Concept of Dynamic Programming Explained Clearly
Dynamic Programming (DP) is a powerful algorithmic technique used to solve problems that can be broken down into smaller subproblems whose solutions are reused to efficiently compute the final result. Unlike brute-force approaches or naive recursion, Dynamic Programming avoids unnecessary recomputation and significantly improves performance. 1. What Is Dynamic Programming? Dynamic Programming is a method of solving problems by: Dividing a problem into smaller subproblems Solving each subproblem only once Storing the solution of each subproblem Using stored solutions to build the final answer The word dynamic refers to solving problems step by step, while programming refers to structured problem-solving rather than coding. ...