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SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to if you have any question and/or request.

We also release SparsePOPC++ and SparsePOPC++-windows. Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.

SparsePOP Web Site


  • A MATLAB implementation of sparse semidefinite programming (SDP) relaxation
  • Effective for a polynomial optimization problem with sparse structure
  • Use SeDuMi, SDPA, SDPT3, CSDP and SDPNAL as SDP solvers
  • Incorporate local solvers in Optimization Toolbox with SparsePOP to refine the solution and value obtained by SparsePOP
  • A C++ implementation of SparsePOP is released (SDPA is necessary)

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Intended Audience

Science/Research, Advanced End Users

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