Which of the following is NOT a typical dynamic programming problem?
Practice Questions
Q1
Which of the following is NOT a typical dynamic programming problem?
Longest Common Subsequence
Matrix Chain Multiplication
Depth First Search
Coin Change Problem
Questions & Step-by-Step Solutions
Which of the following is NOT a typical dynamic programming problem?
Step 1: Understand what dynamic programming is. It is a method for solving complex problems by breaking them down into simpler subproblems and storing the results of these subproblems to avoid redundant calculations.
Step 2: Identify common examples of dynamic programming problems. These include problems like the Fibonacci sequence, the Knapsack problem, and the Longest Common Subsequence.
Step 3: Recognize what Depth First Search (DFS) is. DFS is an algorithm used to traverse or search through graph structures, exploring as far as possible along each branch before backtracking.
Step 4: Compare DFS with typical dynamic programming problems. DFS is focused on exploring paths in a graph, while dynamic programming is about optimizing solutions to problems with overlapping subproblems.
Step 5: Conclude that since DFS is a graph traversal algorithm and does not involve breaking down problems into subproblems for optimization, it is NOT a typical dynamic programming problem.
