What is backtracking in computer science?

What is backtracking in computer science?

Backtracking is an algorithmic technique for solving problems incrementally, by trying partial solutions and then abandoning them if they fail to satisfy the conditions of the problem.

Can you give me an example of where backtracking is used?

Sure! A classic example is the N-Queens problem, where the goal is to place N queens on an N×N chessboard so that no two queens threaten each other.

How does backtracking differ from other algorithms?

Backtracking is different because it explores all possible configurations and backtracks as soon as it determines that a configuration cannot lead to a solution, unlike greedy algorithms that make local optimal choices.

Are there any limitations to using backtracking?

Yes, backtracking can be inefficient for large problem spaces, as it may explore many possibilities before finding a solution. It's often used when the solution space is manageable.