Practice Definition of Input Size - 6.1.1 | 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 we quantify the data in an algorithm.

Question 2

Easy

What does worst-case analysis help us understand?

💡 Hint: Consider scenarios where inputs might be challenging.

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 'input size' refer to in algorithm analysis?

  • The amount of data
  • The time an algorithm takes
  • The programming language used

💡 Hint: Focus on what metrics influence algorithm performance.

Question 2

True or False: The average case analysis is always more informative than the worst-case analysis.

  • True
  • False

💡 Hint: Think about when you would want maximum performance assurance.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

In an algorithm that sorts an array, what is the worst-case scenario when determining the time complexity? Illustrate this with an example.

💡 Hint: Think of sorting methods and how they operate on data.

Question 2

Discuss how changing the representation of graphs (adjacency matrix vs. adjacency list) affects the complexity of operations and the definition of input sizes.

💡 Hint: Visualize how graph data structures differ and their relationship with operations.

Challenge and get performance evaluation