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  2. Pancake sorting - Wikipedia

    en.wikipedia.org/wiki/Pancake_sorting

    The simplest pancake sorting algorithm performs at most 2n − 3 flips. In this algorithm, a kind of selection sort , we bring the largest pancake not yet sorted to the top with one flip; take it down to its final position with one more flip; and repeat this process for the remaining pancakes.

  3. Method of Four Russians - Wikipedia

    en.wikipedia.org/wiki/Method_of_Four_Russians

    Algorithms to which the Method of Four Russians may be applied include: computing the transitive closure of a graph, Boolean matrix multiplication, edit distance calculation, sequence alignment, index calculation for binary jumbled pattern matching. In each of these cases it speeds up the algorithm by one or two logarithmic factors.

  4. File:Example 4.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Example_4.pdf

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  5. Delaunay triangulation - Wikipedia

    en.wikipedia.org/wiki/Delaunay_triangulation

    A divide and conquer paradigm to performing a triangulation in d dimensions is presented in "DeWall: A fast divide and conquer Delaunay triangulation algorithm in E d" by P. Cignoni, C. Montani, R. Scopigno. [18] The divide and conquer algorithm has been shown to be the fastest DT generation technique sequentially. [19] [20]

  6. Algorithm characterizations - Wikipedia

    en.wikipedia.org/wiki/Algorithm_characterizations

    For examples of this specification-method applied to the addition algorithm "m+n" see Algorithm examples. An example in Boolos-Burgess-Jeffrey (2002) (pp. 31–32) demonstrates the precision required in a complete specification of an algorithm, in this case to add two numbers: m+n. It is similar to the Stone requirements above.

  7. Hamming (7,4) - Wikipedia

    en.wikipedia.org/wiki/Hamming(7,4)

    Hamming's (7,4) algorithm can correct any single-bit error, or detect all single-bit and two-bit errors. In other words, the minimal Hamming distance between any two correct codewords is 3, and received words can be correctly decoded if they are at a distance of at most one from the codeword that was transmitted by the sender.

  8. Iterator pattern - Wikipedia

    en.wikipedia.org/wiki/Iterator_pattern

    The iterator pattern decouples algorithms from containers; in some cases, algorithms are necessarily container-specific and thus cannot be decoupled. For example, the hypothetical algorithm SearchForElement can be implemented generally using a specified type of iterator rather than implementing it as a container-specific algorithm.

  9. Sethi–Ullman algorithm - Wikipedia

    en.wikipedia.org/wiki/Sethi–Ullman_algorithm

    The simple Sethi–Ullman algorithm works as follows (for a load/store architecture): . Traverse the abstract syntax tree in pre- or postorder . For every leaf node, if it is a non-constant left-child, assign a 1 (i.e. 1 register is needed to hold the variable/field/etc.), otherwise assign a 0 (it is a non-constant right child or constant leaf node (RHS of an operation – literals, values)).