A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization
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# zfista : A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization
This code repository includes the source code for the [Paper](http://example.com “Preparing”)
` A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization Hiroki Tanabe, Ellen H. Fukuda, and Nobuo Yamashita `
## Requirements - Python 3.5 or later
## Examples You can run some examples on jupyter notebooks. `sh jupyter notebook `
## For developers To set up development environment, run `sh python -m venv venv source venv/bin/activate python -m pip install --upgrade pip pip install -r requirements.txt `
## Testing You can run all tests by `sh python -m unittest discover `
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