Welcome to Optimization Techniques Lecture Notes
This resource contains all the lecture materials for the Optimization Techniques course. The content is organized by modules covering fundamental concepts to advanced topics in mathematical optimization.
How to use these notes:
- Browse lectures using the table of contents on the left
- Use the search box to quickly find specific topics
- Click on any lecture to view its content in this area
- Return to this welcome page by clicking "Welcome & Instructions"
Course Overview:
This course covers both classical and modern optimization methods with applications in engineering, business, and data science. Topics include linear programming, nonlinear optimization, integer programming, stochastic optimization, and metaheuristics.
Note:
These materials are provided as a supplement to the course lectures. For best results, combine these notes with the recommended textbooks and programming exercises.