Mathematical Optimization

What is mathematical optimization?

Mathematical optimization is the process of finding the best possible solution to a problem by testing and evaluating different options. This process can be used to solve problems in a wide range of fields, from engineering and architecture to economics and operations research. Optimization problems often involve choosing the best possible course of action from a set of constraints, making them inherently difficult to solve. However, the use of mathematical optimization techniques can help to find near-optimal solutions with a high degree of accuracy. In many cases, optimization algorithms can find the global optimum, which is the absolute best solution to the problem. In other cases, they may only be able to find a local optimum, which is a good but not necessarily perfect solution. However, even a local optimum can be useful in many situations.