Practice Calculating Time Complexity (16.5.1) - Selection Sort - Data Structures and Algorithms in Python
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Calculating Time Complexity

Practice - Calculating Time Complexity

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Practice Questions

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Question 1 Easy

What is Selection Sort?

💡 Hint: Think about picking the best student from a class.

Question 2 Easy

What does O(n²) mean?

💡 Hint: Consider how you would have to loop through items.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of algorithm is Selection Sort?

Sorting
Searching
Graph

💡 Hint: Reflect on the fundamental purpose of the algorithm.

Question 2

True or False: Selection Sort can sort a dataset of any size efficiently.

True
False

💡 Hint: Remember the time complexity discussed.

1 more question available

Challenge Problems

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Challenge 1 Hard

Given an unsorted list of integers, analyze the efficiency of Selection Sort as the list size increases from 100 to 10000. Write a brief report summarizing your observations.

💡 Hint: Compare the performance experiences from small to large lists.

Challenge 2 Hard

Design a modified version of Selection Sort, which attempts to reduce the number of swaps. Describe how this could improve efficiency.

💡 Hint: Consider how fewer movements could lead to lower overhead.

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