randomness in algorithms

Randomness in algorithms refers to the use of unpredictable values or choices to influence their behavior. Unlike deterministic algorithms, which produce the same result every time given the same input, randomized algorithms introduce elements of chance to improve efficiency or solve problems that are hard to handle deterministically. This randomness can help balance workloads, find approximate solutions faster, or avoid worst-case scenarios. While the outcomes appear unpredictable, these algorithms are designed with statistical properties that ensure reliable performance over many runs, making them powerful tools in computer science and data processing.