Contributing

Below is a non-exhaustive list of opportunities for contributing to the development of SDPA for Python.

Small scope projects

1. Improving this documentation.
2. Writing unit tests/benchmarks.

Medium scope projects

1. Implementation of clp_toEQ and result_fromEQ routines in convert.py to allow user to choose SeDuMi Primal format as the internal representation of the problem (i.e. allow user to set convMethod to EQ in the solver options). Currently only clp_toLMI and result_fromLMI are present which convert the problem to SeDuMi Dual format.
2. Implementation of domain and range space conversion method using clique trees (i.e. rconv_cliquetree, rconv_cliqueresult, dconv_cliquetree and dconv_cliqueresult in spcolo.py

Large scope projects

1. Add support for SOCP constraints to make the package a complete SQLP solver. This is a contribution to SDPA (and not just SDPA for Python).