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https://github.com/pklatka/computational-methods-course
Solutions for computational methods course at AGH UST.
https://github.com/pklatka/computational-methods-course
Last synced: 8 days ago
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Solutions for computational methods course at AGH UST.
- Host: GitHub
- URL: https://github.com/pklatka/computational-methods-course
- Owner: pklatka
- Created: 2023-03-19T22:32:12.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-03T08:28:52.000Z (over 1 year ago)
- Last Synced: 2023-10-03T20:00:07.032Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 74.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Computational methods course
This repository contains solutions for computational methods 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/computational-methods-course/tree/main/Lab%2001): computer arithmetic, floating point numbers, errors
- [lab2](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2002): linear equations, Gauss-Jordan elimination, LU decomposition, least squares method, determining currents in a circuit
- [lab3](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2003): root finding methods: bisection, Newton, secant.
- [lab4](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2004): simulated annealing
- [lab5](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2005): Singular Value Decomposition
- [lab6](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2006): search engine using SVD
- [lab7](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2007): spectral decomposition
- [lab8](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2008): PageRank algorithm
- [lab9](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2009): OCR using Fourier transform
- [lab10](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2010): DFT, FFT
- [lab11](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2011): QR decomposition
- [lab12](https://github.com/pklatka/computational-methods-course/tree/main/Lab%2012): numerical integrationIf this repository helped you, don't forget to star βοΈ or forkπ΄.