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Optimal transportation with constant constraint

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TLDR
In this paper, the authors consider optimal transportation with constraint, as did Korman and McCann (2013), and provide simplifications and generalizations of their examples and results, and provide some new examples.
Abstract
We consider optimal transportation with constraint, as did Korman and McCann (2013, 2015), provide simplifications and generalizations of their examples and results, and provide some new examples and results.

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Задача Канторовича оптимальной транспортировки мер: новые направления исследований

TL;DR: In this article , the authors proposed a method to improve the quality of the data collected by the system by using the information from the users' own data points of interest (e.g., the data points from the user's phone, the phone number, etc.).
References
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Book

Functional analysis

Walter Rudin
Book

Optimal Transport: Old and New

TL;DR: In this paper, the authors provide a detailed description of the basic properties of optimal transport, including cyclical monotonicity and Kantorovich duality, and three examples of coupling techniques.
Journal ArticleDOI

On the Translocation of Masses

TL;DR: In this paper, Kantorovich and Akad defined a translocation of masses as a function Ψ(e, e′) defined for pairs of (B)-sets e, e − ∈ R such that: (1) it is nonnegative and absolutely additive with respect to each of its arguments, (2) Φ (e, R) = Φ(e), Ψ (R, e−∆), Ω(R, E − ∆), e− ∆ = Π(e−∀ −∆ −
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Prekopa-Leindler type inequalities on Riemannian manifolds, Jacobi fields, and optimal transport

TL;DR: In this paper, the authors investigated Prekopa-Leindler type inequalities on a Riemannian manifold M equipped with a measure with density e V where the potential V and the Ricci curvature satisfy Hessx V + Ricx I for all x 2 M, with some 2 R.
Trending Questions (1)
What are the latest advances in optimal transportation theory?

The paper does not provide information about the latest advances in optimal transportation theory. The paper focuses on providing simplifications, generalizations, and new examples and results related to optimal transportation with constraint.