8. Priority Queues
The chapter discusses priority queues and their implementation, highlighting their importance in algorithms like Dijkstra's and Prim's. It explores different data structures for maintaining a list of jobs with priorities, comparing linear and two-dimensional structures. A significant focus is given to the efficiency of insert and delete operations, leading to the introduction of more advanced structures like heaps.
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What we have learnt
- Priority queues manage jobs based on their priorities efficiently.
- Both insertion and deletion operations must be optimized for real-time job scheduling.
- Two-dimensional structures can substantially improve the efficiency of basic operations compared to linear structures.
Key Concepts
- -- Priority Queue
- A data structure that manages a list of jobs based on their priority, allowing for dynamic updates as new tasks arrive.
- -- Insert Operation
- The process of adding a new job with an associated priority to the priority queue.
- -- Delete Max Operation
- The process of removing the job with the highest priority from the priority queue.
- -- Heap
- A special type of binary tree structure used to implement a priority queue, allowing for efficient insert and delete operations.
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