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qp-formulation

Official

Explain quadratic programming concepts for cuOpt.

Software Engineering#optimization#matrices#qp#cuopt#quadratic#linear-constraints
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This knowledge captures quadratic programming concepts for cuOpt, enabling structured problem definitions without API specifics.

Core Features & Use Cases

  • Domain modeling: defines quadratic objectives and linear constraints for optimization tasks.
  • Educational focus: explains QP terminology, matrix properties, and problem structure to aid modeling.
  • Use cases: ideal for portfolio variance minimization, least-squares problems, and other linear-constraint QP scenarios.

Quick Start

Define a minimal quadratic programming problem with a positive semidefinite Q and linear constraints to illustrate cuOpt beta support.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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

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