1. Lecture 16:
Tree Traversal

2. Introduction

3. Tree Traversals abejknopfcdglmhi jenkopbfaclgmdhi jhopkefbclmghida
PREORDER
INORDER
POSTORDER

4. Tree Traversal Algorithms
Ordered tree traversals are based on the depth-first graph traversal. The structure of all depth-first tree traversals are the same. The diffence is in when each node is evaluated.
function traverse(node: X) {
for (all child nodes Y)
traverse(Y) }

5. Permutation Tree for Four Elements

6. Simple Maze Solving as Tree Traversal

7. List Representation of a Binary Tree

8. Edge List Representations of a Tree

9. Dynamic Memory Representations of a Tree

10. A General Tree in Dynamic Memory

11. Data-Tag-Next

12. Example: Breadth-First Traversal

13. Breadth-First Traversal of a Tree
sample Ada Code

14. Depth-First Traversal - Binary Dreet

15. Depth-First Traversal of a Tree

16. Implementing Depth-First Traversals
PREORDER
INORDER
POSTORDER

17. Watching the Stack

18. Summary DFT Tree Traversals Pre-order In-order Post-order
Permutation Trees
Simple Maze as a Tree
List Representation of a Binary Tree
Edge List Representation of a Tree
Trees in Dynamic Memory
Data-Tag-Next: a general tree node
Breadth-First Traversals
Usually on Permutation Trees
Iterative with a Queue
Depth-First Traverals
Used mostly for search and sort
Recursive with a Stack