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Fast and exact methods for image-based Multimarginal Optimal Transport (MMOT) problems

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Multimarginal Optimal Transport (MMOT)

Code to accompany paper

  1. Zhou and M. Parno (2022) "Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs"

Installation

First install the cairo and jupyterlab packages using conda:

conda install -c conda-forge cairo jupyterlab

If you plan on building the sphinx documentation, you will also need to install sphinx and the pydata-sphinx-theme:

Then you can install mmot by cloning this repository and install the package with pip:

git clone git@github.com:simda-muri/mmot.git
pip install -e mmot

On Colab, you can install mmot by:

!git clone https://github.com:simda-muri/mmot.git
!pip install -e mmot

Example Usage

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Fast and exact methods for image-based Multimarginal Optimal Transport (MMOT) problems

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