Science Score: 13.0%
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary
Repository
Port of SPGL1 to python
Basic Info
- Host: GitHub
- Owner: drrelyea
- License: lgpl-2.1
- Language: Python
- Default Branch: master
- Size: 3.46 MB
Statistics
- Stars: 44
- Watchers: 7
- Forks: 29
- Open Issues: 1
- Releases: 4
Metadata Files
README.md
SPGL1: Spectral Projected Gradient for L1 minimization
Original home page: http://www.cs.ubc.ca/labs/scl/spgl1/
Introduction
SPGL1 is a solver for large-scale one-norm regularized least squares.
It is designed to solve any of the following three problems:
Basis pursuit denoise (BPDN):
minimize ||x||_1 subject to ||Ax - b||_2 <= sigma,Basis pursuit (BP):
minimize ||x||_1 subject to Ax = bLasso:
minimize ||Ax - b||_2 subject to ||x||_1 <= tau,
The matrix A can be defined explicitly, or as an operator
that returns both both Ax and A'b.
SPGL1 can solve these three problems in both the real and complex domains.
Installation
From PyPi
If you want to use spgl1 within your codes, install it in your
Python environment by typing the following command in your terminal:
pip install spgl1
From Source
First of all clone the repo. To install spgl1 within your current
environment, simply type:
make install
or as a developer:
make dev-install
To install spgl1 in a new conda environment, type:
make install_conda
or as a developer:
make dev-install_conda
Getting started
Examples can be found in the examples folder in the form of
jupyter notebooks.
Documentation
The official documentation is built with Sphinx and hosted on readthedocs.
References
The algorithm implemented by SPGL1 is described in these two papers
E. van den Berg and M. P. Friedlander, "Probing the Pareto frontier for basis pursuit solutions", SIAM J. on Scientific Computing, 31(2):890-912, November 2008
E. van den Berg and M. P. Friedlander, "Sparse optimization with least-squares constraints", Tech. Rep. TR-2010-02, Dept of Computer Science, Univ of British Columbia, January 2010
Owner
- Login: drrelyea
- Kind: user
- Repositories: 1
- Profile: https://github.com/drrelyea
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: almost 2 years ago
All Time
- Total issues: 10
- Total pull requests: 24
- Average time to close issues: 11 months
- Average time to close pull requests: 7 days
- Total issue authors: 9
- Total pull request authors: 10
- Average comments per issue: 6.4
- Average comments per pull request: 1.0
- Merged pull requests: 22
- 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
- Parham21 (2)
- GillesC (1)
- Jwink3101 (1)
- jhtu (1)
- Orcuslc (1)
- theXYZT (1)
- epnev (1)
- mrava87 (1)
- galveston12345 (1)
Pull Request Authors
- mrava87 (17)
- andreasdoll (4)
- GillesC (2)
- Orcuslc (1)
- epnev (1)
- lebedov (1)
- Parham21 (1)
- drrelyea (1)
- Jwink3101 (1)
- galveston12345 (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- Sphinx * development
- image * development
- ipython * development
- jupyter * development
- matplotlib * development
- nbsphinx * development
- numpy >=1.15.0 development
- numpydoc * development
- pytest * development
- pytest-runner * development
- scipy * development
- setuptools_scm * development
- sphinx-gallery * development
- sphinx-rtd-theme * development
- numpy >=1.15.0
- scipy *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- numpy >= 1.15.0
- scipy *