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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the time complexity of the merge operation?
💡 Hint: Consider how many elements are in both arrays.
Question 2
Easy
What happens if one array is exhausted during merging?
💡 Hint: Think about what it means to have one array 'empty'.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of the iterative merge function?
- To sort an array
- To combine two sorted arrays
- To reverse an array
💡 Hint: Think about what merging means in the context of sorted arrays.
Question 2
True or False: Merge sort is not suitable for large datasets due to its O(n^2) time complexity.
- True
- False
💡 Hint: Focus on the complexities of sorting algorithms.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Write a detailed explanation of how merge sort works, including both the divide and merge steps, and discuss its advantages over other sorting algorithms.
💡 Hint: Try outlining the steps methodically.
Question 2
Create a visual representation that illustrates both the merge sort process and the iterative merging of two sorted arrays.
💡 Hint: Visuals help in understanding how the merging at each level occurs.
Challenge and get performance evaluation