The first primality tests using randomized algorithms (based on refinements to Fermat’s little theorem) ushered in a new era. Problem after problem turned out to be far easier to solve with randomness ...

Randomized algorithms for combinatorial and discrete optimization; Randomized algorithms for machine learning on networks; Deadlines. CU Internal Deadline: 11:59pm MST May 2, 2022. DOE Pre-Application ...

Randomized algorithms have become an essential tool in solving linear systems and least squares problems, particularly in large-scale applications. These algorithms leverage randomness to improve ...