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A backtracking algorithm is a problem-solving algorithm that uses a brute force approach for finding the desired output. The Brute force approach tries out all the possible solutions and chooses the desired/best solutions. The term backtracking suggests that if the current solution is not suitable, then backtrack and try other solutions.
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Backtracking is used when we have multiple solutions, and we require all those solutions. Backtracking name itself suggests that we are going back and coming forward; if it satisfies the condition, then return success, else we go back again. It is used to solve a problem in which a sequence of objects is chosen from a specified set so that the ...
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Backtracking. Backtracking is a class of algorithms for finding solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons a candidate ("backtracks") as soon as it determines that the candidate cannot possibly be completed to a valid solution. [1]
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However, we can also solve it using backtracking. The general steps are as follows. 1. Sort the input array if necessary. However, in this example, sorting is not necessary. 2. Define ans and tmp where ans is the array storing all final permutations and tmp is used to store possible permutations at some point. 3.
