Practice Correctness Of Algorithms (1.2.1) - Design and Analysis of Algorithms

Practice: Correctness of Algorithms

Lesson 1.2.1Design and Analysis of Algorithms

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9 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is correctness in the context of algorithms?
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Think about what happens if an algorithm fails to solve the problem.
Question 2.
What does Big O notation help us with?
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Consider how you would compare two algorithms.
3Question 3.
What is the meaning of correctness in algorithms?
- A: Performance measurement
- B: Accuracy in functionality
- C: Time required for execution
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Think about what happens when an algorithm fails to deliver the expected results.
4Question 4.
True or False: Big O Notation is used to express time complexity growth as input size increases.
- True
- False
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Consider how you measure time complexity.
Question 5.
Analyze an algorithm that performs sorting. Discuss its efficiency and correctness, including any potential issues with edge cases.
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Consider how different scenarios can impact performance.
Question 6.
Create a proof of correctness for a simple recursive algorithm, such as factorial calculation. Discuss both its base case and recursive case.
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Recall how to use induction to show correctness.

5 more questions in this section. Enroll free to practise them all.