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cuopt-numerical-optimization-api-c

Solve LP, MILP, and beta QP problems via NVIDIA cuOpt's C API.

Updated May 23, 2026
Search Tags:#optimization#milp#c api#lp#qp#cuopt#csr constraints
One-click install
npx skills add https://github.com/yo-steven/skills-exploration-20260522 --skill cuopt-numerical-optimization-api-c
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cuopt-numerical-optimization-api-c
Source: https://github.com/yo-steven/skills-exploration-20260522/tree/main/skills/cuopt/cuopt-numerical-optimization-api-c
Command: npx skills add https://github.com/yo-steven/skills-exploration-20260522 --skill cuopt-numerical-optimization-api-c

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This skill helps C/C++ developers solve linear, mixed-integer, and beta quadratic programming optimization problems using NVIDIA cuOpt through the C API, reducing integration effort and implementation errors.

Core Features & Use Cases

  • LP/MILP/QP via cuOpt C API: Uses the same core workflow and calls for problem creation, solving, and retrieving results.
  • QP support (beta) with explicit constraints: QP is available as a beta feature and has rules such as MINIMIZE-only and continuous variables.
  • Concrete formulation guidance: Covers how to set up variables, objective, ranged constraints, and variable types, including CSR constraint representation.

Quick Start

Ask the skill to show you how to implement a cuOpt C API workflow for solving an LP or MILP with CSR constraints and integer variable types in your existing C project.

Frequently Asked Questions about cuopt-numerical-optimization-api-c

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I solve MILP and LP optimization problems in a C application?▼

Solve MILP and LP optimization problems in C by using the NVIDIA cuOpt C API to create variables, apply CSR constraints, execute the solver, and retrieve results via core function calls.

What is CSR format and how is it used for optimization constraints in cuOpt?▼

CSR constraints in the cuOpt C API format ranged constraints using Compressed Sparse Row representation, requiring properly structured constraint data inputs passed to problem creation functions for LP and MILP solving.

Can I use quadratic programming with the cuOpt C API?▼

Quadratic programming is supported in the cuOpt C API as a beta feature restricted to MINIMIZE objectives and continuous variables, enabling quadratic objective modeling within C/C++ applications.

Does cuOpt's C API support mixed-integer variable types for production scheduling?▼

The cuOpt C API supports mixed-integer variable types for production scheduling, enabling developers to define integer and continuous variables for constraint-based planning within C/C++ applications.

What are the limitations when solving quadratic programming problems with cuOpt?▼

Quadratic programming limitations in cuOpt include beta status, MINIMIZE-only objective restriction, and continuous variable requirement, preventing mixed-integer QP formulation through the C API.

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