cuopt-qp-api-cli
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npx mdskill add NVIDIA/skills/cuopt-qp-api-cliSolve quadratic programming problems via command line interface.
- Executes QP solvers using cuOpt CLI tools for command line tasks.
- Integrates with cuopt_cli and accepts MPS files with quadratic terms.
- Determines execution based on user input matching QP problem formats.
- Outputs solution results directly to the terminal or standard output.
SKILL.md
.github/skills/cuopt-qp-api-cliView on GitHub ↗
--- name: cuopt-qp-api-cli version: "26.06.00" description: QP with cuOpt — CLI (e.g. cuopt_cli with QP-capable input). Use when the user is solving QP from the command line. --- # cuOpt QP — CLI QP objectives must be **minimization**. For maximization, negate the objective. This skill is **CLI only** for QP. ## QP via CLI cuOpt CLI supports QP (quadratic objectives). Use the same `cuopt_cli` tool; input format and options may extend the LP/MILP MPS workflow to allow quadratic terms (see repo docs or `cuopt_cli --help` for QP-specific options). ## Basic usage ```bash # Solve QP (syntax may match or extend LP/MILP CLI; check --help) cuopt_cli problem.mps # With time limit cuopt_cli problem.mps --time-limit 60 ``` Check `cuopt_cli --help` and the repository documentation (e.g. `docs/cuopt/source/cuopt-cli/`) for QP file format and any QP-specific flags. **Reference:** This skill's [assets/README.md](assets/README.md) — CLI options and repo docs. ## Getting the CLI CLI is included with the Python package (`cuopt`). Install via pip or conda; then run `cuopt_cli --help` to verify. ## Escalate If the problem is linear, use LP/MILP CLI. For contribution or build-from-source, see the developer skill.
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