https://github.com/cvxgrp/mm_dist_lapl
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: cvxgrp
- Language: Python
- Default Branch: master
- Size: 2.09 MB
Statistics
- Stars: 5
- Watchers: 19
- Forks: 6
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
mmdistlapl
Code and examples for the paper on distributed majorization-minimization for Laplacian regularized problems by J. Tuck, D. Hallac, and S. Boyd (2019).
Usage
The requirements to run this code are: * NumPy * SciPy * CVXPY * Matplotlib * Python 3.x
Each example may individually be run.
Citing
If you wish to cite this code or the associated paper, please use the following BibTex:
@article{tuck2019distributed,
author = {Tuck, J. and Hallac, D. and Boyd, S.},
title = {Distributed majorization-minimization for Laplacian regularized problems},
journal = {IEEE/CAA Journal of Automatica Sinica},
year = {2019},
volume = {6},
number = {1},
pages = {45-52},
month = {January}
}
Owner
- Name: Stanford University Convex Optimization Group
- Login: cvxgrp
- Kind: organization
- Location: Stanford, CA
- Website: www.stanford.edu/~boyd
- Repositories: 102
- Profile: https://github.com/cvxgrp
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 1
- Total pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: about 2 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- andrewczgithub (1)
Pull Request Authors
- jonathantuck (3)