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

Other Useful Business Software
Zenflow- The AI Workflow Engine for Software Devs Icon
Zenflow- The AI Workflow Engine for Software Devs

Parallel agents. Multi-agent orchestration. Specs that turn into shipped code. Zenflow automates planning, coding, testing, and verification.

Zenflow is the AI workflow engine built for real teams. Parallel agents plan, code, test, and verify in one workflow. With spec-driven development and deep context, Zenflow turns requirements into production-ready output so teams ship faster and stay in flow.
Try free now
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

Advanced End Users, Science/Research

Programming Language

C++, MATLAB

Related Categories

MATLAB Mathematics Software, C++ Mathematics Software

Registered

2011-02-02