36. Priority queues and heaps - Part A
The chapter discusses the implementation of priority queues and heaps, essential data structures for managing jobs with varying priorities within a scheduling system. It introduces the concept of a priority queue, explains the operations involved, and highlights the advantages of implementing heaps for more efficient processing times. Through the exploration of heaps as binary trees, the chapter details their structural and functional properties that allow for efficient insertion and maximum deletion operations.
Sections
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What we have learnt
- A priority queue selects jobs based on priority rather than arrival time.
- Heaps are a special kind of binary tree that maintains a balanced structure for efficient operations.
- The two main operations in priority queues are insertion and deletion of maximum elements, both of which can be optimized using heaps.
Key Concepts
- -- Priority Queue
- A data structure that selects the next job to execute based on priority rather than the order of arrival.
- -- Heap
- A type of binary tree used to implement priority queues that maintains a specific structural and value-based property.
- -- Max Heap Property
- A property of a heap where each parent node has a value greater than or equal to its child nodes.
- -- Binary Tree
- A data structure consisting of nodes, where each node has up to two children, often used to model hierarchical relationships.
Additional Learning Materials
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