What are the main algorithmic techniques used in computer science?
The main algorithmic techniques include divide and conquer, dynamic programming, greedy algorithms, and backtracking.
Can you explain how divide and conquer works?
Divide and conquer works by breaking a problem into smaller subproblems, solving each subproblem independently, and then combining their solutions.
How does dynamic programming differ from divide and conquer?
Dynamic programming solves overlapping subproblems by storing their results, while divide and conquer solves independent subproblems.
Which technique is generally more efficient?
It depends on the problem. Dynamic programming is often more efficient for problems with overlapping subproblems, while divide and conquer is better for problems that can be broken down into independent parts.
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