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  2. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    Pseudocode is commonly used in textbooks and scientific publications related to computer science and numerical computation to describe algorithms in a way that is accessible to programmers regardless of their familiarity with specific programming languages. Textbooks often include an introduction explaining the conventions in use, and the ...

  3. Category:Articles with example pseudocode - Wikipedia

    en.wikipedia.org/wiki/Category:Articles_with...

    Banker's algorithm; Bellman–Ford algorithm; Biconjugate gradient stabilized method; Biconnected component; Binary search; Bisection method; Bitwise operation; Block sort; Blowfish (cipher) Borůvka's algorithm; Braess's paradox; Brandes' algorithm; Bresenham's line algorithm; Bron–Kerbosch algorithm; Bubble sort; Bucket sort; Burning Ship ...

  4. Samplesort - Wikipedia

    en.wikipedia.org/wiki/Samplesort

    The following listing shows the above mentioned three step algorithm as pseudocode and shows how the algorithm works in principle. [5] In the following, A is the unsorted data, k is the oversampling factor, discussed later, and p is the number of splitters.

  5. 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 ...

  6. Random sample consensus - Wikipedia

    en.wikipedia.org/wiki/Random_sample_consensus

    A simple example is fitting a line in two dimensions to a set of observations. Assuming that this set contains both inliers, i.e., points which approximately can be fitted to a line, and outliers, points which cannot be fitted to this line, a simple least squares method for line fitting will generally produce a line with a bad fit to the data including inliers and outliers.

  7. Insertion sort - Wikipedia

    en.wikipedia.org/wiki/Insertion_sort

    Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time by comparisons. It is much less efficient on large lists than more advanced algorithms such as quicksort, heapsort, or merge sort. However, insertion sort provides several advantages:

  8. Sieve of Eratosthenes - Wikipedia

    en.wikipedia.org/wiki/Sieve_of_Eratosthenes

    Here the example is shown starting from odds, after the first step of the algorithm. Thus, on the k th step all the remaining multiples of the k th prime are removed from the list, which will thereafter contain only numbers coprime with the first k primes (cf. wheel factorization ), so that the list will start with the next prime, and all the ...

  9. Gerchberg–Saxton algorithm - Wikipedia

    en.wikipedia.org/wiki/Gerchberg–Saxton_algorithm

    The pseudocode below performs the GS algorithm to obtain a phase distribution for the plane "Source", such that its Fourier transform would have the amplitude distribution of the plane "Target". The Gerchberg-Saxton algorithm is one of the most prevalent methods used to create computer-generated holograms. [2]