例句與造句

1. The complexity class P is often seen as a mathematical abstraction modeling those computational tasks that admit an efficient algorithm.
2. See Complexity classes P and NP .-- Robert Merkel 08 : 45, 14 April 2006 ( UTC)
3. For instance, the complexity class P is defined to be the set of problems solvable by a Turing machine in polynomial time.
4. In fact, their existence would prove that the complexity classes P and NP are not equal, thus resolving the foremost unsolved question of theoretical computer science.
5. A major unresolved challenge is to determine if the problem admits a polynomial time algorithm, that is, whether the problem lies in the complexity class P.
6. It's difficult to find complexity class p in a sentence. 用complexity class p造句挺難的
7. In fact, for some time it was not known whether the linear programming problem was solvable in polynomial time, i . e . of complexity class P.
8. It has been proved that the satisfiability of an arbitrary set of DEA is in the "'complexity class P "'when a brute force search requires an exponential time.
9. For instance, computer scientists generally believe that the complexity class P ( the set of all decision problems solvable in polynomial time ) is not equal to the complexity class measure-theoretic sense, " much bigger than P ".
10. The complexity class P 1 is the class of the unary languages that can be recognized by a polynomial time Turing machine ( given its input written in unary ); it is the analogue of the class # P, is also known.
11. Perhaps the most important open problem in all of computer science is the question of whether a certain broad class of problems denoted Complexity classes P and NP, and P versus NP problem is one of the seven Millennium Prize Problems stated by the Clay Mathematics Institute in 2000.
12. Complexity classes P and NP discusses the most famous unsolved problem in computer science-while we * suspect * that there is absolutely no way to solve the travelling salesman problem efficiently, we have not been able to show this for certain, despite 30 years of trying.
13. :The most relevant articles are probably Integer factorization, Shor's algorithm and Complexity classes P and NP . I expect security systems will migrate to Elliptic curve cryptography ( or perhaps a cryptosystem based on yet another hard problem ) relatively quickly once integer factorization of 2048 bit numbers becomes computionably feasible ( whether classicly or using quantum algorithms ).
14. Oracle machines are useful for investigating the relationship between complexity classes P and NP, by considering the relationship between P A and NP A for an oracle A . In particular, it has been shown there exist languages A and B such that P A = NP A and P B & ne; NP B ( Baker, Gill, and Solovay 1975 ).