Optimization Lessons

Mathematical programming is a modern field within applied mathematics focused on the design and methodology for solving optimization problems with limited resources, from a practical perspective and using a computer. These problems arise in decision-making processes in contexts such as economics, engineering, chemistry, biology, and others.

This text contains lessons in Computational Complexity, Linear Programming, Integer Programming, Dynamic Programming, Graph Theory, and Combinatorial Optimization. It is divided into three parts, covering basic principles, continuous linear optimization, and integer optimization, respectively.