What are the differences between greedy algorithms and backtracking?

What are the differences between greedy algorithms and backtracking?

Greedy algorithms make the locally optimal choice at each step, hoping to find a global optimum. Backtracking, on the other hand, explores all possible solutions and backtracks when a solution fails to meet the criteria.

Can you give me an example of a problem suited for greedy algorithms?

Sure! A classic example is the Coin Change problem, where you want to make change for a certain amount using the fewest coins possible.

And what about backtracking? Any examples?

Yes! The N-Queens problem is a great example, where you need to place N queens on an N×N chessboard so that no two queens threaten each other.

Which approach is generally more efficient?

It depends on the problem. Greedy algorithms are often faster but may not always yield the optimal solution, while backtracking can guarantee an optimal solution but may take longer.