O(n) where n is the number of nodes in a given binary tree.

Space complexity

The space complexity of a skewed tree is O(n), while the call stack of a balanced tree consumes O(log n) space (i.e., the height of the balanced tree).

A balanced binary tree shortens the time required to search through the tree. The search time complexity of a balanced binary tree is O(log n) in the worst case and O(n) in the best case, where n is the number of nodes. Maintaining a balanced tree is advantageous for large trees.

What are some of the advantages of using binary trees?

Data is inserted and erased more quickly in binary trees than in linked lists and arrays. A hierarchical data storage approach is faster than a linked list and also indicates the structural relationship in the data.

What are the Binary search algorithm's limitations?

The limitations of the Binary Search Algorithm are:

It uses a recursive approach which requires more stack space.

Programming binary search algorithm is difficult and error-prone

The interaction of this algorithm with memory hierarchy (caching) is poor.

What are different possible Traversals for Binary Trees?

The different possible traversals of Binary Tree are level-order traversal, Diagonal traversal etc.

Conclusion

In this article, we have extensively discussed the concept of Level order traversal of binary tree line by line. We started with the introduction of the binary tree, the problem statement of Level order traversal, the example of Level order traversal of binary tree line by line, the algorithm of Level order traversal, and finally concluded with the implementation of Level order traversal.