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  2. Inclusion–exclusion principle - Wikipedia

    en.wikipedia.org/wiki/Inclusion–exclusion...

    Venn diagram showing the union of sets A and B as everything not in white. In combinatorics, the inclusion–exclusion principle is a counting technique which generalizes the familiar method of obtaining the number of elements in the union of two finite sets; symbolically expressed as

  3. Venn diagram - Wikipedia

    en.wikipedia.org/wiki/Venn_diagram

    A Venn diagram is a widely used diagram style that shows the logical relation between sets, popularized by John Venn (1834–1923) in the 1880s. The diagrams are used to teach elementary set theory, and to illustrate simple set relationships in probability, logic, statistics, linguistics and computer science.

  4. Free list - Wikipedia

    en.wikipedia.org/wiki/Free_list

    This diagram represents five contiguous memory regions which each hold a pointer and a data block. The List Head points to the 2nd element, which points to the 5th, which points to the 3rd, thereby forming a linked list of available memory regions. A free list (or freelist) is a data structure used in a scheme for dynamic memory allocation.

  5. HackerRank - Wikipedia

    en.wikipedia.org/wiki/HackerRank

    [2] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [3] including database management, mathematics, and artificial intelligence. When a programmer submits a solution to a programming challenge, their submission is scored on the accuracy of their output.

  6. Information diagram - Wikipedia

    en.wikipedia.org/wiki/Information_diagram

    Venn diagram of information theoretic measures for three variables x, y, and z. Each circle represents an individual entropy : ⁠ H ( x ) {\displaystyle H(x)} ⁠ is the lower left circle, ⁠ H ( y ) {\displaystyle H(y)} ⁠ the lower right, and ⁠ H ( z ) {\displaystyle H(z)} ⁠ is the upper circle.

  7. Merge sort - Wikipedia

    en.wikipedia.org/wiki/Merge_sort

    If the running time (number of comparisons) of merge sort for a list of length n is T(n), then the recurrence relation T(n) = 2T(n/2) + n follows from the definition of the algorithm (apply the algorithm to two lists of half the size of the original list, and add the n steps taken to merge the resulting two lists). [5]

  8. File:Venn diagram showing Greek, Latin and Cyrillic letters.svg

    en.wikipedia.org/wiki/File:Venn_diagram_showing...

    Deutsch: Venn-Diagramm, das die Großbuchstaben des standardisierten griechischen, lateinischen und kyrillischen Alphabets und ihre Gemeinsamkeiten zeigt. Français : Diagramme de Venn montrant les majuscules de l’alphabet standard grec, latin et cyrillique et ses communautés.

  9. Merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Merge_algorithm

    Else, recursively merge the first ⌊k/2lists and the final ⌈k/2lists, then binary merge these. When the input lists to this algorithm are ordered by length, shortest first, it requires fewer than n ⌈log k ⌉ comparisons, i.e., less than half the number used by the heap-based algorithm; in practice, it may be about as fast or slow ...