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Possible Answers: HEAP.
Last seen on: Irish Times Simplex – Dec 6 2018
Random information on the term “HEAP”:
In computer science, a heap is a specialized tree-based data structure which is essentially an almost complete[1] tree that satisfies the heap property: if P is a parent node of C, then the key (the value) of P is either greater than or equal to (in a max heap) or less than or equal to (in a min heap) the key of C.[2] The node at the “top” of the heap (with no parents) is called the root node.
The heap is one maximally efficient implementation of an abstract data type called a priority queue, and in fact priority queues are often referred to as “heaps”, regardless of how they may be implemented. A common implementation of a heap is the binary heap, in which the tree is a binary tree (see figure). The heap data structure, specifically the binary heap, was introduced by J. W. J. Williams in 1964, as a data structure for the heapsort sorting algorithm.[3] Heaps are also crucial in several efficient graph algorithms such as Dijkstra’s algorithm.
In a heap, the highest (or lowest) priority element is always stored at the root. A heap is not a sorted structure and can be regarded as partially ordered. When a heap is a complete binary tree, it has a smallest possible height—a heap with N nodes and for each node a branches always has loga N height. A heap is a useful data structure when you need to remove the object with the highest (or lowest) priority.