About SparsePOP
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...
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.
Features
- 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)
Previous Versions
Here you can find the changelog of SparsePOP since it was posted on our website on 2015-04-27 03:00:00.
The latest version is 259 and it was updated on 2024-04-22 15:58:39. See below the changes in each version.
SparsePOP version 259
Updated At: 2012-02-01
SparsePOP version files
Updated At: 2011-04-10
Changes: Several fixes and updates
Disclaimer
External Download
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