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==The Optimal Transport Problem== | ==The Optimal Transport Problem== | ||
Unless otherwise specified, all topics are for general cost functions ''c(x,y)''. | Unless otherwise specified, all topics are for general cost functions ''c(x,y)''. | ||
* Kantorovich Dual Problem (for <math> c(x,y) = d(x,y) </math> where <math> d </math> is a metric); Villani (34) | * Kantorovich Dual Problem (for <math> c(x,y) = d(x,y) </math> where <math> d </math> is a metric); Villani (34) |
Revision as of 18:42, 18 May 2020
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The Optimal Transport Problem
Unless otherwise specified, all topics are for general cost functions c(x,y).
- Kantorovich Dual Problem (for where is a metric); Villani (34)
- Optimal Transport in One Dimension; Villani (73-78); Santambrogio (59-67)
- 1-Wasserstein metric, duality, and measures with unequal mass; Piccoli, Rossi, and Tournus A Wasserstein norm for signed measures, with application to nonlocal transport equation with source term
Numerical Methods for Optimal Transport
- Semidiscrete Optimal Transport (for ); Santambrogio (242-248); Peyré Cuturi (85-89)
Applications of Optimal Transport
- Machine Learning Kolouri, et al, Optimal Mass Transport: Signal processing and machine-learning applications
- Economic Matching Problems; Santambrogio (44-48) Galichon, A survey of some recent applications of optimal transport methods to econometrics
Mathematical Foundations: Functional Analysis
Mathematical Foundations: Optimization
- Fenchel-Rockafellar and Linear Programming; Brezis (15-17); Rockafellar, Variational Analysis (505-507)