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  2. 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 ...

  3. 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.

  4. 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.

  5. Standard Template Library - Wikipedia

    en.wikipedia.org/wiki/Standard_Template_Library

    priority queue: Provides priority queue interface in terms of push / pop / top operations (the element with the highest priority is on top). Any random-access sequence supporting operations front (), push_back (), and pop_back can be used to instantiate priority_queue (e.g. vector and deque). It is implemented using a heap.

  6. Java collections framework - Wikipedia

    en.wikipedia.org/wiki/Java_collections_framework

    The java.util.PriorityQueue class implements java.util.Queue, but also alters it. [18] PriorityQueue has an additional comparator() method. [ 18 ] Instead of elements being ordered in the order in which they are inserted, they are ordered by priority.

  7. d-ary heap - Wikipedia

    en.wikipedia.org/wiki/D-ary_heap

    The d-ary heap consists of an array of n items, each of which has a priority associated with it. These items may be viewed as the nodes in a complete d-ary tree, listed in breadth first traversal order: the item at position 0 of the array (using zero-based numbering) forms the root of the tree, the items at positions 1 through d are its children, the next d 2 items are its grandchildren, etc.

  8. Peek (data type operation) - Wikipedia

    en.wikipedia.org/wiki/Peek_(data_type_operation)

    Priority queue (such as a heap) Double-ended queue (deque) Double-ended priority queue (DEPQ) Single-ended types, such as stack, generally only admit a single peek, at the end that is modified. Double-ended types, such as deques, admit two peeks, one at each end. Names for peek vary. "Peek" or "top" are common for stacks, while for queues ...

  9. 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.