Mathematical optimization is the process of finding the best solution to a problem from a set of possible solutions. It involves maximizing or minimizing an objective function, subject to a set of constraints. Optimization problems arise in various fields such as engineering, economics, finance, and logistics, among others. There are different techniques and algorithms used to solve optimization problems, including linear programming, nonlinear programming, integer programming, and evolutionary algorithms. By solving optimization problems, one can improve efficiency, reduce costs, and make better decisions.
