Practice Efficiency of Algorithms - 1.2.2 | 1. Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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Efficiency of Algorithms

1.2.2 - Efficiency of Algorithms

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define Big O notation.

💡 Hint: Think about how we express algorithm efficiency.

Question 2 Easy

What is the purpose of proving an algorithm's correctness?

💡 Hint: Consider the impact of incorrect algorithms.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Big O notation measure?

Time complexity
Space complexity
Both

💡 Hint: Consider how Big O is defined.

Question 2

True or False: All greedy algorithms provide an optimal solution.

True
False

💡 Hint: Consider examples where greedy does not yield the best result.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Propose an algorithm that uses the greedy approach to solve the change-making problem. Discuss its efficiency and potential drawbacks.

💡 Hint: Consider coin denominations and how greedy selection might lead to suboptimal solutions.

Challenge 2 Hard

Given an array, devise a divide and conquer algorithm to find the maximum element. Explore the time complexity of your solution.

💡 Hint: Reflect on how you are breaking the problem down into smaller pieces.

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