👉 Merit math is a decision-making framework that evaluates the quality of solutions based on their accuracy and efficiency, rather than solely on their complexity. It involves comparing proposed solutions against a set of criteria, often derived from the problem's requirements, to determine which solution provides the best trade-off between correctness and resource usage. This approach is particularly useful in scenarios where multiple solutions exist, and the goal is to select the one that maximizes merit, defined as the product of accuracy and efficiency. By systematically assessing solutions through this lens, merit math helps in making informed choices that balance performance and resource constraints, ensuring optimal outcomes in various applications, from algorithm design to engineering optimization problems.
