NIST

binary heap

(data structure)

Definition: A complete binary tree where every node has a key more extreme (greater or less) than or equal to the key of its parent.

Generalization (I am a kind of ...)
complete binary tree, heap, k-ary heap with k=2.

Specialization (... is a kind of me.)
treap.

Aggregate parent (I am a part of or used in ...)
build-heap, heapify, heapsort, priority queue.

Aggregate child (... is a part of or used in me.)
array.

See also Fibonacci heap, binomial heap.

Note: Insertion is O(log2 n) where n is the number of nodes. A binary heap can be efficiently implemented as an array, where a node at index i has children at indexes 2i and 2i+1 and a parent at index i/2, with 1-based indexing. If a child index is greater than the number of nodes, the child does not exist.

The above implementation is inefficient with virtual memories because (almost) every level is in a different page. B-heaps allocate subtrees to a single page for better virtual memory performance.

Merging two binary heaps is O(n): the best you can do is just concatenate two heap arrays and make a heap of the result. Two binomial heaps can be merged in O(ln n). Two Fibonacci heaps can be merged in Θ(1).

Author: CLK

Implementation

delete (C) and insert (C and Pascal) both of which use the auxiliary function siftup (C and Pascal), explanation, examples, and code (C). (Fortran).

More information


"... you just KNOW Billy's going to open the root present first, and then everyone will have to wait while the heap is rebuilt."
From xkcd 835 by Randall Munroe. Creative Commons Attribution-NonCommercial 2.5 License.


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Entry modified 5 December 2016.
HTML page formatted Tue Jan 16 10:34:44 2018.

Cite this as:
Chris L. Kuszmaul, "binary heap", in Dictionary of Algorithms and Data Structures [online], Vreda Pieterse and Paul E. Black, eds. 5 December 2016. (accessed TODAY) Available from: https://www.nist.gov/dads/HTML/binaryheap.html