Which of the following is NOT a typical application of dynamic programming?
Practice Questions
Q1
Which of the following is NOT a typical application of dynamic programming?
Matrix chain multiplication
Finding the maximum subarray sum
Depth-first search in graphs
Edit distance calculation
Questions & Step-by-Step Solutions
Which of the following is NOT a typical application of dynamic programming?
Step 1: Understand what dynamic programming is. It is a method used to solve complex problems by breaking them down into simpler subproblems and storing the results of these subproblems to avoid redundant calculations.
Step 2: Identify typical applications of dynamic programming. Common examples include problems like the Fibonacci sequence, shortest path problems (like Dijkstra's algorithm), and the knapsack problem.
Step 3: Recognize what depth-first search (DFS) is. DFS is an algorithm used to traverse or search through graph structures by exploring as far as possible along each branch before backtracking.
Step 4: Compare DFS with dynamic programming. DFS is primarily a traversal algorithm and does not involve breaking down problems into subproblems or storing results, which are key characteristics of dynamic programming.
Step 5: Conclude that since depth-first search is not about optimizing or storing results of subproblems, it is NOT a typical application of dynamic programming.
