cuopt-lp-milp-api-cli

Solve LP and MILP problems from MPS inputs via the cuOpt CLI.

2.8k|332|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/NVIDIA/skills --skill cuopt-lp-milp-api-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cuopt-lp-milp-api-cli
Source: https://github.com/NVIDIA/skills/tree/main/skills/cuopt/cuopt-lp-milp-api-cli
Command: npx skills add https://github.com/NVIDIA/skills --skill cuopt-lp-milp-api-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This CLI-only skill enables solving LP and MILP problems from MPS inputs using cuOpt, automating deterministic optimization tasks from the command line.

Core Features & Use Cases

  • CLI-only solver for LP and MILP problems using cuOpt with MPS files.
  • Supports common options like --time-limit, --mip-relative-tolerance, and --mip-absolute-tolerance to control performance and precision.
  • Use cases include production planning, facility-location modeling, and other optimization workloads executed in automation pipelines.

Quick Start

Run cuopt_cli on a provided MPS file to solve an LP or MILP from the command line.

Frequently Asked Questions about cuopt-lp-milp-api-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I solve LP and MILP optimization problems from MPS files via the command line?

You can solve LP and MILP optimization problems from MPS files via the command line by running the cuOpt CLI, which processes deterministic optimization tasks directly from standard MPS inputs.

Can I control the time limit and tolerance for MILP solving in a CLI environment?

Yes, you can control MILP solving in a CLI environment by passing options like --time-limit, --mip-relative-tolerance, and --mip-absolute-tolerance to the cuOpt CLI to manage performance and precision.

What is the best way to automate production planning and facility-location optimization tasks?

Automating production planning and facility-location optimization tasks is best achieved by running the cuOpt CLI solver on MPS files within your automation pipelines to execute deterministic optimization workloads.

Does the cuOpt LP MILP solver require any specific input formatting for optimization models?

Yes, the cuOpt LP MILP solver requires specific input formatting, satisfying technical requirements for standard MPS file formatting to correctly parse and solve linear and mixed-integer programming models.

Why use a CLI-only solver for linear programming and mixed-integer programming workloads?

Using a CLI-only solver for linear programming and mixed-integer programming workloads enables seamless integration into automation pipelines, allowing engineers to run deterministic optimization tasks without graphical interface overhead.