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📊 Mathematical Computing

This repository contains a set of Python-based Google Colab notebooks implementing key algorithms and concepts from mathematical computing. It covers topics from optimization and logic to regression and graph-based methods, making it a useful resource for students and practitioners alike.

🧮 Topics Covered

🧠 Logical & Discrete Math

  • Logical Equivalence and Implication (Truth Tables)
  • Fibonacci using Recursion

📈 Linear & Multiple Regression

  • Simple Linear Regression
  • Multiple Linear Regression

🧮 Optimization Techniques

  • Simplex Method (LPP)
  • Two-Phase Simplex Method (LPP)
  • Graphical Method for LPP
  • Transportation Problem
  • Assignment Problem (Hungarian Algorithm)

🕒 Project Scheduling

  • Critical Path Method (CPM) and PERT

🚀 How to Use

  1. Clone the repository:

    git clone https://github.com/mvharsh/Mathematical-Computing.git

  2. Open any .ipynb file using Google Colab or Jupyter Notebook.

🛠️ Tools Used

  • Language: Python
  • Platform: Google Colab
  • Libraries: numpy, matplotlib, pandas, scipy, etc.