column-generation
CommunitySolve complex optimization problems.
Software Engineering#optimization#decomposition#operations research#cutting stock#vehicle routing#column generation
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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