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Double-Ended Priority Queues

Double-Ended Priority Queues. Primary operations Insert Remove Max Remove Min Note that a single-ended priority queue supports just one of the above remove operations. General Methods. Dual min and max single-ended priority queues.

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Double-Ended Priority Queues

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  1. Double-Ended Priority Queues • Primary operations • Insert • Remove Max • Remove Min • Note that a single-ended priority queue supports just one of the above remove operations.

  2. General Methods • Dual min and max single-ended priority queues. • Correspondence based min and max single-ended priority queues.

  3. Specialized Structures • Symmetric min-max heaps. • Min-max heaps. • Deaps. • Interval heaps.

  4. Dual Single-Ended Priority Queues • Each element is in both a min and a max single-ended priority queue. • Single-ended priority queue also must support an arbitrary remove. • Each node in a priority queue has a pointer to the node in the other priority queue that has the same element.

  5. 1 9 8 6 4 2 5 7 9 3 7 1 4 5 2 3 8 6 Max Heap Min Heap 9-Element Example • Only 5 of 9 two-way pointers shown. • Insert, remove min, remove max, initialize. • Operation cost is more than doubled relative to heap. • Space for 2n nodes.

  6. Correspondence Structures • Use a min and a max single-ended priority queue, each has n/2 nodes (or elements). • When n is odd, 1 element is in a buffer. • Remaining elements are in the single-ended priority queues. • Establish a correspondence between the min and max single-ended priority queues. • Total correspondence. • Leaf correspondence. • Single-ended priority queue also must support an arbitrary remove.

  7. Total Correspondence • Each element of the min priority queue is paired with a different and >= element in the max priority queue.

  8. 20 1 10 18 9 5 14 17 2 7 Min Heap Max Heap Total Correspondence Example Buffer = 12

  9. 20 1 10 18 9 5 14 17 2 7 Min Heap Max Heap Buffer = 12 Insert • Buffer empty => place in buffer. • Else, insert smaller of new and buffer elements into min priority queue and larger into max priority queue; establish correspondence between the 2 elements.

  10. 20 1 10 18 9 5 14 17 2 7 Min Heap Max Heap Buffer = 12 Remove Min • Buffer is min => empty buffer. • Else, remove min from min PQ as well as corresponding element from max PQ; reinsert corresponding element.

  11. Leaf Correspondence • Each leaf element of the min priority queue is paired with a different and >= element in the max priority queue. • Each leaf element of the max priority queue is paired with a different and <= element in the min priority queue.

  12. Added Restrictions • When an element is inserted into a single-ended PQ, only the newly inserted element can become a new leaf. • When an element is deleted from a single-ended PQ, only the parent of the deleted element can become a new leaf. • Min and max heaps do not satisfy these restrictions. So, leaf correspondence is harder to implement using min and max heaps.

  13. 20 1 10 18 3 5 14 17 6 7 Min Heap Max Heap Leaf Correspondence Example Buffer = 12

  14. 20 1 10 18 3 5 14 17 6 7 Min Heap Max Heap Buffer = 12 Insert • Buffer empty => place in buffer. • Else, insert smaller of new and buffer elements into min priority queue; insert larger into max priority queue only if smaller one is a leaf.

  15. 20 1 10 18 3 5 14 17 6 7 Min Heap Max Heap Buffer = 12 Insert • Case when min and/or max heap originally have an even number of elements is more involved, because a nonleaf may become a leaf. See reference.

  16. 20 1 10 18 3 5 14 17 6 7 Min Heap Max Heap Buffer = 12 Remove Min • Buffer is min => empty buffer. • Else, remove min from min PQ as well as corresponding leaf element (if any) from max PQ; reinsert removed corresponding element (see reference for details).

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