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  2. Polynomial hierarchy - Wikipedia

    en.wikipedia.org/wiki/Polynomial_hierarchy

    In computational complexity theory, the polynomial hierarchy (sometimes called the polynomial-time hierarchy) is a hierarchy of complexity classes that generalize the classes NP and co-NP. [1] Each class in the hierarchy is contained within PSPACE. The hierarchy can be defined using oracle machines or alternating Turing machines.

  3. Toda's theorem - Wikipedia

    en.wikipedia.org/wiki/Toda's_theorem

    The class P #P consists of all the problems that can be solved in polynomial time if you have access to instantaneous answers to any counting problem in #P (polynomial time relative to a #P oracle). Thus Toda's theorem implies that for any problem in the polynomial hierarchy there is a deterministic polynomial-time Turing reduction to a ...

  4. Structural complexity theory - Wikipedia

    en.wikipedia.org/wiki/Structural_complexity_theory

    Pictorial representation of the polynomial time hierarchy. The arrows denote inclusion. In computational complexity theory of computer science, the structural complexity theory or simply structural complexity is the study of complexity classes, rather than computational complexity of individual problems and algorithms. It involves the research ...

  5. PH (complexity) - Wikipedia

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

    In computational complexity theory, the complexity class PH is the union of all complexity classes in the polynomial hierarchy: = PH was first defined by Larry Stockmeyer. [1] It is a special case of hierarchy of bounded alternating Turing machine.

  6. Descriptive complexity theory - Wikipedia

    en.wikipedia.org/wiki/Descriptive_complexity_theory

    SO, unrestricted second-order logic, is equal to the Polynomial hierarchy PH. More precisely, we have the following generalisation of Fagin's theorem: The set of formulae in prenex normal form where existential and universal quantifiers of second order alternate k times characterise the k th level of the polynomial hierarchy.

  7. P versus NP problem - Wikipedia

    en.wikipedia.org/wiki/P_versus_NP_problem

    If graph isomorphism is NP-complete, the polynomial time hierarchy collapses to its second level. [21] Since it is widely believed that the polynomial hierarchy does not collapse to any finite level, it is believed that graph isomorphism is not NP-complete. The best algorithm for this problem, due to László Babai, runs in quasi-polynomial ...

  8. Bing cherry - Wikipedia

    en.wikipedia.org/wiki/Bing_cherry

    Bing is a cultivar of the wild or sweet cherry (Prunus avium) that originated in the Pacific Northwest, in Milwaukie, Oregon, United States. The Bing remains a major cultivar in Oregon, [ 1 ] Washington , California , [ 1 ] Wisconsin [ 1 ] and British Columbia .

  9. Counting hierarchy - Wikipedia

    en.wikipedia.org/wiki/Counting_hierarchy

    In complexity theory, the counting hierarchy is a hierarchy of complexity classes. It is analogous to the polynomial hierarchy, but with NP replaced with PP. It was defined in 1986 by Klaus Wagner. [1] [2] More precisely, the zero-th level is C 0 P = P, and the (n+1)-th level is C n+1 P = PP C n P (i.e., PP with oracle C n). [2] Thus: C 0 P = P ...