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Python version of MATLAB SOSTOOLS, a toolbox for sum-of-squares optimization

Project description

This package is a Python version of MATLAB TOOLBOX -- SOSTOOLS.

This package contains functions based on sympy package. However, in case of a large number of decision variables, sympy may take a long time to parse the data.

Demos are in the folder SOSPy_demos.

Updates in the current version:

  • When creating an SOS program, the code searches for and prints out all installed and available solvers.
  • We have added cvxpy as a solver. As a result, users can now utilize other solvers through cvxpy.
  • The solvers we currently support are mosek and cvxpy.
  • It's worth noting that since cvxpy acts as a parser, certain results cannot be read after executing with cvxpy. This includes details like the iteration number, primal infeasible, and dual infeasible.

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