https://github.com/youngermaster/st0256-numerical-analysis
The idea of this project is to test out if it is worth it to use C++ instead of Python for algorithms of some numeric methods, like finding roots of non-linear equations using Newton-Raphson's method.
https://github.com/youngermaster/st0256-numerical-analysis
algorithms cpp latex-document newton-raphson python
Last synced: 2 months ago
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The idea of this project is to test out if it is worth it to use C++ instead of Python for algorithms of some numeric methods, like finding roots of non-linear equations using Newton-Raphson's method.
- Host: GitHub
- URL: https://github.com/youngermaster/st0256-numerical-analysis
- Owner: Youngermaster
- License: apache-2.0
- Created: 2021-05-18T02:50:09.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2022-01-16T06:00:53.000Z (over 4 years ago)
- Last Synced: 2025-01-27T09:28:01.779Z (over 1 year ago)
- Topics: algorithms, cpp, latex-document, newton-raphson, python
- Language: TeX
- Homepage:
- Size: 1.12 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ST0256-Numerical-Analysis
The idea of this project is to test out if it is worth it to use `C++` instead of `Python` for
algorithms of some numeric methods, like finding roots of non-linear equations using
Newton-Raphson's method.
Here is the link from the other part of the complete project:
| [Root equations web](https://github.com/svalenciaaq/RaicesDeEcuacionesWeb) |
| ------------- |
| 
|
### Check it out deployed right here: http://3.226.113.5:3001/#/
## Introduction
Why this project? the aim of this project is to be able to analyze and draw a conclusion to the
question, is it worth spending more time programming in C ++? Or is it more profitable to do this
type of algorithms using Python and its libraries in terms of development time and program performance?
## What will we test?
In this project we will only find roots of an equation using:
- Newton-Raphson method.
- Bisection method.
- Secant method.
- Regula-Falsi method.
- Fixed-point iteration method.
### Device used
### C++ Compiler
```
g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
```
### Python interpreter
```
Python 3.8.5
```
## How to test the Python methods
Make sure to have installed `numpy`, `sympy` and `pytest`.
```
pip install numpy
pip install sympy
pip install pytest
```
Then go the `Python/` folder and then run the test of the algorithm you want, for instance:
```
cd Python
pytest bisection.py
pytest fixedPoint.py
pytest newtonRaphson.py
pytest regulaFalsi.py
pytest secant.py
```