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  2. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    This makes the min-max heap a very useful data structure to implement a double-ended priority queue. Like binary min-heaps and max-heaps, min-max heaps support logarithmic insertion and deletion and can be built in linear time. [3] Min-max heaps are often represented implicitly in an array; [4] hence it's referred to as an implicit data structure.

  3. Priority queue - Wikipedia

    en.wikipedia.org/wiki/Priority_queue

    C++ reference for std::priority_queue; Descriptions by Lee Killough; libpqueue is a generic priority queue (heap) implementation (in C) used by the Apache HTTP Server project. Survey of known priority queue structures by Stefan Xenos; UC Berkeley - Computer Science 61B - Lecture 24: Priority Queues (video) - introduction to priority queues ...

  4. Heap (data structure) - Wikipedia

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

    Priority queue: A priority queue is an abstract concept like "a list" or "a map"; just as a list can be implemented with a linked list or an array, a priority queue can be implemented with a heap or a variety of other methods. K-way merge: A heap data structure is useful to merge many already-sorted input streams into a single sorted output ...

  5. Pairing heap - Wikipedia

    en.wikipedia.org/wiki/Pairing_heap

    Chen et al. [11] examined priority queues specifically for use with Dijkstra's algorithm and concluded that in normal cases using a d-ary heap without decrease-key (instead duplicating nodes on the heap and ignoring redundant instances) resulted in better performance, despite the inferior theoretical performance guarantees.

  6. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    Example of a complete binary max-heap Example of a complete binary min heap. A binary heap is a heap data structure that takes the form of a binary tree.Binary heaps are a common way of implementing priority queues.

  7. Leftist tree - Wikipedia

    en.wikipedia.org/wiki/Leftist_tree

    To initialize a min HBLT, place each element to be added to the tree into a queue. In the example (see Part 1 to the left), the set of numbers [4, 8, 10, 9, 1, 3, 5, 6, 11] are initialized. Each line of the diagram represents another cycle of the algorithm, depicting the contents of the queue. The first five steps are easy to follow.

  8. Monotone priority queue - Wikipedia

    en.wikipedia.org/wiki/Monotone_priority_queue

    In computer science, a monotone priority queue is a variant of the priority queue abstract data type in which the priorities of extracted items are required to form a monotonic sequence. That is, for a priority queue in which each successively extracted item is the one with the minimum priority (a min-heap), the minimum priority should be ...

  9. Binomial heap - Wikipedia

    en.wikipedia.org/wiki/Binomial_heap

    In computer science, a binomial heap is a data structure that acts as a priority queue.It is an example of a mergeable heap (also called meldable heap), as it supports merging two heaps in logarithmic time.