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  2. Queue (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Queue_(abstract_data_type)

    The operations of a queue make it a first-in-first-out (FIFO) data structure. In a FIFO data structure, the first element added to the queue will be the first one to be removed. This is equivalent to the requirement that once a new element is added, all elements that were added before have to be removed before the new element can be removed.

  3. Double-ended priority queue - Wikipedia

    en.wikipedia.org/wiki/Double-ended_priority_queue

    A dual structure with 14,12,4,10,8 as the members of DEPQ. [1] In this method two different priority queues for min and max are maintained. The same elements in both the PQs are shown with the help of correspondence pointers. Here, the minimum and maximum elements are values contained in the root nodes of min heap and max heap respectively.

  4. Double-ended queue - Wikipedia

    en.wikipedia.org/wiki/Double-ended_queue

    Double-ended queues can also be implemented as a purely functional data structure. [3]: 115 Two versions of the implementation exist. The first one, called 'real-time deque, is presented below. It allows the queue to be persistent with operations in O(1) worst-case time, but requires lazy lists with memoization. The second one, with no lazy ...

  5. Bucket queue - Wikipedia

    en.wikipedia.org/wiki/Bucket_queue

    A bucket queue is a data structure that implements the priority queue abstract data type: it maintains a dynamic collection of elements with numerical priorities and allows quick access to the element with minimum (or maximum) priority.

  6. Priority queue - Wikipedia

    en.wikipedia.org/wiki/Priority_queue

    A priority queue is often considered to be a "container data structure". The Standard Template Library (STL), and the C++ 1998 standard, specifies std::priority_queue as one of the STL container adaptor class templates .

  7. 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.

  8. 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.

  9. Fibonacci heap - Wikipedia

    en.wikipedia.org/wiki/Fibonacci_heap

    In computer science, a Fibonacci heap is a data structure for priority queue operations, consisting of a collection of heap-ordered trees.It has a better amortized running time than many other priority queue data structures including the binary heap and binomial heap.