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Initializing A Max Heap Initializing A Max Heap 1 1 3 3 2 2 4 - PDF document

Initializing A Max Heap Initializing A Max Heap 1 1 3 3 2 2 4 5 6 7 4 5 6 7 8 9 7 7 11 8 8 9 7 7 11 8 10 10 input array = [-, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] Start at rightmost array position that has a child.


  1. Initializing A Max Heap Initializing A Max Heap 1 1 3 3 2 2 4 5 6 7 4 5 6 7 8 9 7 7 11 8 8 9 7 7 11 8 10 10 input array = [-, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] Start at rightmost array position that has a child. Index is n/2. Initializing A Max Heap Initializing A Max Heap 1 1 3 3 2 2 4 11 6 7 4 11 6 7 8 9 7 7 5 8 8 9 7 7 8 5 10 10 Move to next lower array position. Initializing A Max Heap Initializing A Max Heap 1 1 3 3 2 2 9 11 6 7 9 11 6 7 8 4 7 7 5 8 8 4 7 7 8 5 10 10

  2. Initializing A Max Heap Initializing A Max Heap 1 1 7 7 2 2 9 11 6 3 9 11 6 3 8 4 7 7 5 8 8 4 7 7 8 5 10 10 Initializing A Max Heap Initializing A Max Heap 1 1 7 7 11 11 9 6 3 9 10 6 3 8 4 7 7 5 8 8 4 8 7 7 10 5 Find a home for 2. Find a home for 2. Initializing A Max Heap Initializing A Max Heap 1 1 7 7 11 11 9 10 6 3 9 10 6 3 2 8 4 7 7 5 8 8 4 7 7 5 8 2 Done, move to next lower array position. Find home for 1.

  3. Initializing A Max Heap Initializing A Max Heap 11 11 7 10 7 9 10 6 3 9 6 3 2 2 8 4 7 7 8 5 8 4 7 7 5 8 Find home for 1. Find home for 1. Initializing A Max Heap Initializing A Max Heap 11 11 10 7 10 7 9 5 6 3 9 5 6 3 2 2 8 4 7 7 8 8 4 7 7 8 1 Find home for 1. Done. Time Complexity Complexity 11 Time for level j subtrees is <= 2 j-1 (h-j+1) = t(j). Total time is t(1) + t(2) + … + t(h-1) = O(n). 7 9 8 5 6 3 1 4 7 7 2 8 10 Height of heap = h. Number of subtrees with root at level j is <= 2 j-1 . Time for each subtree is O(h-j+1).

  4. Leftist Trees Extended Binary Trees Linked binary tree. Start with any binary tree and add an Can do everything a heap can do and in the external node wherever there is an same asymptotic complexity. empty subtree. Can meld two leftist tree priority queues in Result is an extended binary tree. O(log n) time. A Binary Tree An Extended Binary Tree number of external nodes is n+1 s() Values Example The Function s() For any node x in an extended binary tree, let s(x) be the length of a shortest path from x to an external node in the subtree rooted at x.

  5. s() Values Example Properties Of s() 2 If x is an external node, then s(x) = 0. 2 1 Otherwise, 2 1 1 0 s(x) = min {s(leftChild(x)), 1 s(rightChild(x))} + 1 1 1 0 0 0 0 0 0 0 0 0 A Leftist Tree Height Biased Leftist Trees 2 A binary tree is a (height biased) leftist tree 2 1 iff for every internal node x, s(leftChild(x)) >= s(rightChild(x)) 2 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 A Leftist Tree Leftist Trees--Property 1 2 In a leftist tree, the rightmost path is a 2 1 shortest root to external node path and the length of this path is s(root). 2 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 Length of rightmost path is 2.

  6. A Leftist Tree Leftist Trees—Property 2 2 The number of internal nodes is at least 2 1 2 s(root) - 1 Because levels 1 through s(root) have no 2 1 1 0 external nodes. So, s(root) <= log(n+1) 1 1 1 0 0 0 0 0 0 0 0 0 Levels 1 and 2 have no external nodes. Leftist Trees As Priority Queues Leftist Trees—Property 3 Length of rightmost path is O(log n), where Min leftist tree … leftist tree that is a min tree. n is the number of nodes in a leftist tree. Used as a min priority queue. Follows from Properties 1 and 2. Max leftist tree … leftist tree that is a max tree. Used as a max priority queue. A Min Leftist Tree Some Min Leftist Tree Operations 2 put() 4 3 remove() 6 8 5 meld() initialize() 9 8 6 put() and remove() use meld().

  7. Put Operation Put Operation put(7) put(7) 2 2 4 3 4 3 6 8 5 6 8 5 9 9 8 6 8 6 Create a single node min leftist tree. 7 Remove Min Put Operation 2 put(7) 2 4 3 4 3 6 8 5 6 8 5 9 8 6 9 8 6 Create a single node min leftist tree. 7 Meld the two min leftist trees. Remove Min Remove Min 2 2 4 3 4 3 6 8 5 6 8 5 9 9 8 6 8 6 Remove the root. Remove the root. Meld the two subtrees.

  8. Meld Two Min Leftist Trees Meld Two Min Leftist Trees 4 3 6 8 5 6 4 3 9 8 6 6 8 5 6 Meld right subtree of tree with smaller root and 9 8 6 all of other tree. Traverse only the rightmost paths so as to get logarithmic performance. Meld Two Min Leftist Trees Meld Two Min Leftist Trees 6 4 3 4 6 8 5 6 6 8 9 8 6 8 6 Meld right subtree of tree with smaller root and all of Meld right subtree of tree with smaller root and all of other tree. other tree. Meld Two Min Leftist Trees Meld Two Min Leftist Trees 6 6 8 8 Make melded subtree right subtree of smaller root. 6 8 Meld right subtree of tree with smaller root and all of other tree. Swap left and right subtree if s(left) < s(right). 6 Right subtree of 6 is empty. So, result of melding right subtree of tree with smaller root and other tree is the 8 other tree.

  9. Meld Two Min Leftist Trees Meld Two Min Leftist Trees 4 3 4 6 6 6 5 4 6 8 6 6 9 8 6 8 8 6 8 6 8 Make melded subtree right subtree of smaller root. Make melded subtree right subtree of smaller root. Swap left and right subtree if s(left) < s(right). Swap left and right subtree if s(left) < s(right). Initializing In O(n) Time Meld Two Min Leftist Trees • create n single node min leftist trees 3 and place them in a FIFO queue 4 • repeatedly remove two min leftist trees 5 from the FIFO queue, meld them, and 6 6 put the resulting min leftist tree into the 9 FIFO queue 8 6 8 • the process terminates when only 1 min leftist tree remains in the FIFO queue • analysis is the same as for heap initialization

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