Computational optimization

Computational optimization involves using computer algorithms and methods to find the best solution to a problem within given constraints. It’s like solving a complex puzzle where the goal is to maximize or minimize a specific outcome—such as reducing costs or improving efficiency. The process evaluates many possible options quickly, helping decision-makers identify the most effective choice without manual trial and error. This approach is widely used in areas like logistics, finance, engineering, and machine learning to make informed, optimal decisions efficiently.