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Heap - Heap applications | | Heap - Heap applications: Encyclopedia II - Heap - Heap applications | | Heaps are favourite data structures for many applications.
Heap sort: One of the best sorting methods being in-place and with no quadratic worst case scenarios.
Selection algorithms: Finding the min, max or both of them, median or even any kth element in sublinear time can be done dynamically with heaps.
Graph algorithms: By using heaps as internal traversal data structures, run time will be reduced by an order of polynomial.
One more advantage of heap over tree in some applications is construction of heap can be don ...
See also:Heap, Heap - Variants, Heap - Comparison of theoretic bounds for variants, Heap - Heap applications | | | Heap, Heap - Comparison of theoretic bounds for variants, Heap - Heap applications, Heap - Variants, Heaps at Wikiversity, Heaps at wikibooks | | |
| | | Heap: Encyclopedia II - Heap - Heap applications
Heap - Heap applications
Heaps are favourite data structures for many applications.
- Heap sort: One of the best sorting methods being in-place and with no quadratic worst case scenarios.
- Selection algorithms: Finding the min, max or both of them, median or even any kth element in sublinear time can be done dynamically with heaps.
- Graph algorithms: By using heaps as internal traversal data structures, run time will be reduced by an order of polynomial.
One more advantage of heap over tree in some applications is construction of heap can be done in linear time using Tarjan's algorithm.
Other related archives2-3 heap, Beap, Binary heap, Binomial heap, Fibonacci heap, Graph algorithms, Heap sort, Leftist heap, Pairing heap, Selection algorithms, Skew heap, Soft heap, Treap, algorithms, child, computer science, data structure, graph, heap (programming), heapsort, ordered set, pairing heaps, priority queues, tree
 Adapted from the Wikipedia article "Heap applications", under the G.N U Free Docmentation License. Please also see http://en.wikipedia.org/wiki |
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