Which algorithmic technique involves searching through all potential solutions?

The technique that involves searching through all possible solutions is known as brute force. This method systematically enumerates all candidate solutions and examines each one to determine whether it satisfies the problem's requirements. Brute force is often used when the solution space is relatively small, making it feasible to evaluate every possibility.

Brute force guarantees a solution, if one exists, since it exhaustively covers the entire search space. However, it can be inefficient for larger datasets or more complex problems, as the number of potential solutions can grow exponentially.

In contrast, techniques like greedy algorithms make local optimizations at each step without considering the overall problem scope, while dynamic programming breaks problems down into simpler sub-problems and stores solutions to avoid redundant calculations. Backtracking, on the other hand, explores potential solutions incrementally, abandoning paths that do not lead to a viable solution, but it does not guarantee that all solutions will be checked. Thus, brute force stands out as the method that ensures every potential solution is considered.