Numerical methods implementation in Python 3.

For the "MATLAB version", see this repository.

conda env create
conda activate numerical-methods-env

pip install -r requirements.txt

This section assumes Ubuntu 16.04 (also tested on Ubuntu 20.04), but the procedure is similar for other Linux distributions.

sudo apt -y install python3-numpy

To run the main example, use:

python3 main.py

• Bisection method
• Newton method
• Secant method

• Lagrange method
• Neville method

• Briot-Ruffini method
• Newton's Divided-Difference method

• Backward-difference method
• Three-Point method
• Five-Point method

• Composite Trapezoidal method
• Composite 1/3 Simpson's method

• Euler's method
• Taylor's (Order Two) method
• Taylor's (Order Four) method
• Runge-Kutta (Order Four) method

• Runge-Kutta (Order Four) method

• Gaussian Elimination
• Backward Substitution
• Forward Substitution

• Jacobi method
• Gauss-Seidel method

• Python - Programming language used

• Cristiano Nunes