📊 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.

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🧮 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

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🚀 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.

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🛠️ Tools Used

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