Welcome to the Non-Linear Optimization Tutorial! 🐸

Non-linear optimization is a fascinating area of mathematics and computer science, involving the process of finding the best solution from all possible solutions for problems where the objective function or constraints are non-linear.

Topics covered in this tutorial include:

• Introduction to Optimization
• Gradient Descent
• Newton's Method
• Lagrange Multipliers
• Real-world Applications

Further Reading and Resources

For more details, consider exploring these additional resources:

• Gradient Descent Explained 📉
• Optimization in Python 🐍
• Data Science Applications 📊