This time we are looking on the crossword puzzle clue for: Heap.
it’s A 4 letters crossword definition.
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Last seen on: –NY Times Crossword 7 Feb 23, Tuesday
–Vulture Tuesday, January 31, 2023 Crossword Answers
–The New Yorker Monday, January 30, 2023 Crossword Answers
–USA Today Crossword – Jan 23 2023
–USA Today Crossword – Jan 11 2023
–NY Times Crossword 31 Oct 22, Monday
–Eugene Sheffer – King Feature Syndicate Crossword – Oct 6 2022
–USA Today Crossword – Sep 12 2022
–Wall Street Journal Crossword – July 25 2022 – In the Vault
–The Telegraph – QUICK CROSSWORD NO: 30,022 – Jun 24 2022s
–Wall Street Journal Crossword – February 02 2022 – Positive Reinforcement
–Universal Crossword – Aug 7 2021
–Eugene Sheffer – King Feature Syndicate Crossword – Nov 16 2020
–Thomas Joseph – King Feature Syndicate Crossword – Sep 14 2020
–Universal Crossword – Sep 7 2020
–The Telegraph – QUICK CROSSWORD NO: 29,445 – Aug 18 2020
–Thomas Joseph – King Feature Syndicate Crossword – Apr 2 2020
–USA Today Crossword – Feb 29 2020
–USA Today Crossword – Dec 17 2019
Daily Celebrity Crossword – 10/13/19 People Sunday
Random information on the term “Heap”:
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.
Random information on the term “Pile”:
A pile bridge is a structure that uses foundations consisting of long poles (referred to as piles), which are made of wood, concrete or steel and which are hammered into the soft soils beneath the bridge until the end of the pile reaches a hard layer of compacted soil or rock. Piles in such cases are hammered to a depth where the grip or friction of the pile and the soil surrounding it will support the load of the bridge deck. Bridging solely using the pile method is nowadays a rare occurrence.
Pile bridges have been used to cross rivers and other geological chasms since at least the time of the Roman Empire. One such bridge was probably Pons Sublicius thought to have been first created around 642BC, although being made of wood; this bridge and none of the other Roman bridges of the period have survived the erosion of time.
During the English Middle Ages bridge building was a booming activity. Groups of piles, usually made of elm or oak were driven together into the soil. The pile hammer was a construction that allowed a heavy weight to fall on the top of the pile. Each pile wore a “pile shoe” tip made of iron. A group so hammered was called a “straddle” and atop as well as surrounding the straddle was a pile supported platform called a “starling” which was filled with rubble before the pier and bridge deck were added.