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https://github.com/pklatka/graph-algorithms-course
Solutions for graph algorithms course at AGH UST.
https://github.com/pklatka/graph-algorithms-course
Last synced: 8 days ago
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Solutions for graph algorithms course at AGH UST.
- Host: GitHub
- URL: https://github.com/pklatka/graph-algorithms-course
- Owner: pklatka
- Created: 2022-11-13T23:32:42.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-03T08:29:15.000Z (over 1 year ago)
- Last Synced: 2023-10-03T20:01:19.807Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 4.23 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Graph algorithms course
This repository contains solutions for graph algorithms course at AGH UST. Every task is in a separate folder. Solutions were written using Python. Each folder contains a task description in Polish.
## Tasks
- [lab1](https://github.com/pklatka/graph-algorithms-course/tree/main/lab1): finding the most expensive path in a graph
- [lab2](https://github.com/pklatka/graph-algorithms-course/tree/main/lab2): max-flow algorithm implementation
- [lab3](https://github.com/pklatka/graph-algorithms-course/tree/main/lab3): solving minimum cut problem with max-flow and Stoer-Wagner algorithm
- [lab4](https://github.com/pklatka/graph-algorithms-course/tree/main/lab4): detecting chordal graphs, finding the greatest clique in graph, calculating chromatic number of graph, the minimum vertex cover problem
- [project1](https://github.com/pklatka/graph-algorithms-course/tree/main/project1): finding minimum cost of planning K performancesIf this repository helped you, don't forget to star βοΈ or forkπ΄.