I worked on all of the above Projects as a Part of my Course Curriculum of Numerical Analysis in my 1st Year, 2nd Semester.
Here I have learnt about several techniques and algorithms along with their practical applications.
I made awesome Physics Simulations and also used various techniques to fit models to data. I have done the following things, mostly, across all the above mini-projects:
- Solving Ordinary Differential Equations using iterative techniques like Taylor's Method and more advanced Runge-Kutta Method. I did physics simulation involving Elastic Pendulum, Gravity Well ball trajectory.
- Fitting MLE Distribution to Biostatistics Data.
- Matrix Algorithms: QR Decomposition, Gauss-Jordan Elimination, LU Decomposition.
- Finite Element Methods Modeling of Soap Film on a Frame of any shape.
- Polynomial Interpolation.
NOTE: Since, most of the Projects include interactive plots, animations, etc. they can't be viewed directly on github. Hence, .html files need to be downloaded and viewed locally or you may view the github pages deployment of this repo to skip downloading.