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?

What is the main principle behind Dynamic Programming (DP)?

A. Recursion with memoization.

B. Greedy approach.

C. Divide and conquer.

D. Overlapping subproblems and optimal substructure.

Which of the following problems can be solved using Dynamic Programming?

A. Binary Search

B. Depth-First Search

C. Longest Common Subsequence

D. Quick Sort

What is the key advantage of using Dynamic Programming over plain recursion?

A. It makes the code simpler.

B. It reduces the time complexity by storing results of subproblems.

C. It uses more memory.

D. It makes the code simpler.

In the context of Dynamic Programming, what does the term "memoization" refer to?

A. Using a stack to manage function calls.

B. A method for dividing problems.

C. Storing intermediate results to avoid redundant calculations.

D. A technique to speed up sorting.