Practice Practical Examples Of Time Efficiency (5.5) - Design and Analysis of Algorithms

Practice: Practical Examples of Time Efficiency

Lesson 5.5Design and Analysis of Algorithms

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8 questions

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2 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 does time efficiency refer to in algorithms?
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Think about how it relates to performance.
Question 2.
Which is more flexible: upgrading memory or increasing CPU speed?
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Consider which change is easier to make.
3Question 3.
What is the purpose of measuring running time in algorithms?
- To determine the exact execution time
- To compare algorithm efficiencies
- To measure hardware performance
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Think about the goal of analysis when comparing algorithms.
4Question 4.
True or False: O(n²) algorithms are always faster than O(n log n) algorithms for large inputs.
- True
- False
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Consider the example provided in the section.
Question 5.
You are tasked to develop a game that requires locating the nearest objects among 500,000 points on a screen. Calculate and compare the run time between O(n²) and O(n log n) algorithms.
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Use the earlier mentioned time complexity explanations.
Question 6.
Analyze how the algorithm choice would impact an online shopping platform sorting through thousands of products daily.
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Consider user experiences and practicality in real-time applications.

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