Practice Techniques For Problem Solving (1.2.5) - Design and Analysis of Algorithms

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8 questions

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6 sample questions

Question 1.
What is meant by the correctness of an algorithm?
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Think about how we ensure algorithms do what they are supposed to do.
Question 2.
Define asymptotic complexity.
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This is often used to compare the efficiency of algorithms.
3Question 3.
What is the primary goal of algorithm creation?
- To be complex
- To be correct and efficient
- To use multiple data types
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Consider the two essential aspects of problem-solving.
4Question 4.
True or False: A greedy algorithm will always yield the optimal solution.
- True
- False
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Think of specific examples where greedy methods fail.
Question 5.
How would you approach a problem that requires both greedy and dynamic programming techniques?
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Look for how the problem's attributes might fit both strategies.
Question 6.
Design an algorithm using divide and conquer for the maximum subarray sum problem and explain its efficiency.
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Think about how you can utilize recursion effectively.

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