✳flâneur — a map of the web's best reading

Heap (data structure) - Wikipedia

en.wikipedia.org · 3,824 words · saved by 1 readers

In computer science, a heap is a tree-based data structure 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.[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. 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, or when insertions need to be interspersed with removals of the root node. A common implementation of a heap is the bi

Heap (data structure) - Wikipedia Jump to content From Wikipedia, the free encyclopedia Computer science data structure For the memory heap in low-level computer programming, see C dynamic memory allocation . Example of a binary max-heap with node keys being integers between 1 and 100 In computer science , a heap is a tree -based data structure that satisfies the heap property : In a max heap , for any given node C, if P is the 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. [ 1 ] The

Explore this link on the map →

related reading