Which algorithmic paradigm divides the problem into subproblems and solves each one independently?
- Backtracking
- Divide and Conquer
- Dynamic Programming
- Greedy
The divide and conquer paradigm breaks down a problem into smaller subproblems, solves each subproblem independently, and then combines their solutions to form the solution to the original problem. It's commonly used in algorithms like merge sort and quicksort.
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