Deletion in AVL Tree There are 5 cases to consider.

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Presentation transcript:

Deletion in AVL Tree There are 5 cases to consider. Let us go through the cases graphically and determine what action to take. We will not develop the C++ code for deleteNode in AVL tree. This will be left as an exercise.

Lecture No.24 Data Structure Dr. Sohail Aslam

Deletion in AVL Tree Case 1a: the parent of the deleted node had a balance of 0 and the node was deleted in the parent’s left subtree. Delete on this side Start of lecture 24 Action: change the balance of the parent node and stop. No further effect on balance of any higher node.

Deletion in AVL Tree Here is why; the height of left tree does not change. 4 2 6 1 1 3 5 7 2

Deletion in AVL Tree Here is why; the height of left tree does not change. 4 4 2 6 1 2 6 1 3 5 7 2 3 5 7 remove(1)

Deletion in AVL Tree Case 1b: the parent of the deleted node had a balance of 0 and the node was deleted in the parent’s right subtree. Delete on this side Action: (same as 1a) change the balance of the parent node and stop. No further effect on balance of any higher node.

Deletion in AVL Tree Case 2a: the parent of the deleted node had a balance of 1 and the node was deleted in the parent’s left subtree. Delete on this side End of lecture 23. Action: change the balance of the parent node. May have caused imbalance in higher nodes so continue up the tree.

Deletion in AVL Tree Case 2b: the parent of the deleted node had a balance of -1 and the node was deleted in the parent’s right subtree. Delete on this side Action: same as 2a: change the balance of the parent node. May have caused imbalance in higher nodes so continue up the tree.

Deletion in AVL Tree Case 3a: the parent had balance of -1 and the node was deleted in the parent’s left subtree, right subtree was balanced.

Deletion in AVL Tree Case 3a: the parent had balance of -1 and the node was deleted in the parent’s left subtree, right subtree was balanced. Single rotate Action: perform single rotation, adjust balance. No effect on balance of higher nodes so stop here.

Deletion in AVL Tree Case 4a: parent had balance of -1 and the node was deleted in the parent’s left subtree, right subtree was unbalanced.

Deletion in AVL Tree Case 4a: parent had balance of -1 and the node was deleted in the parent’s left subtree, right subtree was unbalanced. double rotate Action: Double rotation at B. May have effected the balance of higher nodes, so continue up the tree.

Deletion in AVL Tree Case 5a: parent had balance of -1 and the node was deleted in the parent’s left subtree, right subtree was unbalanced.

Deletion in AVL Tree Case 5a: parent had balance of -1 and the node was deleted in the parent’s left subtree, right subtree was unbalanced. single rotate Action: Single rotation at B. May have effected the balance of higher nodes, so continue up the tree.

Other Uses of Binary Trees Expression Trees

Expression Trees Expression trees, and the more general parse trees and abstract syntax trees are significant components of compilers. Let us consider the expression tree.

Expression Tree (a+b*c)+((d*e+f)*g) + + * a * + g b c * f d e

Parse Tree in Compiler A := A + B * C Expression grammar <assign> <id> := <expr> A <expr> + <term> <term> <term> * <factor> <factor> Expression grammar <assign>  <id> := <expr> <id>  A | B | C <expr>  <expr> + <term> | <term> <term>  <term> * <factor> | <factor> <factor>  ( <expr> ) | <id> <factor> <id> <id> <id> C A B

Parse Tree for an SQL query Consider querying a movie database Find the titles for movies with stars born in 1960 The database has tables StarsIn(title, year, starName) MovieStar(name, address, gender, birthdate) SELECT title FROM StarsIn, MovieStar WHERE starName = name AND birthdate LIKE ‘%1960’ ;

SQL Parse Tree < Query > SELECT <SelList> FROM <FromList> WHERE <Condition> <Attribute> <RelName> , <FromList> AND title StarsIn <RelName> <Condition> <Condition> <Attribute> = <Attribute> <Attribute> LIKE <Pattern> starName name birthdate ‘%1960’ MovieStar

Compiler Optimization Common subexpression: (f+d*e)+((d*e+f)*g) + + * f * + g d e * f d e

Compiler Optimization (Common subexpression: (f+d*e)+((d*e+f)*g) + + * f End of lecture 24. * g d e Graph!