Flip Equivalent Binary Trees Concepts

The video tutorial explains the flip equivalent binary trees problem, a common interview question at Google. It covers the problem statement, provides simple and complex examples, and details the algorithm to solve it. The tutorial includes a step-by-step code implementation and analyzes the time and space complexity. The video concludes with suggestions for further learning on binary tree problems.

What is the main goal when solving the flip equivalent binary trees problem?

• To check if the trees are balanced.

• To count the number of nodes in each tree.

• To determine if two trees can be made identical by flipping sub-trees.

• To find the maximum depth of the trees.

In the simple example discussed, what operation is performed to make the trees equivalent?

• Removing a node.

• Swapping sub-trees under a specific node.

• Changing the value of a node.

• Adding a new node.

In the complex example, what is the first difference observed between the two trees?

• Different root node values.

• Different number of nodes.

• Nodes at level 1 are in opposite positions.

• Different tree heights.

What is the first step in the algorithm to check if two trees are flip equivalent?

• Check if the trees are balanced.

• Check if the root nodes have the same value.

• Check if the trees have the same number of nodes.

• Check if both root nodes are null.

What is the purpose of the recursive calls in the algorithm?

• To check if sub-trees are equal as-is or when flipped.

• To count the number of leaf nodes.

• To determine if the trees are balanced.

• To calculate the height of the trees.

How many recursive calls are made at most for each node in the algorithm?

• Four

• Three

• Five

• Two

What does the algorithm return if both root nodes are null?

• True

• False

• The number of nodes in the trees

• The height of the trees

Which of the following is NOT a base case in the algorithm implementation?

• Both root nodes are null.

• One root node is null and the other is not.

• The values of the root nodes are different.

• The trees have different heights.

What is the time complexity of the algorithm for flip equivalent binary trees?

• O(n^2)

• O(n)

• O(log n)

• O(n log n)

What is the space complexity of the algorithm?

• O(n^2)

• O(n log n)

• O(log n)

• O(n)