Practice Introduction To Design (5.1.1) - Design and Analysis of Algorithms

Practice: Introduction to Design

Lesson 5.1.1Design 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.
Define algorithm design in your own words.
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Think about how you would explain this to someone new to programming.
Question 2.
What does time efficiency measure?
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Consider the time it takes to perform operations.
3Question 3.
What does is the primary focus of algorithm analysis?
- Correctness
- Time Efficiency
- Space Usage
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Think about the practical constraints of hardware.
4Question 4.
True or False: The space efficiency of an algorithm is always more important than time efficiency.
- True
- False
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Reflect on the flexibility of adding more memory.
Question 5.
If you have an algorithm with a time complexity of O(n log n) and you need to process an input size of 1,000, how many operations would it approximately take?
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Use the logarithmic scale for calculations.
Question 6.
Discuss the ramifications of using an O(n²) algorithm for a sorting task with 10 million entries. What challenges would arise?
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Think about how large numbers can drastically affect performance.

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