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  2. Turing machine - Wikipedia

    en.wikipedia.org/wiki/Turing_machine

    Classes of automata. (Clicking on each layer gets an article on that subject) A Turing machine is a mathematical model of computation describing an abstract machine [ 1 ] that manipulates symbols on a strip of tape according to a table of rules. [ 2 ] Despite the model's simplicity, it is capable of implementing any computer algorithm.

  3. Universal Turing machine - Wikipedia

    en.wikipedia.org/wiki/Universal_Turing_machine

    In computer science, a universal Turing machine (UTM) is a Turing machine capable of computing any computable sequence, [1] as described by Alan Turing in his seminal paper "On Computable Numbers, with an Application to the Entscheidungsproblem". Common sense might say that a universal machine is impossible, but Turing proves that it is possible.

  4. Nondeterministic Turing machine - Wikipedia

    en.wikipedia.org/.../Nondeterministic_Turing_machine

    e. In theoretical computer science, a nondeterministic Turing machine (NTM) is a theoretical model of computation whose governing rules specify more than one possible action when in some given situations. That is, an NTM's next state is not completely determined by its action and the current symbol it sees, unlike a deterministic Turing machine.

  5. Halting problem - Wikipedia

    en.wikipedia.org/wiki/Halting_problem

    Halting problem. hide. In computability theory, the halting problem is the problem of determining, from a description of an arbitrary computer program and an input, whether the program will finish running, or continue to run forever. The halting problem is undecidable, meaning that no general algorithm exists that solves the halting problem for ...

  6. Theory of computation - Wikipedia

    en.wikipedia.org/wiki/Theory_of_computation

    The statement that the halting problem cannot be solved by a Turing machine [7] is one of the most important results in computability theory, as it is an example of a concrete problem that is both easy to formulate and impossible to solve using a Turing machine. Much of computability theory builds on the halting problem result.

  7. Complexity class - Wikipedia

    en.wikipedia.org/wiki/Complexity_class

    A Turing machine that "solves" a problem is generally meant to mean one that decides the language. Turing machines enable intuitive notions of "time" and "space". The time complexity of a TM on a particular input is the number of elementary steps that the Turing machine takes to reach either an accept or reject state.

  8. Turing completeness - Wikipedia

    en.wikipedia.org/wiki/Turing_completeness

    Turing completeness is used as a way to express the power of such a data-manipulation rule set. Virtually all programming languages today are Turing-complete. [ a ] A related concept is that of Turing equivalence – two computers P and Q are called equivalent if P can simulate Q and Q can simulate P. [citation needed] The Church–Turing ...

  9. Alternating Turing machine - Wikipedia

    en.wikipedia.org/wiki/Alternating_Turing_machine

    e. In computational complexity theory, an alternating Turing machine (ATM) is a non-deterministic Turing machine (NTM) with a rule for accepting computations that generalizes the rules used in the definition of the complexity classes NP and co-NP. The concept of an ATM was set forth by Chandra and Stockmeyer [ 1 ] and independently by Kozen [ 2 ...