Your SlideShare is downloading. ×
Tree
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Saving this for later?

Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime - even offline.

Text the download link to your phone

Standard text messaging rates apply

Tree

404
views

Published on

Discrete Structure.

Discrete Structure.

Published in: Education, Technology, Business

0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
404
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
18
Comments
0
Likes
2
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. A tree is a finite set of one or more nodes such that:There is a specially designated node called the root.The remaining nodes are partitioned into n>=0 disjoint sets T1, ..., Tn, where each of these sets is a tree.We call T1, ..., Tn the subtrees of the root.
  • 2. CrownChurch of England Cabinet House of Commons House of Lords Supreme Court Ministers County Council Metropolitan police Rural District Council County Borough Council
  • 3. Levelnode (13)degree of a node A 1leaf (terminal) 3 1Non terminalparent B C D2 2 2 2 1 2 3childrensibling E F G H I J 2 30 30 31 3 0 30 3 3degree of a tree (3)ancestor K L M 4 0 40 4 0 4level of a nodeheight of a tree (4)
  • 4. ♣ The degree of a node is the number of subtrees of the node ◙ The degree of A is 3; the degree of C is 1.♣ The node with degree 0 is a leaf or terminal node.♣ A node that has subtrees is the parent of the roots of the subtrees.♣ The roots of these subtrees are the children of the node.♣ Children of the same parent are siblings.♣ The ancestors of a node are all the nodes along the path from the root to the node.
  • 5. Property Value A Number of nodes 9 Height 5 B C Root Node A Leaves C,D,F,H,ID E F Interior nodes A,B,E,G Number of levels 5 Ancestors of H G,E,B,A G Descendants of B E,G,H,I Siblings of E GH I
  • 6. ◛Every tree node:  object – useful information  children – pointers to its children nodes OO O O O
  • 7. Two main methods: ► Preorder ► Postorder Recursive definition▓ PREorder: ► visit the root ► traverse in preorder the children (subtrees)▓ POSTorder ► traverse in postorder the children (subtrees) ► visit the root
  • 8. Algorithm preorder(v) “visit” node v for each child w of v do recursively perform preorder(w)In simple language first Root node is traversed then Left child then Right child is traversed. Root Node 1 Left Child 2 3 Right Child 4 5 6 7 8 9 10 11 12 13 14 15
  • 9. Algorithm postorder(v) for each child w of v do recursively perform postorder(w) “visit” node vIn simple language first Left child is traversed then Right child then Root node is traversed. Root Node 1 Left Child 2 3 Right Child 4 5 6 7 8 9 10 11 12 13 14 15
  • 10. ◘ A special class of trees: max degree for each node is 2◘ Recursive definition: A binary tree is a finite set of nodes that is either empty or consists of a root and two disjoint binary trees called the left subtree and the right subtree.◘ Any tree can be transformed into binary tree. ◚ By left child-right sibling representation
  • 11. A B E C G DK F H L M I J
  • 12. The maximum number of nodes on level i of a binary tree is 2i- 1, i>=1.The maximum number of nodes in a binary tree of depth k is 2k- 1, k>=1. Prove by induction k 2 i 1 2 k 1 i 1
  • 13. If a complete binary tree with n nodes (depth = log n + 1) isrepresented sequentially, then for any node with index i,1<=i<=n, we have: parent(i) is at i/2 if i!=1. If i=1, i is at the root and has no parent. leftChild(i) is at 2i if 2i<=n. If 2i>n, then i has no left child. rightChild(i) is at 2i+1 if 2i +1 <=n. If 2i +1 >n, then i has no right child.