This is the Linux app named SparsePOP to run in Linux online whose latest release can be downloaded as SparsePOP303.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SparsePOP to run in Linux online
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DESCRIPTION
SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to [email protected] 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)
Audience
Science/Research, Advanced End Users
Programming Language
MATLAB, C++
This is an application that can also be fetched from https://sourceforge.net/projects/sparsepop/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
