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AA Trees

AA Trees. Balanced Binary Search Trees. A Binary Search Tree (BST) of N nodes is balanced if height is in O (log N) A balanced tree supports efficient operations, since most operations only have to traverse one or two root-to-leaf paths.

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AA Trees

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  1. AA Trees

  2. Balanced Binary Search Trees • A Binary Search Tree (BST) of N nodes is balanced if height is in O(log N) • A balanced tree supports efficient operations, since most operations only have to traverse one or two root-to-leaf paths. • There are many implementations of balanced BSTs, including AVL trees, Red-Black trees and AA trees.

  3. Properties of AA Trees • An AA tree satisfies the properties of Red-Black trees plus one more: 1 Every node is colored either red or black 2 The root is black 3 If a node is red, both of its children are black. 4 Every path from a node to a null reference has the same number of black nodes 5 Left children may NOT be red

  4. Advantage of AA Trees • AA trees simplify the algorithms • It eliminates half the restructuring cases • It simplifies deletion by removing an annoying case • if an internal node has only one child, that child must be a red right child • We can always replace a node with the smallest child in the right subtree [it will either be a leaf or have a red child]

  5. Representing the Balance information • In each node we store a level. The level is defined by these rules • If a node is a leaf, its level is 1 • If a node is red, its level is the level of its parent • If a node is black, its level is one less than the level of its parent • The level is the number of left links to a nullreference.

  6. Links in an AA tree • A horizontal link is a connection between a node and a child with equal levels • Horizontal links are right references • There cannot be two consecutive horizontal links • Nodes at level 2 or higher must have two children • If a node has no right horizontal link, its two children are at the same level

  7. Example of an AA Tree 70 30 15 50 60 85 80 90 35 40 55 65 5 10 20

  8. Insertion • A new item is always inserted at the bottom level • In the previous example, inserting 2 will create a horizontal left link • In the previous example, inserting 45 generates consecutive right links • After inserting at the bottom level, we may need to perform rotations to restore the horizontal link properties

  9. skew - remove left horizontal links P X P X A B C A B C

  10. split - remove consecutive horizontal links P X P G X G A B A B

  11. skew/split • A skew removes a left horizontal link • A skew might create consecutive right horizontal links • We should first process a skew and then a split, if necessary • After a split, the middle node increases a level, which may create a problem for the original parent

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