Flip Equivalence in Binary Trees

Flip Equivalence in Binary Trees

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

Created by

Patricia Brown

FREE Resource

This video tutorial covers the concept of flip equivalent binary trees, a problem from LeetCode. It explains the problem statement, constraints, and provides examples to illustrate the concept. The video then delves into the algorithm to determine if two binary trees are flip equivalent, including a dry run and code walkthrough. The tutorial concludes with additional resources for further learning.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main problem discussed in the video?

Finding the height of a binary tree

Determining if two binary trees are flip equivalent

Calculating the diameter of a binary tree

Balancing a binary search tree

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a constraint mentioned for the binary trees?

The number of nodes in each tree can be up to 100

Each tree must have at least one node

The trees must be balanced

Each tree can have duplicate node values

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key observation about structurally different trees?

They can be made flip equivalent with enough operations

They can never be flip equivalent

They are always flip equivalent

They require additional nodes to be flip equivalent

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary operation used to determine if two trees are flip equivalent?

Swapping the root nodes

Removing leaf nodes

Swapping the left and right subtrees

Adding new nodes

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the algorithm, what happens if a flip is assumed to have occurred at a node?

The left subtree is compared with the right subtree of the other tree

The subtrees are not compared

The right subtree is compared with the right subtree of the other tree

The left subtree is compared with the left subtree of the other tree

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of the approach discussed?

O(log N)

O(N log N)

O(N^2)

O(N)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the space complexity of the approach?

O(N^2)

O(N)

O(log N)

O(1)

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?