Constraints as Clues: A Guide to Efficient DSA Problem Solving

When solving problems in Data Structures and Algorithms (DSA), constraints can often guide us toward the optimal approach and reduce trial and error. Constraints are typically given as part of the problem statement, and they inform us about the input size, expected solution complexity, and approach we should take to solve the problem efficiently. Understanding how to interpret these constraints is a valuable skill that can help predict the appropriate approach for a given problem.