Implement different search algorithms : BST from scratch - Search

The video tutorial covers the implementation of a recursive search method for a binary search tree. It begins with an introduction to the method, followed by a performance analysis of search operations in balanced and imbalanced trees. The tutorial provides examples of searching for both existing and non-existing values in the tree. It then explains how to build the recursive search method and tests it with various values. The video concludes with a brief introduction to the next topic, which is node deletion in a binary search tree.

What is the performance of a search operation in a balanced binary search tree?

• O(N^2)

• O(N)

• O(log N)

• O(1)

When searching for a value in a binary search tree, what happens after each comparison?

• Half of the tree is eliminated from the search.

• The search is terminated immediately.

• The search starts from the beginning.

• The entire tree is searched again.

What is the outcome when searching for a value that does not exist in the tree?

• The search returns the root node.

• The search returns 'value not found'.

• The search continues indefinitely.

• The search returns the closest value.

What is the first step in the recursive search method implementation?

• Check if the tree is balanced.

• Check if the tree is empty.

• Check if the root exists.

• Check if the key is greater than the root.

In the recursive search method, what happens if the left child does not exist?

• The search continues with the right child.

• The search returns the parent node.

• The search returns 'value not found'.

• The search starts over from the root.

What is returned when the key matches the current node's data in the search method?

• The search returns the root node.

• The search continues.

• The search returns 'value found in tree'.

• The search returns 'value not found'.

What is the purpose of the 'findVal' method in the search implementation?

• To initiate the search process.

• To balance the tree.

• To insert a new node.

• To delete a node from the tree.