Practice Worst Case and Average Case Analysis - 6.2 | 6. Input Size and Running Time | Design & Analysis of Algorithms - Vol 1
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define input size in relation to algorithms.

💡 Hint: Think about how you measure data for sorting or searching.

Question 2

Easy

What is the worst case for a linear search in an unsorted array?

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

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 does worst case analysis measure?

  • The average performance of an algorithm
  • The scenario that takes the most time
  • Performance under best conditions

💡 Hint: Think about the definition of worst case.

Question 2

True or False? Average case analysis is easier to compute than worst case analysis.

  • True
  • False

💡 Hint: Which analysis is usually more straightforward?

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider two sorting algorithms: one with an average case of O(n log n) and another with a worst case of O(n^2). Describe a scenario where the better average case algorithm might perform worse in execution.

💡 Hint: Think about how the size of the dataset affects performance.

Question 2

Given an unsorted list of numbers, develop an algorithm to find the maximum number. Analyze its worst case and average case performance.

💡 Hint: What happens if the maximum number is always at the end?

Challenge and get performance evaluation