https://github.com/khuyentran1401/linear-programming-with-pulp
https://github.com/khuyentran1401/linear-programming-with-pulp
discrete-optimization integer-programming linear-programming mathematical-programming optimization pulp python
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/khuyentran1401/linear-programming-with-pulp
- Owner: khuyentran1401
- Created: 2019-11-27T16:55:53.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-03-08T16:04:49.000Z (almost 6 years ago)
- Last Synced: 2025-03-27T03:51:21.570Z (9 months ago)
- Topics: discrete-optimization, integer-programming, linear-programming, mathematical-programming, optimization, pulp, python
- Language: Jupyter Notebook
- Size: 68.4 KB
- Stars: 12
- Watchers: 2
- Forks: 6
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# What is Linear Programming?
Linear programming is an optimization technique for a system of linear constraints and a linear objective function.
An objective function defines the quantity to be optimized with the goal to find the values of the variables that maximize or minimize the objective function
# PuLP
Pulp is an LP modeler writtern in Python, that is used to solve linear problems
# Problems
PuLP is used to solve different LP problems with high real-world applications. The descriptions about the problem can be found in each notebook