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
Property
LP
MILP
QP
Objective
Linear
Linear
Quadratic (xᵀQx + cᵀx)
Constraints
Linear
Linear
Linear (no quadratic constraints)
Variables
Continuous
Mixed: continuous + integer/binary
Continuous
Sense
min or max
min or max
minimize only
(negate to max)
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nvidia/skills
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May 29, 2026
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