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 >

Categories

Mathematics

License

GNU General Public License version 2.0 (GPLv2)

Follow SparsePOP

SparsePOP Web Site

You Might Also Like
Red Hat Ansible Automation Platform on Microsoft Azure Icon
Red Hat Ansible Automation Platform on Microsoft Azure

Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SparsePOP!

Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Science/Research, Advanced End Users

Programming Language

MATLAB, C++

Related Categories

MATLAB Mathematics Software, C++ Mathematics Software

Registered

2011-02-02
Report inappropriate content