How does the backtracking algorithm compare to other algorithms like dynamic programming?
Backtracking is a recursive algorithm that builds solutions incrementally, while dynamic programming solves problems by breaking them down into simpler subproblems and storing their solutions.
What are the advantages of using backtracking?
Backtracking is particularly useful for solving constraint satisfaction problems, like puzzles and games, as it explores all possible configurations.
Can you give an example of a problem where backtracking is preferred?
Sure! The N-Queens problem is a classic example where backtracking efficiently finds all possible arrangements of queens on a chessboard.
Are there any limitations to the backtracking algorithm?
Yes, backtracking can be inefficient for large problem spaces, as it may explore many paths that do not lead to a solution.
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