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== Why some NP problems are hard to solve == Because of the many important problems in this class, there have been extensive efforts to find polynomial-time algorithms for problems in NP. However, there remain a large number of problems in NP that defy such attempts, seeming to require [[super-polynomial time]]. Whether these problems are not decidable in polynomial time is one of the greatest open questions in [[computer science]] (see [[P versus NP problem|'''P''' versus NP ("P = NP") problem]] for an in-depth discussion). An important notion in this context is the set of [[NP-complete]] decision problems, which is a subset of NP and might be informally described as the "hardest" problems in NP. If there is a polynomial-time algorithm for even ''one'' of them, then there is a polynomial-time algorithm for ''all'' the problems in NP. Because of this, and because dedicated research has failed to find a polynomial algorithm for any NP-complete problem, once a problem has been proven to be NP-complete, this is widely regarded as a sign that a polynomial algorithm for this problem is unlikely to exist. However, in practical uses, instead of spending computational resources looking for an optimal solution, a good enough (but potentially suboptimal) solution may often be found in polynomial time. Also, the real-life applications of some problems are easier than their theoretical equivalents.
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