Randomized algorithms are a powerful tool for solving complex problems that are hard to solve deterministically. They use random choices or inputs to influence the behavior and output of the ...

Randomized algorithms have a wide range of applications in multiple domains and fields. For example, in computer science, they are used for sorting, searching, hashing, encryption, compression ...

A Randomized Algorithm for Single-Source Shortest Path on Undirected Real-Weighted Graphs Abstract: ... [Thorup 1999]. Note that there is a proposed complexity lower bound of $\Omega(m+\min \{n \log n ...

Many modern applications require low-latency processing of large data sets, often by using approximate algorithms that trade accuracy of the results for faster execution or reduced memory consumption.