Practice Search And Sort (6.3.3) - Demonstrate Proficiency in Recursive Problem-Solving
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Search and Sort

Practice - Search and Sort

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the first requirement for binary search?

💡 Hint: Think about how binary search divides the search space.

Question 2 Easy

What is the time complexity of merge sort?

💡 Hint: Recall how divide-and-conquer strategies perform.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of binary search?

O(n)
O(log n)
O(n log n)

💡 Hint: Think about how many times you can halve a number.

Question 2

True or False: Merge sort can be faster than quick sort for all types of datasets.

True
False

💡 Hint: Consider performance in practical scenarios versus worst-case situations.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a new sorting algorithm that uses a combination of merge and quick sort strategies. Explain your approach.

💡 Hint: Consider how each approach handles sorting differently.

Challenge 2 Hard

Write a recursive function to implement binary search and test it with various datasets.

💡 Hint: Don’t forget to define your base cases.

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Reference links

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