LR(k) Testing is Average Case Complete
CCC '97 Proceedings of the 12th Annual IEEE Conference on Computational Complexity
Average-case non-approximability of optimisation problems
FCT'05 Proceedings of the 15th international conference on Fundamentals of Computation Theory
| Hi-index | 0.00 |
Many interesting combinatorial problems were found to be NP-complete. Since there is little hope to solve them fast in the worst case, researchers look for algorithms which are fast just “on average”. This matter is sensitive to the choice of a particular NP-complete problem and a probability distribution of its instances. Some of these tasks were easy and some not. But one needs a way to distinguish the “difficult on average” problems. Such negative results could not only save “positive” efforts but may also be used in areas (like cryptography) where hardness of some problems is a frequent assumption. A concept of “NP-complete random problems” proposed below may serve this purpose.