Heap implementation - PowerPoint PPT Presentation

Tables and Priority Queues

Tables and Priority Queues. Chapter 11. The ADT Table. Selecting an Implementation. A Sorted Array-Based Implementation of the ADT Table. A Binary Search Tree Implementation of the ADT Table. The ADT Priority Queue: A Variation of the ADT Table. Heaps

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4.5 Dijkstra’s Algorithm

4.5 Dijkstra’s Algorithm. Arc lengths nonnegative. Use two types of node distance labels d(i): S: nodes with permanent labels. S : nodes with temporary labels. S S = N, S S =  Permanent label: true shortest distance

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Heaps

Heaps. COP 3502. Binary Heaps. Binary heaps are used for two purposes: Priority Queues Heap sort. Binary Heaps. Priority Queue A priority queue is where you always extract the item with the highest priority next. Priority Queue Example

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