Breadth-first Search Complexity

The video tutorial explains the time and space complexity of a program using a tree structure. It details how the time complexity is O(N) due to the number of nodes and the use of a single while loop. The space complexity is also O(N) as it involves storing elements in a queue. The tutorial further discusses traversal techniques and how to optimize the process by directly printing results instead of appending them. The explanation aims to provide a clear understanding of these complexities in the context of level order traversal.

What is the maximum space that the program can acquire according to the analysis?

How does the traversal method affect the time and space complexity in the context of the program?