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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a binary search tree? Provide a brief definition.
💡 Hint: Think about the structure and purpose of search trees.
Question 2
Easy
Describe a greedy algorithm.
💡 Hint: Consider how immediate benefits can lead to a solution.
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 is the time complexity for searching an element in a balanced binary search tree?
💡 Hint: Consider how tree height affects operations.
Question 2
True or False: Greedy algorithms always produce the optimal solution.
💡 Hint: Think about scenarios where local choices do not yield the best overall result.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Create a balanced binary search tree by inserting the following numbers in the stated order: 30, 20, 10, 40, 50. Explain the balancing process if needed.
💡 Hint: Consider how you might rotate nodes to keep the tree balanced.
Question 2
Identify a scenario where a greedy algorithm fails to optimize effectively and describe an alternative solution.
💡 Hint: Think about how different routes can connect and compare their total costs.
Challenge and get performance evaluation