Practice Introduction To Complexity Theory: How Hard Is A Problem Practically? (8.2)
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Introduction to Complexity Theory: How Hard is a Problem Practically?

Practice - Introduction to Complexity Theory: How Hard is a Problem Practically?

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does time complexity measure?

💡 Hint: Think about how time grows with input.

Question 2 Easy

What is Big-O notation used for?

💡 Hint: It indicates how the runtime behaves as input increases.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which of the following complexities is considered constant time?

O(1)
O(n)
O(n^2)
O(2^n)

💡 Hint: What does constant time mean in relation to input?

Question 2

True or False: All problems in P are also in NP.

True
False

💡 Hint: Think about how polynomial solutions can also verify.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Discuss an example of a real-world application that illustrates the significance of class P and class NP, analyzing an NP-complete problem in detail.

💡 Hint: Think about how a company could reduce operation costs and time.

Challenge 2 Hard

Design an algorithm that offers a polynomial-time solution for a problem previously considered NP-complete and explain the approach.

💡 Hint: Explore strategies that narrow possibilities.

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