Reduction techniques are methods used to simplify complex problems or systems into more manageable forms. These techniques are commonly applied in various fields, including mathematics, computer science, and engineering. By breaking down a problem into smaller parts, it becomes easier to analyze and solve, often leading to more efficient solutions. In optimization, reduction techniques can help minimize the number of variables or constraints, making it simpler to find the best outcome. For example, in linear programming, techniques like dual formulation or sensitivity analysis can reduce the complexity of the problem, allowing for quicker and more effective decision-making.