How psbanerjee/numerical-analysis works
This repository is a collection of numerical-analysis examples: a user runs a script or notebook to apply a method to a numerical problem. The README documents root finding, ODE solving, numerical integration, two finite-difference applications, and Monte Carlo estimation. The sampled Python source confirms the Newton–Raphson example iterates toward a root and prints it. Notebook contents were not sampled, so their internal call flow is not shown.
Main entry points: Root Finding.ipynb Root Methods · Root Finding Using Newton Raphson Method.py Newton–Raphson · Ordinary Differential Equation.ipynb ODE Methods · Numerical Integration.ipynb Integration Methods
Components 8
Root Finding
- Root Methods
Root Finding.ipynb - Newton–Raphson
Root Finding Using Newton Raphson Method.py
ODE Solving
- ODE Methods
Ordinary Differential Equation.ipynb
Integration
- Integration Methods
Numerical Integration.ipynb
Finite Difference
- TISE Solver
Finite Difference Method.ipynb - Heat Equation
Heat Equation using Finite Difference Method.ipynb
Monte Carlo
- Pi Estimation
Monte Carlo.ipynb
Other components
- User
Connections 7
- User → Root Methods: runs
- User → Newton–Raphson: runs
- User → ODE Methods: runs
- User → Integration Methods: runs
- User → TISE Solver: runs
- User → Heat Equation: runs
- User → Pi Estimation: runs