Numerical methods are used to find an approximation to those problems which are very difficult to solve symbolically. Codes are written in Python & MATLAB. For every algorithm an example has been used as well as a MATLAB live script or/and a jupyter notebook file has been added to each folder to see the results for the example.
- Eulers Method
- Euler's Method
- Modified Euler's Method
- Runge-Kutta Method
- Runge-Kutta of Second-Order
- Runge-Kutta of Fourth-Order
- Mid-Point Method
- Heun's Method
- Multi-Step Method
- Adams-Bashforth Two-Step
- Adams-Bashforth Three-Step
- Adams-Bashforth Four-Step
- Adams-Moulton Two-Step
- Adams-Moulton Three-Step
- Adams-Moulton Four-Step
- Predator-Corrector Method
- Laplace (PDE)
- Heat equation using Finite Difference Method