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Python scripts for solving numerical and computational physics problems — includes Runge–Kutta, Newton–Raphson, FTCS, and other algorithms with visualisation.

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Numerical Methods

This repository contains Python scripts written while learning numerical methods and computational physics.
It includes implementations of algorithms like Runge–Kutta, Newton–Raphson, Bisection, and FTCS, with visualization using Matplotlib.

Contents

  • RK2.py, RK4.py — Runge–Kutta solvers
  • Newton-Raphson.py, Bisection.py — Root-finding algorithms
  • Integration_Methods.py — Numerical integration (Trapezoidal, Simpson’s)
  • FTCS_week9.py — Finite difference solution of 1D heat equation

Tools Used

Python (NumPy, Matplotlib)

Author

Mohit Jangid — M.Sc. Physics, IIT Delhi
LinkedIn | GitHub

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Python scripts for solving numerical and computational physics problems — includes Runge–Kutta, Newton–Raphson, FTCS, and other algorithms with visualisation.

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