RNC (Randomized Nick's Class)

RNC, or Randomized Nick's Class, is a complexity class in theoretical computer science that deals with problems solvable efficiently using randomized algorithms. Specifically, problems in RNC can be solved quickly with algorithms that incorporate randomness, allowing for faster computation with a high probability of correctness. These algorithms run in parallel steps, reducing overall runtime significantly. RNC is often compared to the class P (deterministic polynomial time), with the key difference being the use of randomness to achieve efficiency. It’s a way to categorize problems where randomized solutions offer practical advantages in terms of speed.