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cuopt-qp-api-python

Official

Solve quadratic programs with cuOpt in Python.

Software Engineering#python#optimization#solver#qp#cuopt#quadratic-programming
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Enables building and solving Quadratic Programs (QP) using cuOpt through a Python API, allowing developers to model variables, objectives and constraints and obtain optimal solutions.

Core Features & Use Cases

  • Create optimization problems with Problem, addVariable, setObjective (MINIMIZE), and addConstraint; supports pure quadratic objectives.
  • Demonstrated workflows include portfolio optimization, least squares, and quadratic problems with linear constraints, providing practical templates and patterns.
  • Use SolverSettings to tune runtime behavior and interpret Status results to retrieve ObjValue and variable values.

Quick Start

Create a cuOpt Problem, configure variables, specify a quadratic objective and constraints, then solve to retrieve the optimal values.

Dependency Matrix

Required Modules

None required

Components

assets

💻 Claude Code Installation

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Please help me install this Skill:
Name: cuopt-qp-api-python
Download link: https://github.com/NVIDIA/skills/archive/main.zip#cuopt-qp-api-python

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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