cuOpt LP/MILP — C API

Confirm problem type and formulation (variables, objective, constraints, variable types) before coding.

This skill is C only.

Quick Reference: C API

#include <cuopt/linear_programming/cuopt_c.h>

// CSR format for constraints
cuopt_int_t row_offsets[] = {0, 2, 4};
cuopt_int_t col_indices[] = {0, 1, 0, 1};
cuopt_float_t values[] = {2.0, 3.0, 4.0, 2.0};
char var_types[] = {CUOPT_CONTINUOUS, CUOPT_INTEGER};

cuOptCreateRangedProblem(
    num_constraints, num_variables, CUOPT_MINIMIZE,
    0.0, objective_coefficients,
    row_offsets, col_indices, values,
    constraint_lower, constraint_upper,
    var_lower, var_upper, var_types,
    &problem
);
cuOptSolve(problem, settings, &solution);
cuOptGetObjectiveValue(solution, &obj_value);

Debugging (MPS / C)

MPS parsing: Required sections in order: NAME, ROWS, COLUMNS, RHS, (optional) BOUNDS, ENDATA. Integer markers: 'MARKER', 'INTORG', 'INTEND'.

OOM or slow: Check problem size (variables, constraints); use sparse matrix; set time limit and gap tolerance.

Examples

• examples.md — LP/MILP with build instructions
• assets/README.md — Build commands for all reference code below
• lp_basic — Simple LP: create problem, solve, get solution
• lp_duals — Dual values and reduced costs
• lp_warmstart — PDLP warmstart (see README)
• milp_basic — Simple MILP with integer variable
• milp_production_planning — Production planning with resource constraints
• mps_solver — Solve from MPS file via cuOptReadProblem

For CLI (MPS files), use cuopt_cli and product docs.

Escalate

If the problem is quadratic (squared or cross terms in the objective), use QP. For contribution or build-from-source, use product or repo documentation.