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This article introduces a generalization of the discrete optimal transport, with applications to color image manipulations. This new formulation includes a relaxation of the mass conservation constraint and a regularization term. These two…

Computer Vision and Pattern Recognition · Computer Science 2013-07-23 Sira Ferradans , Nicolas Papadakis , Gabriel Peyré , Jean-François Aujol

In this paper, we investigate optimal (partial) transport problems for which the target is a non-convex polygonal domain in \(\mathbb{R}^2\). For the complete optimal transport problem, we prove that the singular set is locally a smooth…

Analysis of PDEs · Mathematics 2026-05-19 Shibing Chen , Yuanyuan Li , Jiakun Liu

We investigate duality and existence of dual optimizers for several adapted optimal transport problems under minimal assumptions. This includes the causal and bicausal transport, the causal and bicausal barycenter problem, and a…

Probability · Mathematics 2024-11-20 Daniel Kršek , Gudmund Pammer

Kantorovich potentials denote the dual solutions of the renowned optimal transportation problem. Uniqueness of these solutions is relevant from both a theoretical and an algorithmic point of view, and has recently emerged as a necessary…

Optimization and Control · Mathematics 2024-12-12 Thomas Staudt , Shayan Hundrieser , Axel Munk

We present new results on optimization problems where the involved functions are evenly convex. By means of a generalized conjugation scheme and the perturbation theory introduced by Rockafellar, we propose an alternative dual problem for a…

Optimization and Control · Mathematics 2020-08-31 Maria Dolores Fajardo , Sorin-Mihai Grad , Jose Vidal

A convex duality result for martingale optimal transport problems with two marginals was established in Beiglb\"ock et al. (2013). In this paper we provide a generalization of this result to the multi-period setting.

Probability · Mathematics 2024-03-06 Julian Sester

In this work we derive a convex dual representation for increasing convex functionals on a space of real-valued Borel measurable functions defined on a countable product of metric spaces. Our main assumption is that the functionals fulfill…

Functional Analysis · Mathematics 2017-02-22 Daniel Bartl , Patrick Cheridito , Michael Kupper , Ludovic Tangpi

We consider the multidimensional Monge-Kantrovich transport problem in an abstract setting. Our main results state that if a cost function and marginal measures are invariant by a family of transformations, then a solution of the Kantrovich…

Analysis of PDEs · Mathematics 2015-04-22 Abbas Moameni

We present a new ansatz space for the general symmetric multi-marginal Kantorovich optimal transport problem on finite state spaces which reduces the number of unknowns from $\tbinom{N+\ell-1}{\ell-1}$ to $\ell\cdot(N+1)$, where $\ell$ is…

Analysis of PDEs · Mathematics 2018-01-03 G. Friesecke , D. Vögler

The use of distances based on optimal transportation has recently shown promise for discrimination of power spectra. In particular, spectral estimation methods based on l1 regularization as well as covariance based methods can be shown to…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Ali Sadeghian , Deoksu Lim , Johan Karlsson , Jian Li

A result of Hohloch links the theory of integer partitions with the Monge formulation of the optimal transport problem, giving the optimal transport map between (Young diagrams of) integer partitions and their corresponding symmetric…

Combinatorics · Mathematics 2023-10-17 Daniel Owusu Adu , Daniel Keliher

We study the consequences of the equivalence between the least gradient problem and a boundary-to-boundary optimal transport problem in two dimensions. We extend the relationship between the two problems to their respective dual problems,…

Analysis of PDEs · Mathematics 2021-02-12 Wojciech Górny

This paper studies the geometry of the optimizer for the optimal transport problem with capacity constraints. We introduce the concept of c-capacity monotonicity, which is a generalization of c-cyclical monotonicity in optimal transport. We…

Optimization and Control · Mathematics 2025-11-03 Dongwei Chen

We introduce a new non-linear optimal transport formulation for a pair of probability measures on $\mathbb{R}^d$ sharing a common barycentre, in which admissible transference plans satisfy two martingale-type constraints. This bi-martingale…

Probability · Mathematics 2025-11-03 Karol Bołbotowski

Solutions to Monge-Kantorovich equations, expressing optimality condition in mass transportation problem with cost equal to distance, are stationary points of a critical-slope model for sand surface evolution. Using a dual variational…

Optimization and Control · Mathematics 2007-05-23 Leonid Prigozhin

We describe a competetive equillibrium in a railway cargo transportation model. We reduce the problem of finding this equillibrium to the solution of to mutually dual convex optimization problems. According to L.V. Kantorvich we interpret…

Optimization and Control · Mathematics 2015-01-12 Alexander Shananin , Michael Vaschenko , Alexander Gasnikov , Evgeny Molchanov , Ludmila Pospelova

We study the Lagrangian formulation of a class of the Monge-Kantorovich optimal transportation problem. It can be considered a stochastic optimal transportation problem for absolutely continuous stochastic processes. A cost function and…

Optimization and Control · Mathematics 2023-01-02 Toshio Mikami , Haruka Yamamoto

We present generalized versions of Monge's and Kantorovich's optimal transport problems with the probabilities being transported replaced by lower probabilities. We show that, when the lower probabilities are the lower envelopes of…

Machine Learning · Statistics 2025-04-21 Michele Caprio

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…

Numerical Analysis · Mathematics 2019-12-10 Heiko Kröner

This work proposes an algorithm to bound the minimum distance between points on trajectories of a dynamical system and points on an unsafe set. Prior work on certifying safety of trajectories includes barrier and density methods, which do…

Optimization and Control · Mathematics 2023-06-16 Jared Miller , Mario Sznaier