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  2. Merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Merge_algorithm

    In the merge sort algorithm, this subroutine is typically used to merge two sub-arrays A[lo..mid], A[mid+1..hi] of a single array A. This can be done by copying the sub-arrays into a temporary array, then applying the merge algorithm above. [1] The allocation of a temporary array can be avoided, but at the expense of speed and programming ease.

  3. Sort-merge join - Wikipedia

    en.wikipedia.org/wiki/Sort-merge_join

    The sort-merge join (also known as merge join) is a join algorithm and is used in the implementation of a relational database management system. The basic problem of a join algorithm is to find, for each distinct value of the join attribute, the set of tuples in each relation which display that value. The key idea of the sort-merge algorithm is ...

  4. k-way merge algorithm - Wikipedia

    en.wikipedia.org/wiki/K-way_merge_algorithm

    Suppose that such an algorithm existed, then we could construct a comparison-based sorting algorithm with running time O(n f(n)) as follows: Chop the input array into n arrays of size 1. Merge these n arrays with the k-way merge algorithm. The resulting array is sorted and the algorithm has a running time in O(n f(n)).

  5. Merge sort - Wikipedia

    en.wikipedia.org/wiki/Merge_sort

    In computer science, merge sort (also commonly spelled as mergesort and as merge-sort [2]) is an efficient, general-purpose, and comparison-based sorting algorithm.Most implementations produce a stable sort, which means that the relative order of equal elements is the same in the input and output.

  6. Nested loop join - Wikipedia

    en.wikipedia.org/wiki/Nested_loop_join

    Two relations and are joined as follows: algorithm nested_loop_join is for each tuple r in R do for each tuple s in S do if r and s satisfy the join condition then yield tuple < r , s > This algorithm will involve n r *b s + b r block transfers and n r +b r seeks, where b r and b s are number of blocks in relations R and S respectively, and n r ...

  7. Bitonic sorter - Wikipedia

    en.wikipedia.org/wiki/Bitonic_sorter

    Bitonic mergesort is a parallel algorithm for sorting. It is also used as a construction method for building a sorting network.The algorithm was devised by Ken Batcher.The resulting sorting networks consist of (⁡ ()) comparators and have a delay of (⁡ ()), where is the number of items to be sorted. [1]

  8. Merge-insertion sort - Wikipedia

    en.wikipedia.org/wiki/Merge-insertion_sort

    Then, is inserted into some permutation of the three-element subsequence (,,), or in some cases into the two-element subsequence (,). Similarly, the elements y 6 {\displaystyle y_{6}} and y 5 {\displaystyle y_{5}} of the second group are each inserted into a subsequence of length at most seven, using three comparisons.

  9. Join-pattern - Wikipedia

    en.wikipedia.org/wiki/Join-pattern

    So in the join-calculus, the basic values are the names like on the example is A,B or C. So the two compiler representing this values with two ways. Join compiler use a vector with Two slots, the first to the name it-self and the second to a queue of pending messages. Jocaml use name like a pointer on definitions.