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  2. Knuth's Algorithm X - Wikipedia

    en.wikipedia.org/wiki/Knuth's_Algorithm_X

    Knuth showed that Algorithm X can be implemented efficiently on a computer using dancing links in a process Knuth calls "DLX". DLX uses the matrix representation of the exact cover problem, implemented as doubly linked lists of the 1s of the matrix: each 1 element has a link to the next 1 above, below, to the left, and to the right of itself.

  3. Nondeterministic algorithm - Wikipedia

    en.wikipedia.org/wiki/Nondeterministic_algorithm

    For these models, a nondeterministic algorithm is considered to perform correctly when, for each input, there exists a run that produces the desired result, even when other runs produce incorrect results. This existential power makes nondeterministic algorithms of this sort more efficient than known deterministic algorithms for many problems.

  4. Comparison of parser generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_parser...

    Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression. In particular, a regular language can match constructs like "A follows B", "Either A or B ...

  5. Nondeterministic Turing machine - Wikipedia

    en.wikipedia.org/wiki/Nondeterministic_Turing...

    In contrast to a deterministic Turing machine, in a nondeterministic Turing machine (NTM) the set of rules may prescribe more than one action to be performed for any given situation. For example, an X on the tape in state 3 might allow the NTM to: Write a Y, move right, and switch to state 5; or. Write an X, move left, and stay in state 3.

  6. Nondeterministic programming - Wikipedia

    en.wikipedia.org/wiki/Nondeterministic_programming

    A nondeterministic programming language is a language which can specify, at certain points in the program (called "choice points"), various alternatives for program flow. ...

  7. UP (complexity) - Wikipedia

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

    In complexity theory, UP (unambiguous non-deterministic polynomial-time) is the complexity class of decision problems solvable in polynomial time on an unambiguous Turing machine with at most one accepting path for each input. UP contains P and is contained in NP.

  8. Deterministic algorithm - Wikipedia

    en.wikipedia.org/wiki/Deterministic_algorithm

    Deterministic algorithms are by far the most studied and familiar kind of algorithm, as well as one of the most practical, since they can be run on real machines efficiently. Formally, a deterministic algorithm computes a mathematical function ; a function has a unique value for any input in its domain , and the algorithm is a process that ...

  9. Thompson's construction - Wikipedia

    en.wikipedia.org/wiki/Thompson's_construction

    In computer science, Thompson's construction algorithm, also called the McNaughton–Yamada–Thompson algorithm, [1] is a method of transforming a regular expression into an equivalent nondeterministic finite automaton (NFA). [2] This NFA can be used to match strings against the regular expression. This algorithm is credited to Ken Thompson.