Minimization Techniques

Minimization techniques are methods used to find the simplest or most efficient solution to a problem, often by reducing unnecessary steps or costs. In mathematics and computer science, they help optimize processes, reduce errors, or improve performance by identifying the smallest or most cost-effective options. Think of it like trimming a messy workspace to just the essential tools, making tasks easier and faster to complete. These techniques are widely used in fields like operations research, machine learning, and engineering to enhance decision-making and resource utilization.