Practice Polynomial Time Growth (the Definition Of 'efficient') (8.2.2.2) - Undecidability and Introduction to Complexity Theory
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Polynomial Time Growth (The Definition of 'Efficient')

Practice - Polynomial Time Growth (The Definition of 'Efficient')

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define polynomial time.

💡 Hint: Think about the relationship between time and input size.

Question 2 Easy

What is class P?

💡 Hint: Consider the type of problems defined by their time complexity.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does class P represent?

Problems solvable in polynomial time
Problems solvable in exponential time
Problems that cannot be solved

💡 Hint: Focus on the notion of efficiency in problem-solving.

Question 2

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

True
False

💡 Hint: Consider the relationship between finding and verifying solutions.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider an algorithm for finding the maximum element in an array. If the array has n elements, write an expression for its time complexity and discuss whether it belongs to class P.

💡 Hint: Focus on the number of operations concerning the size of the input.

Challenge 2 Hard

Design a polynomial-time algorithm to solve a specific problem in your chosen domain (like scheduling, sorting, etc.) and explain how it adheres to the P criteria.

💡 Hint: Think about the characteristics of polynomial time and relate them to your chosen algorithm.

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