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  2. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    This algorithm, an example of bottom-up dynamic programming, is discussed, with variants, in the 1974 article The String-to-string correction problem by Robert A. Wagner and Michael J. Fischer. [ 4 ] This is a straightforward pseudocode implementation for a function LevenshteinDistance that takes two strings, s of length m , and t of length n ...

  3. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    Optimal string alignment distance can be computed using a straightforward extension of the Wagner–Fischer dynamic programming algorithm that computes Levenshtein distance. In pseudocode: algorithm OSA-distance is input: strings a[1..length(a)], b[1..length(b)] output: distance, integer let d[0..length(a), 0..length(b)] be a 2-d array of ...

  4. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    Dijkstra's algorithm (/ ˈ d aɪ k s t r ə z / DYKE-strəz) is an algorithm for finding the shortest paths between nodes in a weighted graph, which may represent, for example, a road network. It was conceived by computer scientist Edsger W. Dijkstra in 1956 and published three years later.

  5. Distance-vector routing protocol - Wikipedia

    en.wikipedia.org/wiki/Distance-vector_routing...

    Distance-vector routing protocols use the Bellman–Ford algorithm.In these protocols, each router does not possess information about the full network topology.It advertises its distance value (DV) calculated to other routers and receives similar advertisements from other routers unless changes are done in the local network or by neighbours (routers).

  6. Distance matrix - Wikipedia

    en.wikipedia.org/wiki/Distance_matrix

    Distance-matrix methods may produce either rooted or unrooted trees, depending on the algorithm used to calculate them. [4] Given n species, the input is an n × n distance matrix M where M ij is the mutation distance between species i and j. The aim is to output a tree of degree 3 which is consistent with the distance matrix.

  7. Bellman–Ford algorithm - Wikipedia

    en.wikipedia.org/wiki/Bellman–Ford_algorithm

    A distributed variant of the Bellman–Ford algorithm is used in distance-vector routing protocols, for example the Routing Information Protocol (RIP). The algorithm is distributed because it involves a number of nodes (routers) within an Autonomous system (AS), a collection of IP networks typically owned by an ISP. It consists of the following ...

  8. Destination-Sequenced Distance Vector routing - Wikipedia

    en.wikipedia.org/wiki/Destination-Sequenced...

    Destination-Sequenced Distance-Vector Routing (DSDV) is a table-driven routing scheme for ad hoc mobile networks based on the Bellman–Ford algorithm. It was developed by C. Perkins and P. Bhagwat in 1994. The main contribution of the algorithm was to solve the routing loop problem. Each entry in the routing table contains a sequence number ...

  9. Wagner–Fischer algorithm - Wikipedia

    en.wikipedia.org/wiki/Wagner–Fischer_algorithm

    The Wagner–Fischer algorithm computes edit distance based on the observation that if we reserve a matrix to hold the edit distances between all prefixes of the first string and all prefixes of the second, then we can compute the values in the matrix by flood filling the matrix, and thus find the distance between the two full strings as the last value computed.