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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.
meld: joining two heaps to form a valid new heap containing all the elements of both, destroying the original heaps. Here are time complexities [5] of various heap data structures. The abbreviation am. indicates that the given complexity is amortized, otherwise it is a worst-case complexity. For the meaning of "O(f)" and "Θ(f)" see Big O ...
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
A beap, or bi-parental heap, is a data structure for a set (or map, or multiset or multimap) that enables elements (or mappings) to be located, inserted, or deleted in sublinear time. In a beap, each element is stored in a node with up to two parents and up to two children, with the property that the value of a parent node is never greater than ...
A pairing heap is either an empty heap, or a pairing tree consisting of a root element and a possibly empty list of pairing trees. The heap ordering property requires that parent of any node is no greater than the node itself. The following description assumes a purely functional heap that does not support the decrease-key operation.
A mergeable heap supports the usual heap operations: [1] Make-Heap(), create an empty heap. Insert(H,x), insert an element x into the heap H. Min(H), return the minimum element, or Nil if no such element exists. Extract-Min(H), extract and return the minimum element, or Nil if no such element exists. And one more that distinguishes it: [1]
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 [,,] =.