Combinatorics
Backtracking algorithms are a class of algorithms that build solutions incrementally, abandoning those that fail to satisfy the conditions of a problem as soon as possible. They are particularly useful for solving constraint satisfaction problems, such as puzzles, pathfinding, and combinatorial optimization. By exploring all possible options and backtracking when a solution cannot be completed, these algorithms ensure that all potential solutions are considered efficiently.
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