![]() Some t max such that P(RT A,x ≤ t max) = 1. Let P(RT A,x ≤ t) denote the probability that A finds a solution for a soluble instance x in time within t, then A is complete exactly if for each x there exists complete Las Vegas algorithms can be guaranteed to solve each solvable problem within run-time t max, where t max is an instance-dependent constant. ![]() There are three notions of completeness for Las Vegas algorithms:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |