About this document
Understanding NP-Hard and NP-Complete by mathu is a document available to read on EtoBox.
The document discusses polynomial time algorithms and complexity classes P, NP, NP-hard, and NP-complete. It defines each class and provides examples. Polynomial time algorithms run in O(nk) time, where n is the input size and k is a constant. P contains problems solvable in polynomial time, while NP contains problems verifiable in polynomial time. NP-hard problems are at least as hard as NP, and NP-complete problems are both NP-hard and in NP. The circuit satisfiability problem is used as an example of an
- Author
- mathu
- Language
- EN