Left Side View of Binary Tree in DSA Go - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the Left Side View of a Binary Tree?

The Left Side View of a Binary Tree is the set of nodes visible when the tree is seen from the left side. It includes the leftmost node at each level of the tree.

beginner

Which tree traversal method is commonly used to find the Left Side View of a Binary Tree?

Level Order Traversal (Breadth-First Search) is commonly used. It processes nodes level by level and helps identify the first node at each level, which forms the left side view.

beginner

In Go, which data structure is typically used to implement the queue needed for level order traversal?

A slice (dynamic array) is typically used as a queue in Go. Elements are appended at the end and removed from the front to simulate queue behavior.

beginner

Why do we only take the first node at each level for the Left Side View?

Because the first node at each level is the leftmost node visible from the left side. Nodes after it are hidden behind this node when viewed from the left.

intermediate

What is the time complexity of finding the Left Side View of a Binary Tree using level order traversal?

The time complexity is O(n), where n is the number of nodes in the tree, because each node is visited exactly once.

What does the Left Side View of a binary tree represent?

A Nodes visible from the left side at each level

B Nodes visible from the right side at each level

C All leaf nodes of the tree

D Nodes with only left children

The left side view shows the nodes visible when looking at the tree from the left side, which are the leftmost nodes at each level.

Which traversal technique is best suited to find the Left Side View?

A Preorder Traversal

B Level Order Traversal

C Inorder Traversal

D Postorder Traversal

Level Order Traversal visits nodes level by level, making it easy to pick the first node at each level for the left side view.

In Go, what is a simple way to implement a queue for level order traversal?

A Using a slice with append and slicing

B Using a map

C Using a linked list package

D Using a stack

A slice can be used as a queue by appending elements at the end and removing from the front using slicing.

If a binary tree has 10 nodes, what is the time complexity to find its left side view?

A O(1)

B O(log n)

C O(n^2)

D O(n)

Each node is visited once during level order traversal, so the time complexity is O(n).

Why do we ignore nodes after the first node at each level when finding the left side view?

A They are always leaf nodes

B They are not part of the tree

C They are hidden behind the first node from the left view

D They are duplicates

Nodes after the first node at each level are hidden behind it when viewed from the left side.

Explain how to find the Left Side View of a Binary Tree using level order traversal.

Think about visiting nodes level-wise and picking the first node you see at each level.

Describe the role of a queue in implementing the Left Side View algorithm in Go.

Consider how you visit nodes level by level and keep track of them.