Upcoming SlideShare
Loading in …5
×

# Computernotes datastructures-22-111227202516-phpapp02

328 views

Published on

Published in: Education
0 Comments
0 Likes
Statistics
Notes
• Full Name
Comment goes here.

Are you sure you want to Yes No
Your message goes here
• Be the first to comment

• Be the first to like this

No Downloads
Views
Total views
328
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

### Computernotes datastructures-22-111227202516-phpapp02

1. 1. Class No.22 Data Structureshttp://ecomputernotes.com 1
2. 2. 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. http://ecomputernotes.com 2
3. 3. 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 Action: change the balance of the parent node and stop. No further effect on balance of any higher node. http://ecomputernotes.com 3
4. 4. Deletion in AVL Tree Here is why; the height of left tree does not change. 0 4 2 6 1 1 3 5 7 2 http://ecomputernotes.com 4
5. 5. Deletion in AVL Tree Here is why; the height of left tree does not change. 0 4 4 2 6 1 2 6 1 3 5 7 2 3 5 7 remove(1) http://ecomputernotes.com 5
6. 6. 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. http://ecomputernotes.com 6
7. 7. 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 Action: change the balance of the parent node. May have caused imbalance in higher nodes so continue up the tree. http://ecomputernotes.com 7
8. 8. 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. http://ecomputernotes.com 8
9. 9. 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. http://ecomputernotes.com 9
10. 10. 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. 10
11. 11. 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. http://ecomputernotes.com 11
12. 12. 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. 12
13. 13. 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. http://ecomputernotes.com 13
14. 14. 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. 14
15. 15. Other Uses of Binary Trees Expression Trees http://ecomputernotes.com 15
16. 16. 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. http://ecomputernotes.com 16
17. 17. Expression Tree (a+b*c)+((d*e+f)*g) + + * a * + g b c * f d e http://ecomputernotes.com 17
18. 18. Parse Tree in Compiler A := A + B * C <assign> <id> := <expr> A <expr> + <term> <term> <term> * <factor> <factor> <factor> <id> <id> Expression grammar <id> C A <assign>  <id> := <expr> B <id>  A | B | C <expr>  <expr> + <term> | <term> <term>  <term> * <factor> | <factor> <factor>  ( <expr> ) | <id> 18
19. 19. 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’ ; http://ecomputernotes.com 19
20. 20. SQL Parse Tree < Query > SELECT <SelList> FROM <FromList> WHERE <Condition> <Attribute> <RelName> , <FromList> AND title StarsIn <RelName> MovieStar <Condition> <Condition> <Attribute> = <Attribute> <Attribute> LIKE <Pattern> starName name birthdate ‘%1960’ http://ecomputernotes.com 20
21. 21. Compiler Optimization Common subexpression: (f+d*e)+((d*e+f)*g) + + * f * + g d e * f d e http://ecomputernotes.com 21
22. 22. Compiler Optimization (Common subexpression: (f+d*e)+((d*e+f)*g) + + * f * g d e Graph! http://ecomputernotes.com 22