P vs. NP problem (nonfiction): Difference between revisions

From Gnomon Chronicles
Jump to navigation Jump to search
No edit summary
No edit summary
 
Line 18: Line 18:
== Fiction cross-reference ==
== Fiction cross-reference ==


* [[Crimes against mathematical constants]]
* [[Gnomon algorithm]]
* [[Gnomon algorithm]]
* [[Gnomon Chronicles]]
* [[Gnomon Chronicles]]
Line 31: Line 32:
=== Social media ===
=== Social media ===


* [ Post] @ Twitter (6 September 2023)
[[Category:Nonfiction (nonfiction)]]


 
[[Category:Crimes against mathematical constants]]
[[Category:Nonfiction (nonfiction)]]


{{Template:Categories: P vs. NP problem}}
{{Template:Categories: P vs. NP problem}}
[[Category: (nonfiction)]]
* [https://www.youtube.com/watch?v=YX40hbAHx3s P vs. NP and the Computational Complexity Zoo] @ YouTube

Latest revision as of 09:35, 6 September 2023

The P versus NP problem is a major unsolved problem in theoretical computer science. In informal terms, it asks whether every problem whose solution can be quickly verified can also be quickly solved.

The informal term quickly, used above, means the existence of an algorithm solving the task that runs in polynomial time, such that the time to complete the task varies as a polynomial function on the size of the input to the algorithm (as opposed to, say, exponential time). The general class of questions for which some algorithm can provide an answer in polynomial time is "P" or "class P". For some questions, there is no known way to find an answer quickly, but if one is provided with information showing what the answer is, it is possible to verify the answer quickly. The class of questions for which an answer can be verified in polynomial time is NP, which stands for "nondeterministic polynomial time".[Note 1]

An answer to the P versus NP question would determine whether problems that can be verified in polynomial time can also be solved in polynomial time. If it turns out that P ≠ NP, which is widely believed, it would mean that there are problems in NP that are harder to compute than to verify: they could not be solved in polynomial time, but the answer could be verified in polynomial time.

The problem has been called the most important open problem in computer science.[1] Aside from being an important problem in computational theory, a proof either way would have profound implications for mathematics, cryptography, algorithm research, artificial intelligence, game theory, multimedia processing, philosophy, economics and many other fields.[2]

It is one of the seven Millennium Prize Problems selected by the Clay Mathematics Institute, each of which carries a US$1,000,000 prize for the first correct solution.


In the News

Fiction cross-reference

Nonfiction cross-reference

External links

Social media