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  2. Priority queue - Wikipedia

    en.wikipedia.org/wiki/Priority_queue

    While priority queues are often implemented using heaps, they are conceptually distinct from heaps. A priority queue is an abstract data type like a list or a map; just as a list can be implemented with a linked list or with an array, a priority queue can be implemented with a heap or another method such as an ordered array.

  3. 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.

  4. Queue (abstract data type) - Wikipedia

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

    Fixed-length arrays are limited in capacity, but it is not true that items need to be copied towards the head of the queue. The simple trick of turning the array into a closed circle and letting the head and tail drift around endlessly in that circle makes it unnecessary to ever move items stored in the array.

  5. Monotone priority queue - Wikipedia

    en.wikipedia.org/wiki/Monotone_priority_queue

    For instance, the bucket queue is a simple priority queue data structure consisting of an array indexed by priority, where each array cell contains a bucket of items with that priority. An extract-min operation performs a sequential search for the first non-empty bucket and chooses an arbitrary item in that bucket.

  6. Bucket queue - Wikipedia

    en.wikipedia.org/wiki/Bucket_queue

    A bucket queue can handle elements with integer priorities in the range from 0 or 1 up to some known bound C, and operations that insert elements, change the priority of elements, or extract (find and remove) the element that has the minimum (or maximum) priority. It consists of an array A of container data structures; in most sources these ...

  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. 5 Phrases a Child Psychologist Is Begging Parents and ...

    www.aol.com/5-phrases-child-psychologist-begging...

    She adds that using the word “should” can unwittingly lead to feelings of shame, as if they should have already known and done better. Dr. Danda points to one alternative: “I have some ideas ...

  9. Category:Priority queues - Wikipedia

    en.wikipedia.org/wiki/Category:Priority_queues

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