meaning of heap

1. A crowd; a throng; a multitude or great number of persons.
2. A great number or large quantity of things not placed in a pile.
3. A pile or mass; a collection of things laid in a body, or thrown together so as to form an elevation; as, a heap of earth or stones.
4. To collect in great quantity; to amass; to lay up; to accumulate; -- usually with up; as, to heap up treasures.
5. To throw or lay in a heap; to make a heap of; to pile; as, to heap stones; -- often with up; as, to heap up earth; or with on; as, to heap on wood or coal.
6. To form or round into a heap, as in measuring; to fill (a measure) more than even full.
7. heap 1. An area of memory used for dynamic memory allocation where blocks of memory are allocated and freed in an arbitrary order and the pattern of allocation and size of blocks is not known until run time. Typically, a program has one heap which it may use for several different purposes. Heap is required by languages in which functions can return arbitrary data structures or functions with free variables see closure. In C functions malloc and free provide access to the heap. Contrast stack. See also dangling pointer. 2. A data structure with its elements partially ordered sorted such that finding either the minimum or the maximum but not both of the elements is computationally inexpensive independent of the number of elements, while both adding a new item and finding each subsequent smallest/largest element can be done in Olog n time, where n is the number of elements. Formally, a heap is a binary tree with a key in each node, such that all the leaves of the tree are on two adjacent levels; all leaves on the lowest level occur to the left and all levels, except possibly the lowest, are filled; and the key in the root is at least as large as the keys in its children if any, and the left and right subtrees if they exist are again heaps. Note that the last condition assumes that the goal is finding the minimum quickly. Heaps are often implemented as one-dimensional arrays. Still assuming that the goal is finding the minimum quickly the invariant is heap[i] <= heap[2*i] and heap[i] <= heap[2*i+1] for all i, where heap[i] denotes the i-th element, heap[1] being the first. Heaps can be used to implement priority queues or in sort algorithms.
8. a car that is old and unreliable; "the fenders had fallen off that old ">bus"

Related Words

heap | heap up | heaped | heaped-up | heaper | heaping | heaps | heapy |

Developed & Maintained By Taraprasad.com