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juliahub.com : ProximalMethods
Provides proximal operator evaluation routines and proximal optimization algorithms, such as (accelerated) proximal gradient methods and alternating direction method of multipliers (ADMM), for non-smooth/non-differentiable objective functions.
Registry
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Source
- Documentation
- JSON
purl: pkg:julia/ProximalMethods
Keywords: optimization, julia, proximal-operators, proximal-gradient-descent, proximal-algorithms
License: MIT
Latest release: over 1 year ago
First release: over 1 year ago
Stars: 1 on GitHub
Forks: 0 on GitHub
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Last synced: 22 days ago