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2. Computational hardness assumption - Wikipedia

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

   This means that they are at least as hard as any problem in the class . If a problem is C {\displaystyle C} -hard (with respect to polynomial time reductions), then it cannot be solved by a polynomial-time algorithm unless the computational hardness assumption P ≠ C {\displaystyle P\neq C} is false.

3. NP-hardness - Wikipedia

   en.wikipedia.org/wiki/NP-hardness

   NP-hard Class of problems which are at least as hard as the hardest problems in NP. Problems that are NP-hard do not have to be elements of NP; indeed, they may not even be decidable. NP-complete Class of decision problems which contains the hardest problems in NP. Each NP-complete problem has to be in NP. NP-easy

4. Complexity class - Wikipedia

   en.wikipedia.org/wiki/Complexity_class

   The study of the relationships between complexity classes is a major area of research in theoretical computer science. There are often general hierarchies of complexity classes; for example, it is known that a number of fundamental time and space complexity classes relate to each other in the following way: L ⊆ NL ⊆ P ⊆ NP ⊆ PSPACE ⊆ ...

5. The best universities for computer science in 5 global regions

   www.aol.com/best-universities-computer-science-5...

   Revelo collected rankings from U.S. News and World Report to identify the top 10 universities for computer science within five global regions. Web designers, software developers, computer network ...

6. Computational complexity theory - Wikipedia

   en.wikipedia.org/wiki/Computational_complexity...

   A complexity class is a set of problems of related complexity. Simpler complexity classes are defined by the following factors: The type of computational problem: The most commonly used problems are decision problems. However, complexity classes can be defined based on function problems, counting problems, optimization problems, promise ...

7. Parameterized complexity - Wikipedia

   en.wikipedia.org/wiki/Parameterized_complexity

   The W hierarchy is a collection of computational complexity classes. A parameterized problem is in the class W[i], if every instance (,) can be transformed (in fpt-time) to a combinatorial circuit that has weft at most i, such that (,) if and only if there is a satisfying assignment to the inputs that assigns 1 to exactly k inputs.