When dynamic programming is applied to a problem, it takes far less time as compared to other methods that don’t take advantage of overlapping subproblems.

Related MCQs

• If a problem can be broken into subproblems which are reused several times, the problem possesses                           property.
• You are given infinite coins of N denominations v1, v2, v3,…..,vn and a sum S. The coin change problem is to find the minimum number of coins required to get the sum S. What is the time complexity of a dynamic programming implementation used to solve the coin change problem?
• When a top-down approach of dynamic programming is applied to a problem, it usually                            
• In divide and conquer, the time is taken for merging the subproblems is?
• What is the time complexity of the above dynamic programming implementation of the assembly line scheduling problem?
• In what time can the Hamiltonian path problem can be solved using dynamic programming?
• What is the worst case time complexity of dynamic programming solution of set partition problem(sum=sum of set elements)?
• Recursive solution of subset sum problem is faster than dynamic problem solution in terms of time complexity.
• Recursive solution of Set partition problem is faster than dynamic problem solution in terms of time complexity.
• Given a rod of length n and the selling prices of all pieces smaller than equal to n, find the most beneficial way of cutting the rod into smaller pieces. This problem is called the rod cutting problem. Which of these methods can be used to solve the rod cutting problem?