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==Numerical Methods for Optimal Transport== | ==Numerical Methods for Optimal Transport== | ||
* Sinkhorn's Algorithm; Peyré Cuturi (62-73) | * Sinkhorn's Algorithm; Peyré Cuturi (62-73) | ||
* Semidiscrete Optimal Transport (for <math> c(x,y) = |x-y|^2 </math>); Santambrogio (242-248); Peyré Cuturi (85-89) | * Semidiscrete Optimal Transport (for <math> c(x,y) = |x-y|^2 </math>); Santambrogio (242-248); Peyré Cuturi (85-89) |
Revision as of 17:22, 13 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 general costs); Villani (17-21), Santambrogio (9-16)
- Kantorovich Dual Problem (for where is a metric); Villani (34)
- Kantorovich Dual Problem (for where is a metric); Santambrogio (16-18)
- Optimal Transport in One Dimension; Villani (73-78); Santambrogio (59-67)
Numerical Methods for Optimal Transport
- Sinkhorn's Algorithm; Peyré Cuturi (62-73)
- 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)