Heaps

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Possible Answers:

A LOT.

Last seen on: –Wall Street Journal Crossword – January 25 2022 – Battle Ground
Universal Crossword – Jan 16 2022
Universal Crossword – Dec 6 2021
LA Times Crossword 22 Aug 21, Sunday
USA Today Crossword – Apr 19 2021
Thomas Joseph – King Feature Syndicate Crossword – Apr 5 2021
Premier Sunday – King Feature Syndicate Crossword – Mar 21 2021
USA Today Crossword – Feb 3 2021
LA Times Crossword 30 Oct 20, Friday
Wall Street Journal Crossword – March 16 2020 – Battery Included
The Washington Post Crossword – Mar 1 2020
LA Times Crossword 1 Mar 20, Sunday
NY Times Crossword 27 Oct 19, Sunday
NY Times Crossword 17 Sep 19, Tuesday
NY Times Crossword 8 Sep 19, Sunday
LA Times Crossword 14 Jul 19, Sunday

Random information on the term “Heaps”:

In computer science, a heap is a specialized tree-based data structure which is essentially an almost complete tree that satisfies the heap property: in a max heap, for any given node C, if P is a parent node of C, then the key (the value) of P is greater than or equal to the key of C. In a min heap, the key of P is less than or equal to the key of C. 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. In a heap, the highest (or lowest) priority element is always stored at the root. However, a heap is not a sorted structure; it can be regarded as being partially ordered. A heap is a useful data structure when it is necessary to repeatedly remove the object with the highest (or lowest) priority.

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. Heaps are also crucial in several efficient graph algorithms such as Dijkstra’s algorithm. 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.

Heaps on Wikipedia