Practice Find Operation Complexity - 7.8 | 7. Union-Find Data Structure Using Pointers | Design & Analysis of Algorithms - Vol 2
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Find Operation Complexity

7.8 - Find Operation Complexity

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of the find operation in an array-based implementation?

💡 Hint: Think about how quickly you can retrieve the component.

Question 2 Easy

What does the make operation in a union-find data structure do?

💡 Hint: Consider what happens to each element initially.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the amortized time complexity for union operations in a pointer-based union-find?

O(1)
O(log n)
O(n)

💡 Hint: Think about how unions are formed in the data structure.

Question 2

True or False: The find operation can be accomplished in constant time in a pointer-based implementation.

True
False

💡 Hint: Consider how trees are structured.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a union-find data structure with elements 1 through 10, perform a series of unions and a find operation. Calculate the time complexity for each operation based on the implementation type.

💡 Hint: Make note of unions performed and the resulting structure.

Challenge 2 Hard

Design a new optimization technique for union-find and compare it against path compression in terms of efficiency.

💡 Hint: Consider methods used in graph algorithms.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.