cuopt-numerical-optimization-formulation

Installation
SKILL.md

Numerical Optimization Formulation

Concepts and workflow for going from a problem description to a clear formulation across LP, MILP, and QP. No API code here.

What is LP / MILP / QP

  • LP: Linear objective, linear constraints, continuous variables.
  • MILP: Same as LP plus some integer or binary variables (e.g., scheduling, facility location, selection).
  • QP: Quadratic objective (e.g., x², x·y terms — portfolio variance, least squares), linear constraints. QP support in cuOpt is currently in beta.

Identifying problem type

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1
Repository
nvidia/cuopt
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953
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10 days ago
cuopt-numerical-optimization-formulation — nvidia/cuopt