Do you want BuboFlash to help you learning these things? Or do you want to add or correct something? Click here to log in or create user.

#computation #social-choice

The famous P = NP conjecture states that the hardest problems in NP do not admit polynomial-time algorithms and are thus not contained in P. Although this statement remains unproven, it is widely believed to be true. Hardness of a problem for a particular class intuitively means that the problem is no easier than any other problem in that class. Both membership and hardness are established in terms of reductions that transform instances of one problem into instances of another problem using computational means appropriate for the complexity class under consideration. Most reductions in this book rely on reductions that can be computed in time polynomial in the size of the problem instances, and are called polynomial-time reductions. Finally, a problem is said to be complete for a complexity class if it is both contained in and hard for that class. For instance, deciding whether a directed graph possesses a Hamiltonian cycle is NP-complete

If you want to change selection, open document below and click on "Move attachment"

status | not read | reprioritisations | ||
---|---|---|---|---|

last reprioritisation on | suggested re-reading day | |||

started reading on | finished reading on |

Do you want to join discussion? Click here to log in or create user.