gridOT-package: gridOT: Approximate Optimal Transport Between Two-Dimensional...
In gridOT: Approximate Optimal Transport Between Two-Dimensional Grids
gridOT-package R Documentation
gridOT: Approximate Optimal Transport Between Two-Dimensional Grids
Description
Can be used for optimal transport between two-dimensional grids with respect to separable cost functions of l^p form. It utilizes the
Frank-Wolfe algorithm to approximate so-called pivot measures: one-dimensional transport plans that fully describe the full transport, see G.
Auricchio (2021) arXiv:2105.07278. For these, it offers methods for visualization and to extract the corresponding transport plans and costs.
Additionally, related functions for one-dimensional optimal transport are available.
Author(s)
Maintainer: Michel Groppe michel.groppe@stud.uni-goettingen.de
Other contributors:
Nicholas Bonneel [contributor]
Egerváry Research Group on Combinatorial Optimization [copyright holder]
References
G. Auricchio (2021). On the Pythagorean Structure of the Optimal Transport for Separable Cost Functions. arXiv preprint arXiv:2105.07278.
gridOT documentation built on Oct. 19, 2022, 1:06 a.m.
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| gridOT-package | R Documentation |
gridOT: Approximate Optimal Transport Between Two-Dimensional Grids
Description
Can be used for optimal transport between two-dimensional grids with respect to separable cost functions of l^p form. It utilizes the
Frank-Wolfe algorithm to approximate so-called pivot measures: one-dimensional transport plans that fully describe the full transport, see G.
Auricchio (2021) arXiv:2105.07278. For these, it offers methods for visualization and to extract the corresponding transport plans and costs.
Additionally, related functions for one-dimensional optimal transport are available.
Author(s)
Maintainer: Michel Groppe michel.groppe@stud.uni-goettingen.de
Other contributors:
Nicholas Bonneel [contributor]
Egerváry Research Group on Combinatorial Optimization [copyright holder]
References
G. Auricchio (2021). On the Pythagorean Structure of the Optimal Transport for Separable Cost Functions. arXiv preprint arXiv:2105.07278.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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