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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an algorithm?
💡 Hint: Think about how you would give directions to someone.
Question 2
Easy
What does Big O notation describe?
💡 Hint: Remember it relates to efficiency.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Big O notation measure?
💡 Hint: Think about how we compare algorithms.
Question 2
True or False: Greedy algorithms always find the optimal solution.
💡 Hint: Consider scenarios with conflicting choices.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Design an algorithm for sorting an array of integers and analyze its time complexity using Big O notation.
💡 Hint: Think about how you would break down sorting.
Question 2
Create a dynamic programming algorithm for the Fibonacci sequence and explain how it optimizes recursive computation.
💡 Hint: Consider how overlapping subproblems can be reused.
Challenge and get performance evaluation