Search results
Results from the WOW.Com Content Network
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.
Example of a complete binary max-heap Example of a complete binary min heap. A binary heap is a heap data structure that takes the form of a binary tree.Binary heaps are a common way of implementing priority queues.
A min-max heap is a complete binary tree containing alternating min (or even) and max (or odd) levels. Even levels are for example 0, 2, 4, etc, and odd levels are respectively 1, 3, 5, etc. We assume in the next points that the root element is at the first level, i.e., 0. Example of Min-max heap
A heap is a tree data structure with ordered nodes where the min (or max) value is the root of the tree and all children are less than (or greater than) their parent nodes. Pages in category "Heaps (data structures)"
A treap with alphabetic key and numeric max heap order. The treap was first described by Raimund Seidel and Cecilia R. Aragon in 1989; [1] [2] its name is a portmanteau of tree and heap. It is a Cartesian tree in which each key is given a (randomly chosen) numeric priority.
The zip tree was introduced as a variant of random binary search tree by Robert Tarjan, Caleb Levy, and Stephen Timmel. [1] Zip trees are similar to max treaps except ranks are generated through a geometric distribution and maintain their max-heap property during insertions and deletions through unzipping and zipping rather than tree rotations.
create-heap(h): create an empty kinetic heap h; find-max(h, t) (or find-min): – return the max (or min for a min-heap) value stored in the heap h at the current virtual time t. insert(X, f X, t): – insert a key X into the kinetic heap at the current virtual time t, whose value changes as a continuous function f X (t) of time t.
The heap of a group may be generalized again to the case of a groupoid which has two objects A and B when viewed as a category. The elements of the heap may be identified with the morphisms from A to B, such that three morphisms x , y , z define a heap operation according to [ x , y , z ] = x y − 1 z . {\displaystyle [x,y,z]=xy^{-1}z.}