightarrow \mathbb{R}^n$. When $m=4$,…

最优化与控制 · 数学 2020-01-13 Brendan Pass , Adolfo Vargas-Jiménez

We solve a generalized Kyle model type problem using Monge-Kantorovich duality and backward stochastic partial differential equations. First, we show that the the generalized Kyle model with dynamic information can be recast into a terminal…

概率论 · 数学 2022-11-01 Reda Chhaibi , Ibrahim Ekren , Eunjung Noh , Lu Vy

There are well-established connections between combinatorial optimization, optimal transport theory and Hydrodynamics, through the linear assignment problem in combinatorics, the Monge-Kantorovich problem in optimal transport theory and the…

偏微分方程分析 · 数学 2014-10-02 Yann Brenier

This note exposes the differential topology and geometry underlying some of the basic phenomena of optimal transportation. It surveys basic questions concerning Monge maps and Kantorovich measures: existence and regularity of the former,…

最优化与控制 · 数学 2018-01-23 Robert J McCann

In the Monge-Kantorovich transport problem, the transport cost is expressed in terms of transport maps or transport plans, which play crucial roles there. A variant of the Monge-Kantorovich problem is the ramified (branching) transport…

偏微分方程分析 · 数学 2023-10-09 Qinglan Xia , Haotian Sun

We prove that if $\Omega\subset \mathbb{R}^{n+1}$ is a (not necessarily strictly) convex, $C^1$ domain, and $\mu$ and $\bar{\mu}$ are probability measures absolutely continuous with respect to surface measure on $\partial \Omega$, with…

偏微分方程分析 · 数学 2025-03-11 Seonghyeon Jeong , Jun Kitagawa

The duality theory of the Monge--Kantorovich transport problem is analyzed in a general setting. The spaces $X, Y$ are assumed to be polish and equipped with Borel probability measures $\mu$ and $\nu$. The transport cost function $c:X\times…

最优化与控制 · 数学 2010-09-07 Mathias Beiglboeck , Christian Leonard , Walter Schachermayer

We consider the Monge-Kantorovich optimal transportation problem between two measures, one of which is a weighted sum of Diracs. This problem is traditionally solved using expensive geometric methods. It can also be reformulated as an…

数值分析 · 数学 2014-08-05 Jean-David Benamou , Brittany D. Froese

We prove existence of equal area partitions of the unit sphere via optimal transport methods, accompanied by diameter bounds written in terms of Monge--Kantorovich distances. This can be used to obtain bounds on the expectation of the…

最优化与控制 · 数学 2025-02-21 Jun Kitagawa , Asuka Takatsu

We study the most common image and informal description of the optimal transport problem for quadratic cost, also known as the second boundary value problem for the Monge--Amp\`{e}re equation -- What is the most efficient way to fill a hole…

偏微分方程分析 · 数学 2022-07-12 Yash Jhaveri , Ovidiu Savin

We consider optimal transport problems where the cost is optimized over controlled dynamics and the end time is free. Unlike the classical setting, the search for optimal transport plans also requires the identification of optimal "stopping…

最优化与控制 · 数学 2018-07-09 Nassif Ghoussoub , Young-Heon Kim , Aaron Zeff Palmer

These notes constitute a sort of Crash Course in Optimal Transport Theory. The different features of the problem of Monge-Kantorovitch are treated, starting from convex duality issues. The main properties of space of probability measures…

经典分析与常微分方程 · 数学 2010-09-21 Filippo Santambrogio