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A heap is a tree-based data structure that satisfies the heap property: in a max heap, the parent node is greater than or equal to the child node, and vice versa for a min heap. Learn about the operations, implementation, and variants of heaps, such as binary heaps, 2–3 heaps, and B-heaps.
A binomial heap is a data structure that acts as a priority queue and supports merging two heaps in logarithmic time. It is implemented as a set of binomial trees, which are defined recursively and have a special shape based on binary coefficients.
Heapsort is an in-place algorithm that divides its input into a sorted and an unsorted region, and iteratively shrinks the unsorted region by extracting the largest element from it and inserting it into the sorted region. It uses a binary heap data structure to efficiently find the largest element in each step, and has a worst-case runtime of O (n log n).
A binary heap is a complete binary tree that satisfies the heap property: the key in each node is either greater than or equal to (max-heap) or less than or equal to (min-heap) the keys in the node's children. Learn how to insert, extract, decrease-key and merge elements in a binary heap with O (log n) time complexity.
A min-max heap is a binary tree data structure that combines the features of a min-heap and a max-heap. It can support constant time retrieval and logarithmic time removal of both the minimum and maximum elements, and can be used for double-ended priority queues and order-statistics operations.
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 data structure is a data organization and storage format that is usually chosen for efficient access to data. Learn about different types of data structures, such as arrays, lists, graphs, trees, and hash tables, and how they are implemented and used in computer science.
In computer science, a double-ended priority queue (DEPQ) [1] or double-ended heap [2] is a data structure similar to a priority queue or heap, but allows for efficient removal of both the maximum and minimum, according to some ordering on the keys (items) stored in the structure. Every element in a DEPQ has a priority or value.