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  2. List of unsolved problems in computer science - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    Download QR code; Print/export Download as PDF; ... This article is a list of notable unsolved problems in computer science. A problem in computer science is ...

  3. Project Euler - Wikipedia

    en.wikipedia.org/wiki/Project_Euler

    Project Euler (named after Leonhard Euler) is a website dedicated to a series of computational problems intended to be solved with computer programs. [1] [2] The project attracts graduates and students interested in mathematics and computer programming.

  4. Lists of unsolved problems - Wikipedia

    en.wikipedia.org/wiki/Lists_of_unsolved_problems

    List of unsolved problems may refer to several notable conjectures or open problems in various academic fields: Natural sciences, engineering and medicine [ edit ]

  5. Category:Unsolved problems in computer science - Wikipedia

    en.wikipedia.org/wiki/Category:Unsolved_problems...

    Download QR code; Print/export Download as PDF; Printable version; In other projects ... Pages in category "Unsolved problems in computer science"

  6. Computational hardness assumption - Wikipedia

    en.wikipedia.org/wiki/Computational_hardness...

    Instead, computer scientists rely on reductions to formally relate the hardness of a new or complicated problem to a computational hardness assumption about a problem that is better-understood. Computational hardness assumptions are of particular importance in cryptography .

  7. NP-hardness - Wikipedia

    en.wikipedia.org/wiki/NP-hardness

    Class of decision problems which contains the hardest problems in NP. Each NP-complete problem has to be in NP. NP-easy At most as hard as NP, but not necessarily in NP. NP-equivalent Decision problems that are both NP-hard and NP-easy, but not necessarily in NP. NP-intermediate If P and NP are different, then there exist decision problems in ...

  8. NP (complexity) - Wikipedia

    en.wikipedia.org/wiki/NP_(complexity)

    Whether these problems are not decidable in polynomial time is one of the greatest open questions in computer science (see 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 ...

  9. AI-complete - Wikipedia

    en.wikipedia.org/wiki/AI-complete

    On the other hand, a problem is AI-Hard if and only if there is an AI-Complete problem that is polynomial time Turing-reducible to . This also gives as a consequence the existence of AI-Easy problems, that are solvable in polynomial time by a deterministic Turing machine with an oracle for some problem.