Python package that solves convex optimization problems using subgradient methods.
SubgradPy is a prototype package for analyzing symbolic expressions and evaluating subgradients at given points. It can be used to solve large-scale convex optimization problems. This package is no longer maintained, and the feature is supported by CVXPY (http://www.cvxpy.org/) , a domain-specific language for convex optimization embedded in Python.
Python package that solves convex optimization problems using subgradient methods.
SubgradPy is a prototype package for analyzing symbolic expressions and evaluating subgradients at given points. It can be used to solve large-scale convex optimization problems. This package is no longer maintained, and the feature is supported by CVXPY (http://www.cvxpy.org/) , a domain-specific language for convex optimization embedded in Python.
http://cs.stanford.edu/~maurizio/subgradpy.pdf