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  2. Heap (data structure) - Wikipedia

    en.wikipedia.org/wiki/Heap_(data_structure)

    In computer science, a heap is a tree -based data structure that satisfies the heap property: In a max heap, for any given node C, if P is a parent node of C, then the key (the value) of P is greater than or equal to the key of C. In a min heap, the key of P is less than or equal to the key of C. [1] The node at the "top" of the heap (with no ...

  3. Double-ended priority queue - Wikipedia

    en.wikipedia.org/wiki/Double-ended_priority_queue

    In computer science, a double-ended priority queue (DEPQ)[1] or double-ended heap[2] is a data structure similar to a priority queue or heap, but allows for efficient removal of both the maximum and minimum, according to some ordering on the keys (items) stored in the structure. Every element in a DEPQ has a priority or value.

  4. Pairing heap - Wikipedia

    en.wikipedia.org/wiki/Pairing_heap

    delete-min: remove the root and do repeated melds of its subtrees until one tree remains. Various merging strategies are employed. The analysis of pairing heaps' time complexity was initially inspired by that of splay trees. [1] The amortized time per delete-min is O(log n), and the operations find-min, meld, and insert run in O(1) time. [3]

  5. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    A min-max heap is a complete binary tree containing alternating min (or even) and max (or odd) levels. Even levels are for example 0, 2, 4, etc, and odd levels are respectively 1, 3, 5, etc. We assume in the next points that the root element is at the first level, i.e., 0. Example of Min-max heap.

  6. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    Also, when implemented with the "shortest first" policy, the worst-case space complexity is instead bounded by O(log(n)). Heapsort has O(n) time when all elements are the same. Heapify takes O(n) time and then removing elements from the heap is O(1) time for each of the n elements. The run time grows to O(nlog(n)) if all elements must be distinct.

  7. Double-ended queue - Wikipedia

    en.wikipedia.org/wiki/Double-ended_queue

    Double-ended queue. In computer science, a double-ended queue (abbreviated to deque, / dɛk / DEK[1]) is an abstract data type that generalizes a queue, for which elements can be added to or removed from either the front (head) or back (tail). [2] It is also often called a head-tail linked list, though properly this refers to a specific data ...

  8. Brodal queue - Wikipedia

    en.wikipedia.org/wiki/Brodal_queue

    Brodal queue. In computer science, the Brodal queue is a heap / priority queue structure with very low worst case time bounds: for insertion, find-minimum, meld (merge two queues) and decrease-key and for delete-minimum and general deletion. They are the first heap variant to achieve these bounds without resorting to amortization of operational ...

  9. Adaptive heap sort - Wikipedia

    en.wikipedia.org/wiki/Adaptive_heap_sort

    Adaptive heap sort is a variant of heap sort that seeks optimality (asymptotically optimal) with respect to the lower bound derived with the measure of presortedness by taking advantage of the existing order in the data. In heap sort, for a data , we put all n elements into the heap and then keep extracting the maximum (or minimum) for n times.