cuopt-qp-api-c

Create and solve quadratic programming problems via the cuOpt C API in C/C++ applications.

2.8k|332|Updated Feb 25, 2026

Search Tags:#optimization #cpp #c-api #qp #cuopt #quadratic-programming #minimization

Ready to run

npx skills add https://github.com/NVIDIA/skills --skill cuopt-qp-api-c

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cuopt-qp-api-c
Source: https://github.com/NVIDIA/skills/tree/main/skills/cuopt/cuopt-qp-api-c
Command: npx skills add https://github.com/NVIDIA/skills --skill cuopt-qp-api-c

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Embedding quadratic programming problems into C/C++ applications using cuOpt to minimize quadratic objectives efficiently.

Core Features & Use Cases

Supports the cuOpt C API for creating and solving QP problems.
Mirrors the LP/MILP C build pattern to simplify integration in existing C/C++ projects.
Use cases include embedded optimization in routing, resource allocation, and scheduling with quadratic terms.

Quick Start

Build with the same include/lib pattern as LP/MILP C and call the cuOpt QP creation and solver in your C/C++ project.

Frequently Asked Questions about cuopt-qp-api-c

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

FAQPage Schema

How do I solve quadratic programming problems in a C or C++ application?▼

You can solve quadratic programming problems in a C or C++ application by embedding cuOpt using its C API, which provides specific creation and solve calls to minimize quadratic objectives efficiently.

Does the cuOpt C API support minimizing quadratic objectives for operations research tasks?▼

Yes, the cuOpt C API supports minimizing quadratic objectives specifically for engineering and operations research tasks, allowing you to embed optimization directly into your native software.

Can I integrate quadratic optimization into existing C++ projects that already use the LP or MILP build pattern?▼

Yes, you can integrate quadratic optimization into existing projects because the cuOpt QP C API mirrors the same include and lib build pattern used for LP and MILP C implementations.

What types of use cases require minimizing quadratic terms in C/C++ software?▼

Use cases requiring minimizing quadratic terms in C/C++ software include embedded optimization tasks for routing, resource allocation, and scheduling where quadratic objectives must be computed.

What is the best way to start building a QP solver with cuOpt in C?▼

The best way to start building a QP solver with cuOpt in C is to follow the standard include and lib build pattern and invoke the cuOpt QP creation and solver calls within your application.

Are there specific dependencies needed to embed quadratic programming with cuOpt in C?▼

No specific external dependencies are required to embed quadratic programming with cuOpt in C, as the Skill operates independently using the standard cuOpt C API include and library pattern.