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  2. Algorithm - Wikipedia

    en.wikipedia.org/wiki/Algorithm

    For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. As an effective method , an algorithm can be expressed within a finite amount of space and time [ 3 ] and in a well-defined formal language [ 4 ] for calculating a function . [ 5 ]

  3. 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 ...

  4. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    The algorithm described so far only gives the length of the shortest path. To find the actual sequence of steps, the algorithm can be easily revised so that each node on the path keeps track of its predecessor. After this algorithm is run, the ending node will point to its predecessor, and so on, until some node's predecessor is the start node.

  5. Spectral method - Wikipedia

    en.wikipedia.org/wiki/Spectral_method

    Compute the Fourier transform (b j,k) of g.Compute the Fourier transform (a j,k) of f via the formula ().Compute f by taking an inverse Fourier transform of (a j,k).; Since we're only interested in a finite window of frequencies (of size n, say) this can be done using a fast Fourier transform algorithm.

  6. Unit propagation - Wikipedia

    en.wikipedia.org/wiki/Unit_propagation

    In the example above, the unit clause would be added to the partial model; the simplification of the set of clauses would then proceed as above with the difference that the unit clause is now removed from the set. The resulting set of clauses is equivalent to the original one under the assumption of validity of the literals in the partial model.

  7. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    In implementation, the algorithm involves no parameter except for the stopping criterion in terminating the iterations. By iteratively applying the Otsu’s method and gradually shrinking the TBD region for segmentation, the algorithm can obtain a result that preserves weak objects better than the standard Otsu’s method does.

  8. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    Function calls and blocks of code, such as code contained within a loop, are often replaced by a one-line natural language sentence. Depending on the writer, pseudocode may therefore vary widely in style, from a near-exact imitation of a real programming language at one extreme, to a description approaching formatted prose at the other.

  9. Secant method - Wikipedia

    en.wikipedia.org/wiki/Secant_method

    The red curve shows the function f, and the blue lines are the secants. For this particular case, the secant method will not converge to the visible root. In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f.