Some best book in the field of Mathematical Optimization.

📚 Exploring Introductory Resources on Mathematical Optimization 🧮

Mathematical optimization is a vast and diverse field that finds applications in numerous domains. If you’re looking for great introductory resources, here are some recommendations across different subfields:

Linear Optimization:

  • “Introduction to Linear Optimization” by Bertsimas & Tsitsiklis

Convex Optimization:

  • “Convex Optimization” by Boyd & Vandenberghe

Nonlinear Optimization:

  • “Algorithms for Optimization” by Kochenderfer & Wheeler
  • “Practical Optimization” by Murray & Gill

Discrete Optimization:

  • “Optimization Over Integers” by Bertsimas & Weismantel
  • “Integer and Combinatorial Optimization” by Nemhauser & Wolsey

These books provide solid foundations in their respective areas and are often cited as valuable resources.

But there are many more.. What are your favorite optimization resources?

Feel free to share your go-to books, online courses, or any other materials that have helped you on your optimization journey in the comments.