Gaussian Elimination 3D Visualization and Steps

A specific Python approach that uses the Gaussian Elimination technique to visualize the meeting point of three planes in three dimensions for data analysis.

Features

• Deterministic Logic: Not a random representation. Uses specific row operations:
  • $R_2 = R_2 - 2R_1$
  • $R_3 = R_3 + R_1$
  • $R_3 = 2R_3 + R_2$
• Mathematical Precision: Leverages SymPy for symbolic solving and NumPy for matrix manipulation.
• 3D Intersection Plot: Visualizes the unique solution point at $(3, -2, 1)$.

How to Run

1. Install dependencies:

   pip install numpy matplotlib sympy
   

Credits & Attribution

Credits & References

• Original Algorithm: This project's logic is derived from the article "Gaussian Elimination Algorithm in Python" by @theandrewdavis (Andrew Joseph Davies) on Medium.
• Core Tools:
  • SymPy for symbolic math.
  • NumPy for matrix operations.
  • Matplotlib for 3D visualization.
• Assistant: Built with the help of Google Gemini.