Priority Queues - Harvey B. Mackay

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Presentation transcript:

Priority Queues - Harvey B. Mackay "Deadlines aren't bad. They help you organize your time. They help you set priorities. They make you get going when you might not feel like it. " - Harvey B. Mackay CLRS, Section 6.5

Priority Queue Priority queue is a queue where elements are accessed according to their priorities. Max-Priority Queue Element with highest priority is served before element with lower priority. Min-Priority Queue Element with lowest priority is served before element with higher priority. Heaps are usually used to implement priority queues. CS 321 - Data Structures

Example: Min-Priority Queue Each element has a key and a value. (2, Sue) (6, Mark) (5, Pat) (9, Jeff) (7, Anna) The keys used to build Min-Heap. CS 321 - Data Structures

Priority Queues Max-Priority Queue supports the following operations: Maximum(A): Returns element with largest key. Extract-Max(A): Removes / returns element with largest key. Increase-Key(A,i,k): Increases key of element in position i to k. Insert(A,x,k): Inserts element x with key k. Similarly, a Min-Priority Queue supports Minimum, Extract-Min, Decrease-Key, and Insert operations. CS 321 - Data Structures

Max-Heap Implementation Maximum(A): CS 321 - Data Structures

Max-Heap Implementation Extract-Max(A): CS 321 - Data Structures

Max-Heap Implementation Increase-Key(A,i,k): CS 321 - Data Structures

Example: Increase-Key Increase-Key(A,9,15): i = 9, key = 15 15 > 4, no error 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 - CS 321 - Data Structures

Example: Increase-Key Increase-Key(A,9,15): A[9] = 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 - CS 321 - Data Structures

Example: Increase-Key Increase-Key(A,9,15): A[4] < A[9] swap A[9], A[4] i = 4 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 - CS 321 - Data Structures

Example: Increase-Key Increase-Key(A,9,15): A[2] < A[4] swap A[4], A[2] i = 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 - CS 321 - Data Structures

Example: Increase-Key Increase-Key(A,9,15): A[1] > A[2] while done 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 - CS 321 - Data Structures

Max-Heap Implementation Insert(A,x,k): CS 321 - Data Structures

Priority Queue In summary, a heap can support any priority-queue operations in O(log n) time. CS 321 - Data Structures

Exercise 1 How to implement a standard queue (FIFO) with a priority queue? CS 321 - Data Structures

Exercise 2 How to implement a stack (LIFO) with a priority queue? CS 321 - Data Structures

CS 321 - Data Structures