Facility location MILP (MPS)
Facility location with binary open/close variables. Integer markers: INTORG / INTEND.
Run: cuopt_cli facility.mps --time-limit 60 --mip-relative-tolerance 0.01
/cuopt-numerical-optimization-api
@e0cd22dLP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
Ask your Agent
Use this Skill: https://skilld.dev/gh/nvidia/skills/cuopt-numerical-optimization-api
This session only. Nothing lands on disk.
≈50 tokens on demand. Your agent reads this file only when SKILL.md points to it.
Source: SKILL.md on GitHub
Third-party checks
1 warning1mo3 checks · Risk SAFE
- Gen Agent Trust Hub1mo
The skill provides a comprehensive environment for modeling and solving optimization problems using the NVIDIA cuOpt library. It includes well-documented examples and reference implementations for Python, C, and CLI interfaces. Security analysis identified a remote data download from a reputable academic source and standard data ingestion patterns for optimization files, neither of which present malicious risk.
- Socket1mo
No alerts
- Snyk1mo
Risk: MEDIUM · 1 issue
Provenance
Signed by skilld at e0cd22d. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub yesterday.
Activeupdated 2 months ago
Capability
- version
- 26.10.00
Other metadata
- metadata
{ "author": "NVIDIA cuOpt Team", "tags": [ "cuopt", "linear-programming", "milp", "qp", "python", "c-api", "cli" ] }