Introduction
Preorder Traversal means:
- traversing binary tree
- in Root → Left → Right order
Traversal Order:
Current NodeLeft Subtree
Right Subtree
Example:
1
/ \
2 3
/ \
4 5
Preorder Traversal:1 2 4 5 3
Explanation:
First visit:
current node
Then:
left subtree
Finally:
right subtreeThis problem is one of the most important applications of:
DFS TraversalConstraints
1 <= Number of Nodes <= 10^5 Approach : Recursive DFS Solution
Explanations:
Explanation:
The idea is:
- process current node
- recursively traverse left subtree
- recursively traverse right subtree
Steps:
- Visit current node.
- Traverse left subtree.
- Traverse right subtree.
Traversal Pattern:
Root → Left → Right This approach:
- uses recursion
- follows DFS traversal
Dry Run
Tree:1
/ \
2 3
/ \
4 5
Visit:
1
Go left:
2
Visit:
2
Go left:
4
Visit:
4
Backtrack:
2
Go right:
5
Visit:
5
Backtrack:
1
Go right:
3
Visit:
3
Output:
1 2 4 5 3
Practice :
Complexity Analysis :
Time Complexity:- O(n)Explanation : Every tree node is visited once.
Space Complexity:- O(h) Explanation :
Recursion stack depends on tree height.
Why This Problem is Important
This problem builds the foundation for:
- DFS traversal
- Tree recursion
- Binary tree traversal
- Recursive DFS logic
- Tree processing
Real-World Applications
Preorder traversal concepts are used in:
- Expression trees
- File systems
- Compiler design
- Tree serialization
- Syntax parsing
Common Beginner Mistakes
- Wrong traversal order
- Missing base case
- Incorrect recursion flow
- Visiting node at wrong time
- Null pointer handling errors
Interview Tip
Interviewers often expect:
- DFS understanding
- recursion explanation
- traversal order clarity
- tree recursion logic
Always explain:
- Root → Left → Right order
- recursive subtree traversal
- DFS processing flow
Related Questions
- Inorder Traversal
- Postorder Traversal
- Path Sum
- Same Tree
- Tree Height
Final Takeaway
The Preorder Traversal problem is one of the most important beginner DFS traversal problems.
It teaches:
- DFS recursion
- binary tree traversal
- recursive processing
- tree traversal patterns
Understanding this problem builds a strong foundation for:
- advanced tree problems
- graph traversal
- interview-level algorithms.