Data Structures and Algorithms The Complete Masterclass - Breadth-first Search Complexity

The video tutorial explains the time and space complexity of a program using a tree structure. It discusses the use of a while loop and a queue to manage elements, highlighting that both time and space complexity are O(N), where N is the number of nodes. The tutorial also provides insights into optimizing traversal by directly printing results instead of appending them.

What is the time complexity of the program discussed in the video?

• O(1)

• O(log N)

• O(N)

• O(N^2)

Which data structure is primarily used to manage elements in the program?

• Stack

• Array

• Queue

• Linked List

What is the space complexity of the program as described in the video?

• O(log N)

• O(1)

• O(N)

• O(N^2)

How does the program ensure that the space complexity remains O(N)?

• By using multiple queues

• By adding all elements at once

• By adding and removing elements dynamically

• By using a stack instead of a queue

What is the purpose of the traversal in the program?

• To sort the elements

• To print the result directly

• To find the maximum element

• To calculate the sum of elements