Practice Key Aspects Of Algorithms (1.2) - Design and Analysis of Algorithms

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8 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the purpose of asymptotic complexity?
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Think about how it describes algorithm efficiency.
Question 2.
Define algorithm correctness.
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What do we check to prove an algorithm works?
3Question 3.
What is big O notation used for?
- Measure complexity
- Sort data
- Store data
- Generate algorithms
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Think about its role in performance analysis.
4Question 4.
True or False: A greedy algorithm always guarantees an optimal solution.
- True
- False
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Consider scenarios where this might not hold true.
Question 5.
Design an algorithm using the divide and conquer technique to find the maximum element in an array.
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Think of how to break the problem down into manageable parts.
Question 6.
Analyze the efficiency of a greedy algorithm in solving the coin change problem. Does it always provide the optimal solution?
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Consider varying coin denominations and how they impact results.

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