ProxSDP is an open-source semidefinite programming (SDP) solver based on the paper "Exploiting Low-Rank Structure in Semidefinite Programming by Approximate Operator Splitting". The main advantage of ProxSDP over other state-of-the-art solvers is the ability to exploit the low-rank structure inherent to several SDP problems.

Features

  • General conic convex optimization problems with the presence of the positive semidefinite cone, second-order cone and positive orthant
  • Semidefinite relaxation of nonconvex problems, for example, max-cut, binary MIMO, optimal power flow, sensor localization, sum-of-squares
  • Control theory problems with LMI constraints
  • Nuclear norm minimization problems, for example, matrix completion
  • ProxSDP is licensed under the MIT License
  • Documentation available

Project Samples

ProxSDP.jl Screenshot 1

Project Activity

See All Activity >

Categories

Data Visualization

License

MIT License

Follow ProxSDP.jl

ProxSDP.jl Web Site

Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud Icon
Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ProxSDP.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-14
Report inappropriate content