Can you explain how backtracking works in algorithms?
Sure! Backtracking is a problem-solving technique that incrementally builds candidates for solutions and abandons a candidate as soon as it is determined that it cannot lead to a valid solution.
Can you give me an example of where backtracking is used?
Absolutely! A common example is solving puzzles like Sudoku, where you try placing numbers in a grid and backtrack when you hit a conflict.
What are the advantages of using backtracking?
Backtracking is useful because it can efficiently explore all possible configurations and find solutions without having to check every single possibility.
Are there any limitations to backtracking?
Yes, backtracking can be inefficient for large problem spaces, as it may still explore many paths before finding a solution.
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