integer-programming
CommunityMaster discrete optimization with practical IPs.
Data & Analytics#optimization#scheduling#assignment#integer-programming#milp#knapsack#combinatorial-optimization
AuthorSPIRAL-EDWIN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Integer Programming for solving optimization problems where some decisions must be integers, enabling precise modeling of binary and discrete quantities.
Core Features & Use Cases
- Standard IP formulations: Model 0-1, binary, and integer variables with linear constraints.
- Common problem families: Knapsack, assignment, scheduling, facility location, and related combinatorial optimization tasks.
- Use Case: Quickly prototype a model to select projects under resource constraints or optimally assign tasks to workers.
Quick Start
Use the skill to build and solve a small IP example in Python or MATLAB without manual trial-and-error.
Dependency Matrix
Required Modules
None requiredComponents
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: integer-programming Download link: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/archive/main.zip#integer-programming Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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