This **crossword clue** is for the definition: *Pile.*

it’s A 4 letters **crossword puzzle definition**.

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## Possible Answers: **HEAP**.

Last seen on: LA Times Crossword 2 Nov 18, Friday

### 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.[1]

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.[1]

### Random information on the term “HEAP”:

In computer science, a heap is a specialized tree-based data structure 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.[1] 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.[2] 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. As visible from the heap-diagram, there is no particular relationship among nodes on any given level, even among the siblings. When a heap is a complete binary tree, it has a smallest possible heightâ€”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.