What is the main difference between dynamic programming and divide and conquer?

Dynamic programming solves problems by breaking them into independent subproblems
Divide and conquer uses memoization
Dynamic programming solves problems with overlapping subproblems
There is no difference

What is the main difference between dynamic programming and divide and conquer?

Step 1: Understand what dynamic programming is. It is a method used to solve problems by breaking them down into smaller subproblems that overlap.
Step 2: Recognize that in dynamic programming, the same subproblems are solved multiple times, so we store their results to avoid redundant calculations.
Step 3: Understand what divide and conquer is. It is a method used to solve problems by breaking them down into smaller subproblems that are independent of each other.
Step 4: In divide and conquer, each subproblem is solved separately, and their results are combined to solve the original problem.
Step 5: Identify the main difference: dynamic programming is for overlapping subproblems, while divide and conquer is for independent subproblems.

No concepts available.