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Self-Balancing Search Trees
Chapter 11 Self-Balancing Search Trees Chapter 11
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Which STL Container to Use?
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Self-Balancing Search Trees
Chapter 11 Self-Balancing Search Trees 11.1, pgs
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4 Critically Unbalanced Trees
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child
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AVL Tree Example Build an AVL tree from the words:
Self-Balancing Search Trees Build an AVL tree from the words: "The quick brown fox jumps over the lazy dog"
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AVL Tree Example The Insert The Self-Balancing Search Trees
Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child The Insert The
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AVL Tree Example The +1 quick Insert quick Self-Balancing Search Trees
Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child The +1 Insert quick quick
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AVL Tree Example The +2 -1 quick brown Insert brown
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child The +2 -1 Insert brown quick brown The overall tree is right-heavy (Right-Left) 1. Rotate right around the child (quick)
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AVL Tree Example The brown +2 +1 quick
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child The brown +2 +1 quick Rotate right around the child (quick) Rotate left around the parent (The)
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AVL Tree Example brown quick The Insert fox
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child brown quick The Insert fox
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AVL Tree Example +1 brown The quick fox Insert fox
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child +1 brown Insert fox The quick fox
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AVL Tree Example brown quick The +1 fox Insert jumps
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child brown quick The +1 Insert jumps fox
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The tree is now left-heavy about quick (Left-Right case)
AVL Tree Example Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child +2 -2 +1 brown Insert jumps The quick fox The tree is now left-heavy about quick (Left-Right case) jumps
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AVL Tree Example brown quick The +2 -2 fox +1 jumps
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child brown quick The +2 -2 fox +1 Rotate left around the child (fox) jumps
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AVL Tree Example brown quick The +2 -2 jumps -1 fox
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child brown quick The +2 -2 jumps -1 Rotate left around the child fox Rotate right around the parent
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AVL Tree Example brown jumps The +1 fox quick
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child brown jumps The +1 fox quick
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We now have a Right-Right imbalance
AVL Tree Example Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child +2 +1 -1 brown Insert over The jumps fox quick We now have a Right-Right imbalance over
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1. Rotate left around the parent
AVL Tree Example Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child brown jumps The +2 +1 fox quick -1 1. Rotate left around the parent over
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AVL Tree Example jumps quick brown -1 The fox over Insert the
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child jumps quick brown -1 The fox over Insert the
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AVL Tree Example jumps brown quick The fox over the Insert the
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child jumps Insert the brown quick The fox over the
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AVL Tree Example jumps quick brown The fox over the Insert lazy
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child jumps quick brown The fox over the Insert lazy
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AVL Tree Example +1 -1 jumps brown quick The fox over the lazy
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child +1 -1 jumps Insert lazy brown quick The fox over the lazy
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AVL Tree Example jumps quick brown +1 -1 The fox over the lazy
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child jumps quick brown +1 -1 The fox over the lazy Insert dog
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AVL Tree Example -1 +1 jumps brown quick The fox over the dog lazy
Self-Balancing Search Trees Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child -1 +1 jumps Insert dog brown quick The fox over the dog lazy
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Insert the following into an AVL tree: 14, 17, 11, 7, 53, 4, 13, 12, 8
Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child
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Insert the following into an AVL tree: 14, 17, 11, 7, 53, 4, 13, 12, 8
Left-Left (parent balance is -2, left child balance is -1) Rotate right around parent Left-Right (parent balance -2, left child balance +1) Rotate left around child Right-Right (parent balance +2, right child balance +1) Rotate left around parent Right-Left (parent balance +2, right child balance -1) Rotate right around child
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Implementing an AVL Tree
Self-Balancing Search Trees
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Performance of the AVL Tree
Self-Balancing Search Trees Since each subtree is kept close to balanced, the AVL has expected O(log n). Each subtree is allowed to be out of balance ±1 so the tree may contain some holes. In the worst case (which is rare) an AVL tree can be 1.44 times the height of a full binary tree that contains the same number of items. Ignoring constants, this still yields O(log n) performance. Empirical tests show that on average log2.n comparisons are required to insert the nth item into an AVL tree – close to insertion into a corresponding complete binary search tree.
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Pros and Cons of AVL Trees
Self-Balancing Search Trees
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Pros and Cons of AVL Trees
Self-Balancing Search Trees Argument for AVL trees: Search is O(log n) since AVL trees are always balanced. Insertion and deletions are also O(log n). The height balancing adds no more than a constant factor to the speed of insertion. Arguments against using AVL trees: Difficult to program & debug; more space for balance factor. Asymptotically faster but rebalancing costs time. Most large searches are done in database systems on disk and use other structures (e.g. B-trees). May be OK to have O(n) for a single operation if total run time for many consecutive operations is fast (e.g. Splay trees).
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