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Probabilistic algorithms use randomness as part of their logic, often providing faster or simpler solutions compared to deterministic algorithms, though they may produce incorrect results with a small probability. They are particularly useful in scenarios where an approximate solution is sufficient or where deterministic solutions are computationally expensive.
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