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 kojima-spop@is.titech.ac.jp 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)

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

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Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Advanced End Users, Science/Research

Programming Language

C++, MATLAB

Related Categories

MATLAB Mathematics Software, C++ Mathematics Software

Registered

2011-02-02

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