Practice Iterative Implementation - 12.1.3 | 12. Insertion Sort | Design & Analysis of Algorithms - Vol 1
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Iterative Implementation

12.1.3 - Iterative Implementation

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main concept of Insertion Sort?

💡 Hint: Think about arranging cards in your hand.

Question 2 Easy

What is the time complexity of Insertion Sort?

💡 Hint: It's related to how much work is needed as the input grows.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of Insertion Sort?

O(n)
O(n log n)
O(n^2)

💡 Hint: Think about how many comparisons are needed as the dataset grows.

Question 2

True or False: Insertion Sort is ideal for large, randomly ordered datasets.

True
False

💡 Hint: Consider the context of small versus large datasets.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the array [56, 23, 78, 12, 90, 34], manually demonstrate the Insertion Sort method step-by-step.

💡 Hint: Remember to find the right spot for each unsorted number.

Challenge 2 Hard

Discuss how Insertion Sort would behave if given an already sorted array. What is the time complexity in this case?

💡 Hint: Think about the number of swaps needed in a sorted input.

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