column-generation

Community

Solve complex optimization problems.

Authorkishorkukreja
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill tackles large-scale optimization problems that are too complex for standard methods by using advanced decomposition techniques like column generation.

Core Features & Use Cases

  • Decomposition: Breaks down massive problems into smaller, manageable master and subproblems.
  • Column Generation: Efficiently generates only the necessary variables (columns) on demand, making intractable problems solvable.
  • Applications: Solves problems like cutting stock, crew scheduling, vehicle routing, and production planning.
  • Use Case: Optimize the cutting of large rolls into smaller pieces to meet specific demands while minimizing waste, a classic example of the cutting stock problem.

Quick Start

Use the column-generation skill to solve a cutting stock problem with a roll width of 100 and demands for pieces of widths 45, 36, 31, and 14.

Dependency Matrix

Required Modules

numpypulpmatplotlib

Components

scriptsreferences

💻 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: column-generation
Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#column-generation

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