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GitHub / CarlKho-Minerva / 23US-1-3_Algorithms-and-Simulations
This repository contains two Python codes that implement different algorithms and simulations. The first provides an implementation of the traveling salesman problem (TSP) algorithm using a randomized nearest neighbor algorithm and a 2-opt optimization algorithm. The second simulates the spread of COVID-19 using the SIR model and Euler's method.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 1.85 MB
Dependencies:
0
Created: about 1 year ago
Updated: about 1 month ago
Last pushed: about 1 year ago
Last synced: about 1 month ago
Topics: covid-19, eulers-method, nearest-neighbor-search, philippines, sir-model, two-opt-swap
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