Practice Binary Search Algorithm Performance (13.1.6) - Arrays vs lists, binary search - Part B
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Binary Search Algorithm Performance

Practice - Binary Search Algorithm Performance

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does a linear search do?

💡 Hint: Think about how you would search in a list of names.

Question 2 Easy

What is required for a binary search to work?

💡 Hint: Consider the order of items when searching.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the best-case time complexity of binary search?

O(n)
O(log n)
O(1)

💡 Hint: What happens if we check the very first element?

Question 2

True or False: Linear search is faster than binary search for large lists.

True
False

💡 Hint: Consider how many items need to be checked in each method.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an unsorted list, implement a linear search to find a target value. What are the limitations of your approach?

💡 Hint: Consider the size of the dataset when performing the search.

Challenge 2 Hard

Design a binary search algorithm in Python. How does the choice of data structure affect its performance?

💡 Hint: Think about how direct access to indexes compares to traversing nodes.

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Reference links

Supplementary resources to enhance your learning experience.