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
# 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 — 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.