Tools for Computational Optimal Transport

Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) for the general exposition to the study of computational optimal transport.


Reference manual

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0.1.0 by Kisung You, a year ago

Browse source code at

Authors: Kisung You [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, Rdpack, lpSolve, stats, utils

Suggests ggplot2

Linking to Rcpp, RcppArmadillo

See at CRAN