Practice Topics To Be Covered In The Course (1.5) - Design and Analysis of Algorithms

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is an algorithm?
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Think about what defines a process or method.
Question 2.
What does O(n) complexity signify?
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Consider the meaning of linear growth in mathematics.
3Question 3.
What is the primary goal of an algorithm?
- To generate random numbers
- To perform a specific task
- To organize data
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Think about the common features of processes.
4Question 4.
True or False: All algorithms have an efficient solution.
- True
- False
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Consider examples of problems intractable by common methods.
Question 5.
Craft a dynamic programming solution for the longest common subsequence problem and detail your approach.
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Think about how you can build upon previously computed results.
Question 6.
Develop a divide-and-conquer algorithm to calculate the median of two sorted arrays.
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Keep in mind how the median is defined in an ordered dataset.

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