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  2. Skip list - Wikipedia

    en.wikipedia.org/wiki/Skip_list

    On average, each element appears in / lists, and the tallest element (usually a special head element at the front of the skip list) appears in all the lists. The skip list contains / ⁡ (i.e. logarithm base / of ) lists. A search for a target element begins at the head element in the top list, and proceeds horizontally until the current ...

  3. Cycle sort - Wikipedia

    en.wikipedia.org/wiki/Cycle_sort

    To illustrate the idea of cycle sort, consider a list with distinct elements. Given an element x {\displaystyle x} , we can find the index at which it will occur in the sorted list by simply counting the number of elements in the entire list that are smaller than x {\displaystyle x} .

  4. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  5. Priority queue - Wikipedia

    en.wikipedia.org/wiki/Priority_queue

    pull() { highest = list.get_first_element() foreach node in list { if highest.priority < node.priority { highest = node } } list.remove(highest) return highest } In another case, one can keep all the elements in a priority sorted list ( O (n) insertion sort time), whenever the highest-priority element is requested, the first one in the list can ...

  6. Misra–Gries heavy hitters algorithm - Wikipedia

    en.wikipedia.org/wiki/Misra–Gries_heavy_hitters...

    Each heavy-hitter of b is an element of a k-reduced bag for b. The first pass of the heavy-hitters computation constructs a k-reduced bag t. The second pass declares an element of t to be a heavy-hitter if it occurs more than n ÷ k times in b. According to Theorem 1, this procedure determines all and only the heavy-hitters.

  7. Element distinctness problem - Wikipedia

    en.wikipedia.org/wiki/Element_distinctness_problem

    Elements that occur more than / times in a multiset of size may be found by a comparison-based algorithm, the Misra–Gries heavy hitters algorithm, in time (⁡). The element distinctness problem is a special case of this problem where k = n {\displaystyle k=n} .

  8. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    The Boyer–Moore algorithm searches for occurrences of P in T by performing explicit character comparisons at different alignments. Instead of a brute-force search of all alignments (of which there are ⁠ n − m + 1 {\displaystyle n-m+1} ⁠ ), Boyer–Moore uses information gained by preprocessing P to skip as many alignments as possible.

  9. Multiset - Wikipedia

    en.wikipedia.org/wiki/Multiset

    A multiset may be formally defined as an ordered pair (A, m) where A is the underlying set of the multiset, formed from its distinct elements, and : + is a function from A to the set of positive integers, giving the multiplicity – that is, the number of occurrences – of the element a in the multiset as the number m(a).