Left view of Binary Tree | Right view of Binary Tree | Left view of Tree | DSA-One Course #60

TL;DR

This video explains how to print the left and right views of a binary tree by using recursion and a hashmap.

Transcript

Hey What's up guys Anuj here & welcome to DSA One course So in today's video we will be solving a question on Binary Tree which is called Print left view & then next question, right view of a binary tree so you are given a binary tree we will be doing two questions in it print left & right view before this, we saw level order traversal here we will... Read More

Key Insights

• ↪️ The left view of a binary tree includes the nodes visible when looking at the tree from the left side, while the right view includes the nodes visible from the right side.
• ↪️ The left and right views can be printed using recursion and a hashmap or array data structure.
• 🎚️ Alternatively, the views can be printed by traversing the tree level by level using a queue data structure.
• ↪️ The left and right views provide different perspectives on the binary tree and can be useful for various applications.
• ↪️ The code provided in the video demonstrates an efficient approach to print the left and right views of a binary tree without traversing each node on a level.
• ↪️ The code can be modified to print only the left or right view by reversing the order of traversal or updating the nodes added to the hashmap or array.
• ↪️ The left and right views allow for a quick understanding of the overall structure of a binary tree from different angles.

Questions & Answers

Q: What is the difference between the left view and right view of a binary tree?

The left view of a binary tree includes the nodes visible when looking at the tree from the left side, while the right view includes the nodes visible from the right side.

Q: How can the left view of a binary tree be printed using recursion?

To print the left view, you can use recursion and a hashmap or array. Traverse the tree using recursion and keep track of the level of each node. Add the first node at each level to the hashmap or array to get the left view.

Q: How can the right view of a binary tree be printed using recursion?

To print the right view, you can modify the code for printing the left view. Instead of adding the first node at each level, add the last node encountered at each level to the hashmap or array.

Q: Can the left and right views of a binary tree be printed using a queue data structure?

Yes, it is possible to print the left and right views of a binary tree using a queue data structure. By traversing the tree level by level, the first node encountered at each level will be the left view, and the last node encountered will be the right view.

Key Insights:

• The left view of a binary tree includes the nodes visible when looking at the tree from the left side, while the right view includes the nodes visible from the right side.
• The left and right views can be printed using recursion and a hashmap or array data structure.
• Alternatively, the views can be printed by traversing the tree level by level using a queue data structure.
• The left and right views provide different perspectives on the binary tree and can be useful for various applications.
• The code provided in the video demonstrates an efficient approach to print the left and right views of a binary tree without traversing each node on a level.
• The code can be modified to print only the left or right view by reversing the order of traversal or updating the nodes added to the hashmap or array.
• The left and right views allow for a quick understanding of the overall structure of a binary tree from different angles.
• Understanding the concepts and implementation of left and right views is essential for building efficient algorithms and solving related problems in binary tree traversal.

Summary & Key Takeaways

• The video introduces the concept of left and right views of a binary tree, which show the nodes that are visible when looking at the tree from the left or right side.

• The left view includes nodes visible from the left side of the tree, while the right view includes nodes visible from the right side.

• The video provides a step-by-step explanation of how to print the left and right views using recursion and a hashmap or array data structure.