A randomized algorithm is a computational process that utilizes random numbers to influence its behavior and outcomes. This approach allows the algorithm to tackle problems more efficiently or with a simpler structure than deterministic methods, often leading to faster performance on average or providing approximate solutions when exact ones are difficult to compute. The use of randomness can help create data structures that adapt and respond to varying inputs, making them more effective in real-world applications.
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