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cuopt-numerical-optimization-formulation

Community

From words to optimization models.

Data & Analytics#optimization#milp#lp#formulation#qp#cuopt#problem-parsing
Authorsayalinvidia
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Translates natural-language optimization problems into formal LP/MILP/QP formulations, reducing manual modeling effort.

Core Features & Use Cases

  • Label sentences as parameters, constraints, decisions, or objectives.
  • Detect implicit objectives and resolve them into explicit targets.
  • Provide a complete problem-to-model workflow suitable for cuOpt-style formulations.
  • Use cases include education, rapid prototyping, and production-ready problem modeling.

Quick Start

Provide a natural-language optimization problem and receive a structured LP/MILP/QP formulation.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: cuopt-numerical-optimization-formulation
Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#cuopt-numerical-optimization-formulation

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