Since 2020, aggregated from related topics
Mathematical optimization, also known as mathematical programming, is a branch of mathematics that deals with finding the best possible solution to a given problem within a set of constraints. It involves determining the optimal values for decision variables in order to minimize or maximize an objective function. Mathematical optimization is used in various fields such as engineering, economics, finance, and logistics to optimize resource allocation, production schedules, transportation routes, and many other complex problems. There are different types of mathematical optimization techniques including linear programming, nonlinear programming, integer programming, and convex optimization.