Current collected state Current
Observed since 20 Oct, 19:42 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
admk
Algebraic Dynamics Monge Kantorovich solver for Basis Pursuit problem
========
Overview
========
Algebraic Dynamics Monge Kantorovich solver for solution of Optimal Transport on
Graphs. It contains (part of) the work described in `Fast Iterative Solution of the Optimal Transport Problem on Graphs <https://doi.org/10.1137/20M137015X>`_. Consider citying this paper if you find the code inside this repository useful.
* Free software: MIT license
Installation
============
::
pip install admk
You can also install the in-development version with::
pip install https://github.com/enricofacca/admk/archive/main.zip
Documentation
=============
https://admk.readthedocs.io/
Development
===========
To run all the tests run::
tox
Note, to combine the coverage data from all the tox environments run:
.. list-table::
:widths: 10 90
:stub-columns: 1
- - Windows
- ::
set PYTEST_ADDOPTS=--cov-append
tox
- - Other
- ::
PYTEST_ADDOPTS=--cov-append tox
Changelog
=========
0.1.1 (2022-06-10)
------------------
* Working code.
0.1.0 (2022-06-10)
------------------
* Working code.
0.0.0 (2022-01-12)
------------------
* First release on PyPI.
Download counts and popularity will appear here as the collector receives them.
| Package / target | Requirement | Relationship |
|---|---|---|
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"marker": null,
"requires_python": ">=3.6",
"evaluation": "NOT_EVALUATED"
} | rcis (>=0.2.0) | runtime |
numpyEnvironment{
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"marker": null,
"requires_python": ">=3.6",
"evaluation": "NOT_EVALUATED"
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scipyEnvironment{
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} | scipy (>=1.5.0) | runtime |
bdist_wheel · 11.31 KB · Python py2.py3
sdist · 61.94 KB · Python source
Observed since 20 Oct, 19:42 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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