Practice Efficiency Of Combining Results (19.5.2) - Mergesort - Part A
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Efficiency of Combining Results

Practice - Efficiency of Combining Results

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is merge sort used for?

💡 Hint: Think about the size and organization of data.

Question 2 Easy

Describe what happens when one list is exhausted during merging.

💡 Hint: Remember the process of combining two lists.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of merge sort?

O(n)
O(n log n)
O(n²)

💡 Hint: Consider the difference in performance between algorithms.

Question 2

Merge sort is a stable sorting algorithm. True or False?

True
False

💡 Hint: Think about how items are handled in a sorted list.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a list of integers, create a Python function implementing merge sort and explain how recursion is utilized.

💡 Hint: Remember to test the function with various lists to ensure performance.

Challenge 2 Hard

Discuss the implications of using merge sort with a large dataset in terms of both time and space complexity.

💡 Hint: Compare with other algorithms to see merging's impact.

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Reference links

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