Randomized Algorithms

Last Updated : 22 Feb, 2024

Randomized algorithms in data structures and algorithms (DSA) are algorithms that use randomness in their computations to achieve a desired outcome. These algorithms introduce randomness to improve efficiency or simplify the algorithm design. By incorporating random choices into their processes, randomized algorithms can often provide faster solutions or better approximations compared to deterministic algorithms. They are particularly useful in situations where exact solutions are difficult to find or when a probabilistic approach is acceptable.

For example, in Randomized Quick Sort, we use a random number to pick the next pivot (or we randomly shuffle the array). Typically, this randomness is used to reduce time complexity or space complexity in other standard algorithms.

Introduction to Randomized Algorithms:

Easy Problems on Randomized Algorithms:

Medium Problems on Randomized Algorithms:

Hard Problems on Randomized Algorithms:

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